completed

HTTP 200

2 redirects

38 checks

Website audit scorecard for astechlabs.co.in

The scanner fetched the public page, extracted deterministic facts, and stored scored results across SEO / AEO, security, accessibility, and design.

Submitted

http://astechlabs.co.in

Final URL

https://www.astechlabs.co.in

Created

Aug 6, 2026, 11:29 AM

Safe fetch

365 ms

Four-score result

Ready to share (Strong): 36 passed, 1 failed, and 1 unknown. Strongest area: SEO / AEO. Weakest area: Design.

Overall

out of 100

SEO / AEO

100

out of 100

111/111 rule points

Security

100

out of 100

76/76 rule points

Accessibility

100

out of 100

94/94 rule points

Design

out of 100

101/110 rule points

Why this scored this way

Scores are deterministic: each category earns rule points for verified public signals and loses points for failed checks. Unknown checks are shown separately instead of guessed.

Category point breakdown

SEO / AEO111/111

Security76/76

Accessibility94/94

Design101/110

Biggest score-losing checks

medium

Design

Rendered layout ergonomics

Horizontal overflow: 0px. Small tap targets: 5.

Recommendations

Score-losing issues ordered by remediation priority, severity, and score impact.

2 fixes

6 opportunities

9 insights

fail

medium

Design

Priority 13

Fix rendered layout ergonomics

-9 rule pts

What failed

The browser-rendered page has layout or tap-target issues.

Evidence

Horizontal overflow: 0px. Small tap targets: 5.

Priority

Priority 13: fix during launch polish.

Why it matters

Horizontal overflow and tiny tap targets make the page feel broken on real devices, especially for mobile visitors.

How to fix it

Remove elements wider than the viewport, add responsive constraints, and make important links, buttons, inputs, and controls at least 40px tall and wide where possible.

Copyable agent prompt

## Role
Act as a focused conversion-focused frontend quality remediation expert who can inspect the public page and safely improve the underlying implementation.
## Inputs
- Primary context: Improve astechlabs.co.in at https://www.astechlabs.co.in.
- Scanner check ID: design_rendered_layout.
- Fix title: Fix rendered layout ergonomics.
- Scanner check: Rendered layout ergonomics.
- Category: Design.
- Status: fail.
- Severity: medium.
- Priority: 13; lower numbers are more urgent.
- Score impact: 9 rule points lost.
- Evidence: Horizontal overflow: 0px. Small tap targets: 5.
- What needs attention: The browser-rendered page has layout or tap-target issues.
- Why it matters: Horizontal overflow and tiny tap targets make the page feel broken on real devices, especially for mobile visitors.
- Status-specific guidance: A public check reported a failure. Reproduce or inspect the issue first, then make the smallest safe fix.
- Audience or recipient: The site owner, builder, or marketing team responsible for improving this public page.
- Constraints, examples, or source material: Treat the live URL as the public target to inspect, not as the only source of truth. When repository, CMS, or hosting access is available, use that implementation context before changing anything.
- Target outcome: After the fix is deployed and the public page is rescanned, this specific check should improve or pass without lowering other SEO / AEO, security, accessibility, or design signals.
- Likely places to inspect: mobile viewport, horizontal overflow sources, tap target sizes, fixed-position elements, menus, forms, and embeds; page layout, responsive CSS, component states, copy hierarchy, CTA placement, spacing tokens, rendered console output, and performance-sensitive assets; the route, template, component, CMS entry, theme file, or static page that renders the scanned URL; shared layout, metadata, routing, middleware, server, CDN, or hosting configuration if the issue is not in page content; existing tests, build scripts, preview commands, and deployment notes before choosing verification steps.
## Task
Use the provided context to safely complete this workflow: Remove elements wider than the viewport, add responsive constraints, and make important links, buttons, inputs, and controls at least 40px tall and wide where possible.
First reproduce or verify the issue from the public page and available implementation source. Then make the smallest stack-appropriate change that fixes the scanner signal and improves the real user experience.
Use this check-specific implementation guide:
- Constrain overflowing elements and increase small important tap targets where possible.
- Preserve layout intent while making the rendered page usable on real devices.
- Improve the actual rendered page at mobile and desktop sizes, not only the source code shape.
- Preserve core conversion flows while making layout, hierarchy, readability, or runtime health better.
- Keep the implementation stack-appropriate: use the existing framework, CMS, hosting provider, design system, and deployment workflow already in the project.
Acceptance criteria for this fix:
- The rendered page has no meaningful horizontal overflow.
- Important links, buttons, inputs, and controls are comfortably tappable.
- The rendered page is visually stable and usable on mobile and desktop viewports.
- The fix does not hide content, break CTAs, introduce console errors, or reduce clarity for visitors.
- A fresh FreeScan rescan should show this check improved or passing after deployment.
## Output
Return a structured response with these headings: Findings, Changes Made, Verification Results, Rescan Expectation, Rollback Notes, Assumptions.
## Rules
- Ask a clarifying question when required context is missing.
- Preserve the user's intent and avoid inventing facts.
- Verify the issue exists before changing code or content. If the issue is not reproducible, explain what you checked and recommend no code change.
- If the live URL and implementation source disagree, trust the implementation source for edits and use the live URL only to understand current public behavior.
- Keep the change narrowly scoped to this fix unless another change is required to avoid a regression.
- Match the existing framework, style, design system, routing patterns, and content conventions.
- Preserve existing URLs, forms, analytics, SEO metadata, accessibility semantics, and conversion flows unless the fix explicitly requires changing them.
- Do not perform broad refactors, dependency upgrades, redesigns, rewrites, migrations, file deletions, route changes, or destructive commands unless they are explicitly required and approved.
- Make changes that are easy to review and roll back.
- Prefer editing the canonical source of the page over patching built output, generated files, CDN-cached HTML, or minified assets.
- Do not make a cosmetic or placeholder change just to satisfy the scanner; the public page should be materially better for visitors, crawlers, or assistive technology.
- Verify the result with the smallest reliable test, build, browser check, or manual inspection available.
## Safety
- Do not request, expose, or reproduce sensitive data.
- Redact private details from examples unless the user explicitly says they are safe to include.
- Do not use credentials, cookies, authenticated data, hidden form values, or private response bodies.
- Do not weaken security headers, authentication, authorization, privacy controls, accessibility, or error handling to make the scan pass.

unknown

info

SEO / AEO

Priority 24

Add an LLM-readable product file

-0 rule pts

What needs verification

The scan did not find llms.txt or .well-known/llms.txt.

Evidence

No llms.txt or .well-known/llms.txt was found. This optional file does not determine AI-search eligibility.

Priority

Priority 24: lower-risk cleanup after urgent launch blockers.

Why it matters

A short LLM-readable file can help answer engines and AI tools summarize your product accurately.

How to fix it

Add /llms.txt or /.well-known/llms.txt with the product name, audience, value proposition, and key public links.

Copyable agent prompt

## Role
Act as a focused technical SEO, AEO, and crawlability remediation expert who can inspect the public page and safely improve the underlying implementation.
## Inputs
- Primary context: Improve astechlabs.co.in at https://www.astechlabs.co.in.
- Scanner check ID: seo_llms_txt.
- Fix title: Add an LLM-readable product file.
- Scanner check: Optional LLM-readable file.
- Category: SEO / AEO.
- Status: unknown.
- Severity: info.
- Priority: 24; lower numbers are more urgent.
- Score impact: 0 rule points lost.
- Evidence: No llms.txt or .well-known/llms.txt was found. This optional file does not determine AI-search eligibility.
- What needs attention: The scan did not find llms.txt or .well-known/llms.txt.
- Why it matters: A short LLM-readable file can help answer engines and AI tools summarize your product accurately.
- Status-specific guidance: The scanner could not verify this from safe public data. Manually verify first; if the site already handles it correctly, report that no code change is needed.
- Audience or recipient: The site owner, builder, or marketing team responsible for improving this public page.
- Constraints, examples, or source material: Treat the live URL as the public target to inspect, not as the only source of truth. When repository, CMS, or hosting access is available, use that implementation context before changing anything.
- Target outcome: After the fix is deployed and the public page is rescanned, this specific check should improve or pass without lowering other SEO / AEO, security, accessibility, or design signals.
- Likely places to inspect: public /llms.txt or /.well-known/llms.txt route/file and source content used to describe the product; metadata/head configuration, canonical URL logic, robots and sitemap routes, structured data blocks, page copy, headings, and internal navigation; the route, template, component, CMS entry, theme file, or static page that renders the scanned URL; shared layout, metadata, routing, middleware, server, CDN, or hosting configuration if the issue is not in page content; existing tests, build scripts, preview commands, and deployment notes before choosing verification steps.
## Task
Use the provided context to safely complete this workflow: Add /llms.txt or /.well-known/llms.txt with the product name, audience, value proposition, and key public links.
First reproduce or verify the issue from the public page and available implementation source. Then make the smallest stack-appropriate change that fixes the scanner signal and improves the real user experience.
Use this check-specific implementation guide:
- Add a concise text file with product name, audience, value proposition, important public links, and any relevant docs/support URLs.
- Keep it factual and aligned with visible public content.
- Keep all metadata, headings, schema, canonical URLs, and visible copy consistent with the same public facts.
- Use accurate, crawlable, human-visible content as the source for search and answer-engine improvements.
- Keep the implementation stack-appropriate: use the existing framework, CMS, hosting provider, design system, and deployment workflow already in the project.
Acceptance criteria for this fix:
- /llms.txt or /.well-known/llms.txt returns HTTP 200 publicly.
- The content is short, accurate, and useful for AI tools without exposing private details.
- The public URL exposes the corrected crawl/search/answer signal in rendered HTML or reachable public files.
- The change should be visible to a fresh unauthenticated request and likely improve the related FreeScan SEO / AEO check on rescan.
- A fresh FreeScan rescan should show this check improved or passing after deployment.
## Output
Return a structured response with these headings: Findings, Changes Made, Verification Results, Rescan Expectation, Rollback Notes, Assumptions.
## Rules
- Ask a clarifying question when required context is missing.
- Preserve the user's intent and avoid inventing facts.
- Verify the issue exists before changing code or content. If the issue is not reproducible, explain what you checked and recommend no code change.
- If the live URL and implementation source disagree, trust the implementation source for edits and use the live URL only to understand current public behavior.
- Keep the change narrowly scoped to this fix unless another change is required to avoid a regression.
- Match the existing framework, style, design system, routing patterns, and content conventions.
- Preserve existing URLs, forms, analytics, SEO metadata, accessibility semantics, and conversion flows unless the fix explicitly requires changing them.
- Do not perform broad refactors, dependency upgrades, redesigns, rewrites, migrations, file deletions, route changes, or destructive commands unless they are explicitly required and approved.
- Make changes that are easy to review and roll back.
- Prefer editing the canonical source of the page over patching built output, generated files, CDN-cached HTML, or minified assets.
- Do not make a cosmetic or placeholder change just to satisfy the scanner; the public page should be materially better for visitors, crawlers, or assistive technology.
- Verify the result with the smallest reliable test, build, browser check, or manual inspection available.
## Safety
- Do not request, expose, or reproduce sensitive data.
- Redact private details from examples unless the user explicitly says they are safe to include.
- Do not use credentials, cookies, authenticated data, hidden form values, or private response bodies.
- Do not weaken security headers, authentication, authorization, privacy controls, accessibility, or error handling to make the scan pass.

Score aggregation details

Category scores come from earned rule points divided by available rule points. Failed checks are ordered by severity and score lost.

100/100

12 pass, 0 fail, 1 unknown

SEO / AEO

Severity mix: 1 critical, 7 high, 3 medium, 1 low.

No failed checks in this category.

100/100

6 pass, 0 fail, 0 unknown

Security

Severity mix: 2 critical, 3 high, 0 medium, 0 low.

No failed checks in this category.

100/100

8 pass, 0 fail, 0 unknown

Accessibility

Severity mix: 0 critical, 3 high, 5 medium, 0 low.

No failed checks in this category.

92/100

10 pass, 1 fail, 0 unknown

Design

Severity mix: 0 critical, 3 high, 6 medium, 2 low.

medium

Rendered layout ergonomics

-9 rule pts

Horizontal overflow: 0px. Small tap targets: 5.

Full check list

Failed, unknown, and passed checks are all shown so the report is transparent even when public data is partial.

Showing failed checks.

Failed checks

These checks need attention.

fail

medium

Design

Rendered layout ergonomics

0/9

Horizontal overflow: 0px. Small tap targets: 5.

Failed: earned 0 of 9 points.

Priority: Priority 13: fix during launch polish.

Why it matters: Horizontal overflow and tiny tap targets make the page feel broken on real devices, especially for mobile visitors.

Fix: Remove elements wider than the viewport, add responsive constraints, and make important links, buttons, inputs, and controls at least 40px tall and wide where possible.

Copyable agent prompt

## Role
Act as a focused conversion-focused frontend quality remediation expert who can inspect the public page and safely improve the underlying implementation.
## Inputs
- Primary context: Improve astechlabs.co.in at https://www.astechlabs.co.in.
- Scanner check ID: design_rendered_layout.
- Fix title: Fix rendered layout ergonomics.
- Scanner check: Rendered layout ergonomics.
- Category: Design.
- Status: fail.
- Severity: medium.
- Priority: 13; lower numbers are more urgent.
- Score impact: 9 of 9 rule points lost.
- Evidence: Horizontal overflow: 0px. Small tap targets: 5.
- What needs attention: The browser-rendered page has layout or tap-target issues.
- Why it matters: Horizontal overflow and tiny tap targets make the page feel broken on real devices, especially for mobile visitors.
- Status-specific guidance: A public check reported a failure. Reproduce or inspect the issue first, then make the smallest safe fix.
- Audience or recipient: The site owner, builder, or marketing team responsible for improving this public page.
- Constraints, examples, or source material: Treat the live URL as the public target to inspect, not as the only source of truth. When repository, CMS, or hosting access is available, use that implementation context before changing anything.
- Target outcome: After the fix is deployed and the public page is rescanned, this specific check should improve or pass without lowering other SEO / AEO, security, accessibility, or design signals.
- Likely places to inspect: mobile viewport, horizontal overflow sources, tap target sizes, fixed-position elements, menus, forms, and embeds; page layout, responsive CSS, component states, copy hierarchy, CTA placement, spacing tokens, rendered console output, and performance-sensitive assets; the route, template, component, CMS entry, theme file, or static page that renders the scanned URL; shared layout, metadata, routing, middleware, server, CDN, or hosting configuration if the issue is not in page content; existing tests, build scripts, preview commands, and deployment notes before choosing verification steps.
## Task
Use the provided context to safely complete this workflow: Remove elements wider than the viewport, add responsive constraints, and make important links, buttons, inputs, and controls at least 40px tall and wide where possible.
First reproduce or verify the issue from the public page and available implementation source. Then make the smallest stack-appropriate change that fixes the scanner signal and improves the real user experience.
Use this check-specific implementation guide:
- Constrain overflowing elements and increase small important tap targets where possible.
- Preserve layout intent while making the rendered page usable on real devices.
- Improve the actual rendered page at mobile and desktop sizes, not only the source code shape.
- Preserve core conversion flows while making layout, hierarchy, readability, or runtime health better.
- Keep the implementation stack-appropriate: use the existing framework, CMS, hosting provider, design system, and deployment workflow already in the project.
Acceptance criteria for this fix:
- The rendered page has no meaningful horizontal overflow.
- Important links, buttons, inputs, and controls are comfortably tappable.
- The rendered page is visually stable and usable on mobile and desktop viewports.
- The fix does not hide content, break CTAs, introduce console errors, or reduce clarity for visitors.
- A fresh FreeScan rescan should show this check improved or passing after deployment.
## Output
Return a structured response with these headings: Findings, Changes Made, Verification Results, Rescan Expectation, Rollback Notes, Assumptions.
## Rules
- Ask a clarifying question when required context is missing.
- Preserve the user's intent and avoid inventing facts.
- Verify the issue exists before changing code or content. If the issue is not reproducible, explain what you checked and recommend no code change.
- If the live URL and implementation source disagree, trust the implementation source for edits and use the live URL only to understand current public behavior.
- Keep the change narrowly scoped to this fix unless another change is required to avoid a regression.
- Match the existing framework, style, design system, routing patterns, and content conventions.
- Preserve existing URLs, forms, analytics, SEO metadata, accessibility semantics, and conversion flows unless the fix explicitly requires changing them.
- Do not perform broad refactors, dependency upgrades, redesigns, rewrites, migrations, file deletions, route changes, or destructive commands unless they are explicitly required and approved.
- Make changes that are easy to review and roll back.
- Prefer editing the canonical source of the page over patching built output, generated files, CDN-cached HTML, or minified assets.
- Do not make a cosmetic or placeholder change just to satisfy the scanner; the public page should be materially better for visitors, crawlers, or assistive technology.
- Verify the result with the smallest reliable test, build, browser check, or manual inspection available.
## Safety
- Do not request, expose, or reproduce sensitive data.
- Redact private details from examples unless the user explicitly says they are safe to include.
- Do not use credentials, cookies, authenticated data, hidden form values, or private response bodies.
- Do not weaken security headers, authentication, authorization, privacy controls, accessibility, or error handling to make the scan pass.

Page-level AEO readiness

Shared eligibility and content signals that affect every search and answer agent.

100/100 ready

Index and citation eligibility

No general noindex directive was detected.

Snippet and answer controls

No general nosnippet or max-snippet:0 control was detected.

Canonical alignment

The canonical resolves to the scanned public URL.

Sitemap coverage and freshness

The exact URL appears in the fetched sitemap with lastmod 2026-08-06T10:57:42.769Z.

Structured data

Detected 3 JSON-LD block(s), 0 parse error(s), and types ContactPoint, ItemList, ListItem, Organization, PostalAddress, WebSite.

Public or paywalled content

No isAccessibleForFree structured-data value was detected.

Entity clarity

Detected 3 of 3 core identity signals across the title, description, and H1.

Answer-ready visible text

Detected 357 visible words and 4 audience, use-case, pricing, or integration signals.

Authorship and accountability

No author meta value or structured-data author was detected.

Published or updated date

No datePublished or dateModified value was detected in structured data.

Supporting-source links

Detected 2 external source or reference link(s); link quality still requires editorial review.

Rendered content availability

Rendered audit completed with 177 visible text element(s).

Synthetic search-agent reachability

8 of 8 search/discovery User-Agent probes returned reachable content.

Optional LLM-readable summary

No llms.txt file was found; this is optional and does not reduce core AEO readiness.

OpenAIChatGPT search

OAI-SearchBot

PASS · ALLOWED

AI search

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

OpenAIOpenAI model training

GPTBot

POLICY ALLOWED

Model training

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

OpenAIChatGPT user fetches

ChatGPT-User

UNKNOWN

User-requested fetch

Robots: not applicable to user-requested fetches

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AnthropicClaude model training

ClaudeBot

POLICY ALLOWED

Model training

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AnthropicClaude search

Claude-SearchBot

PASS · ALLOWED

AI search

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AnthropicClaude user fetches

Claude-User

PASS · ALLOWED

User-requested fetch

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

GoogleGoogle Search and AI features

Googlebot

PASS · ALLOWED

Search and discovery

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

GoogleGemini data use and grounding

Google-Extended

POLICY ALLOWED

Data-use policy control

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

MicrosoftBing and Copilot

Bingbot

PASS · ALLOWED

Search and discovery

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

PerplexityPerplexity search

PerplexityBot

PASS · ALLOWED

AI search

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

PerplexityPerplexity user fetches

Perplexity-User

UNKNOWN

User-requested fetch

Robots: not applicable to user-requested fetches

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AppleSiri, Spotlight, and Safari search

Applebot

PASS · ALLOWED

Search and discovery

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AppleApple foundation-model training

Applebot-Extended

POLICY ALLOWED

Data-use policy control

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

Mistral AIMistral search

MistralAI-Index

PASS · ALLOWED

AI search

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

Mistral AIMistral user fetches

MistralAI-User

PASS · ALLOWED

User-requested fetch

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

MetaMeta AI model and product data

meta-externalagent

POLICY ALLOWED

Model training

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

MetaMeta AI user fetches

meta-externalfetcher

PASS · ALLOWED

User-requested fetch

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AmazonAmazon model training

Amazonbot

POLICY ALLOWED

Model training

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AmazonAlexa and Rufus search

Amzn-SearchBot

PASS · ALLOWED

AI search

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AmazonAlexa user fetches

Amzn-User

PASS · ALLOWED

User-requested fetch

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

Common CrawlOpen web datasets

CCBot

POLICY ALLOWED

Model training

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

Ready combines robots policy, a bounded synthetic User-Agent fetch, indexability, and snippet eligibility. Synthetic probes do not prove vendor-origin traffic. Purple preference states are training or data-use choices and do not lower the AEO score.

Public report link

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astechlabs.co.in website audit report

Ready to share: 98/100 overall, with prioritized fixes for SEO, security, accessibility, and design.

Public report link

Markdown report

# astechlabs.co.in Website Scan

Scanned URL: [https://www.astechlabs.co.in](https://www.astechlabs.co.in)
Report URL: /scan/astechlabs-co-in-98-launch-readiness-report-b1791f3d
Created: 2026-08-06T11:29:25.689Z

## Score Summary

- Overall: 98/100
- SEO / AEO: 100/100
- Security: 100/100
- Accessibility: 100/100
- Design: 92/100

## Launch Readiness

Ready to share (Strong).

Passed: 36. Failed: 1. Unknown: 1.
Strongest area: SEO / AEO. Weakest area: Design.

## AI Crawler Access

These results combine robots.txt policy, page controls, and bounded synthetic User-Agent probes. Synthetic probes do not prove that traffic came from the vendor; training and data-use choices are neutral publisher preferences.

- **OpenAI — ChatGPT search** (OAI-SearchBot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **OpenAI — OpenAI model training** (GPTBot): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **OpenAI — ChatGPT user fetches** (ChatGPT-User): UNKNOWN — robots not_applicable; synthetic probe not_tested. ChatGPT-User is used for user-requested retrieval, so robots.txt is not treated as a reliable access control for this row. No synthetic fetch is appropriate for this policy or training control.
- **Anthropic — Claude model training** (ClaudeBot): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **Anthropic — Claude search** (Claude-SearchBot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Anthropic — Claude user fetches** (Claude-User): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Google — Google Search and AI features** (Googlebot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Google — Gemini data use and grounding** (Google-Extended): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **Microsoft — Bing and Copilot** (Bingbot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Perplexity — Perplexity search** (PerplexityBot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Perplexity — Perplexity user fetches** (Perplexity-User): UNKNOWN — robots not_applicable; synthetic probe not_tested. Perplexity-User is used for user-requested retrieval, so robots.txt is not treated as a reliable access control for this row. No synthetic fetch is appropriate for this policy or training control.
- **Apple — Siri, Spotlight, and Safari search** (Applebot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Apple — Apple foundation-model training** (Applebot-Extended): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **Mistral AI — Mistral search** (MistralAI-Index): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Mistral AI — Mistral user fetches** (MistralAI-User): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Meta — Meta AI model and product data** (meta-externalagent): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **Meta — Meta AI user fetches** (meta-externalfetcher): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Amazon — Amazon model training** (Amazonbot): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **Amazon — Alexa and Rufus search** (Amzn-SearchBot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Amazon — Alexa user fetches** (Amzn-User): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Common Crawl — Open web datasets** (CCBot): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.

## Page-level AEO Readiness

Readiness: 100/100

- **Index and citation eligibility**: PASS — No general noindex directive was detected.
- **Snippet and answer controls**: PASS — No general nosnippet or max-snippet:0 control was detected.
- **Canonical alignment**: PASS — The canonical resolves to the scanned public URL.
- **Sitemap coverage and freshness**: PASS — The exact URL appears in the fetched sitemap with lastmod 2026-08-06T10:57:42.769Z.
- **Structured data**: PASS — Detected 3 JSON-LD block(s), 0 parse error(s), and types ContactPoint, ItemList, ListItem, Organization, PostalAddress, WebSite.
- **Public or paywalled content**: UNKNOWN — No isAccessibleForFree structured-data value was detected.
- **Entity clarity**: PASS — Detected 3 of 3 core identity signals across the title, description, and H1.
- **Answer-ready visible text**: PASS — Detected 357 visible words and 4 audience, use-case, pricing, or integration signals.
- **Authorship and accountability**: UNKNOWN — No author meta value or structured-data author was detected.
- **Published or updated date**: UNKNOWN — No datePublished or dateModified value was detected in structured data.
- **Supporting-source links**: PASS — Detected 2 external source or reference link(s); link quality still requires editorial review.
- **Rendered content availability**: PASS — Rendered audit completed with 177 visible text element(s).
- **Synthetic search-agent reachability**: PASS — 8 of 8 search/discovery User-Agent probes returned reachable content.
- **Optional LLM-readable summary**: INFO — No llms.txt file was found; this is optional and does not reduce core AEO readiness.

## Prioritized Fixes

### 1. Fix rendered layout ergonomics

- Category: Design
- Status: fail
- Severity: medium
- Rule points lost: 9
- Evidence: Horizontal overflow: 0px. Small tap targets: 5.
- Why it matters: Horizontal overflow and tiny tap targets make the page feel broken on real devices, especially for mobile visitors.
- Fix: Remove elements wider than the viewport, add responsive constraints, and make important links, buttons, inputs, and controls at least 40px tall and wide where possible.

### 2. Add an LLM-readable product file

- Category: SEO / AEO
- Status: unknown
- Severity: info
- Rule points lost: 0
- Evidence: No llms.txt or .well-known/llms.txt was found. This optional file does not determine AI-search eligibility.
- Why it matters: A short LLM-readable file can help answer engines and AI tools summarize your product accurately.
- Fix: Add /llms.txt or /.well-known/llms.txt with the product name, audience, value proposition, and key public links.

## Opportunities

### Add answer-ready sections for common buyer questions

- Impact: high
- Category: SEO / AEO
- Evidence: Pricing signals: 0. Use-case signals: 0. Integration/API signals: 2.
- Why it matters: Answer engines and search visitors need concise textual answers to summarize who the product is for, how it works, what it costs, and what it connects with.
- Next step: Add short, crawlable sections for pricing or plans, ideal users, use cases, integrations, security, and how the product differs from alternatives.

### Make trust and proof easier to detect

- Impact: medium
- Category: Design
- Evidence: Detected 1 trust-signal keyword occurrence(s).
- Why it matters: Visitors who arrive cold from search, social, or AI citations need proof before they submit a form, start a trial, or buy.
- Next step: Add honest proof such as customer quotes, recognizable logos, security notes, usage stats, reviews, case studies, or founder credibility.

### Add an optional LLM-readable site summary

- Impact: low
- Category: SEO / AEO
- Evidence: HTTP 404 returned for llms_txt.
- Why it matters: This is not required for Google AI features, but a concise public markdown summary can help AI agents and internal tools understand key pages.
- Next step: Publish a short llms.txt with product facts, audience, key public links, docs, pricing, support, and usage boundaries.

### Review snippet and preview controls

- Impact: low
- Category: SEO / AEO
- Evidence: Open Graph image was detected. Preview controls detected: 0.
- Why it matters: Preview controls can clarify how much text, image, and video content search systems may show from the page.
- Next step: Only add robots preview controls when you intentionally want to limit snippets or image/video previews; otherwise leave previews open.

### Polish rendered responsive ergonomics

- Impact: medium
- Category: Design
- Evidence: Horizontal overflow: 0px. Small tap targets: 5.
- Why it matters: Overflow and tiny controls are easy for static scans to miss but obvious to real users, especially on mobile and tablet layouts.
- Next step: Constrain wide elements, avoid fixed-width content that exceeds the viewport, and increase touch target sizes for interactive controls.

### Measure search performance with first-party data

- Impact: medium
- Category: SEO / AEO
- Evidence: robots.txt and a sitemap were reachable, so the site has the basics needed for Search Console verification and monitoring.
- Why it matters: A scan can identify technical readiness, but Search Console and analytics reveal impressions, queries, clicks, pages, and conversions over time.
- Next step: Verify the domain in Search Console, submit the sitemap, and pair query/page data with analytics events for signups, demo requests, and purchases.

## Insights

### The page appears basically crawlable

- Category: SEO / AEO
- Evidence: HTTP 200. robots.txt: HTTP 200. sitemap.xml: HTTP 200. noindex check: clear.
- Interpretation: The public page satisfies the basic crawl/index path the scan can verify.
- Recommended use: Use this as the first launch gate before deeper content, ranking, or AI visibility work.

### AEO depends on normal SEO plus answerable text

- Category: SEO / AEO
- Evidence: Visible words: 357. H1 count: 1. Audience signals: 2. CTA labels: Start a project, Start a project, Start a project, Start a conversation.
- Interpretation: Google AI features currently rely on standard Search eligibility; the extra advantage comes from content that is easy to quote, summarize, and verify.
- Recommended use: Prioritize clear text answers, crawlable support pages, accurate schema, and visible proof over speculative AI-only markup.

### Detected entity signals

- Category: SEO / AEO
- Evidence: Title: A S Tech Labs — Software & IT Consultancy. H1: Software,   thoughtfully    built.. Schema types: ContactPoint, ItemList, ListItem, Organization, PostalAddress, WebSite.
- Interpretation: The stronger and more consistent these entity signals are, the easier it is for search and answer systems to identify the brand, product category, and page purpose.
- Recommended use: Keep the title, H1, meta description, Open Graph, schema, footer, and about/pricing/docs pages aligned around the same product facts.

### Structured data is present

- Category: SEO / AEO
- Evidence: JSON-LD blocks: 3. Types: ContactPoint, ItemList, ListItem, Organization, PostalAddress, WebSite. Parse errors: 0.
- Interpretation: The page exposes machine-readable facts, but quality still depends on whether those facts match visible content.
- Recommended use: Validate JSON-LD and use only accurate facts that are visible or clearly supported on the public page.

### Weakest score area

- Category: Design
- Evidence: SEO / AEO: 100/100. Security: 100/100. Accessibility: 100/100. Design: 92/100
- Interpretation: The weakest area is Design, so improvements there should have the most visible effect on readiness.
- Recommended use: Use the score mix to choose the next workstream instead of treating every issue as equally urgent.

### LLM-readable file not found

- Category: SEO / AEO
- Evidence: HTTP 404 returned for llms_txt.
- Interpretation: llms.txt can be a useful optional summary for agents, but it should not be treated as a guaranteed AI search ranking factor.
- Recommended use: Invest first in crawlability, helpful visible content, internal links, and accurate schema; add llms.txt as a tidy supplement.

### Rendered page experience snapshot

- Category: Design
- Evidence: Rendered text samples: 100. Contrast failures: 0. Console errors: 0. Horizontal overflow: 0px.
- Interpretation: The scan inspected the browser-rendered page, so contrast, runtime, layout, and timing signals are more representative than static markup alone.
- Recommended use: Use rendered checks to prioritize issues that visitors actually experience after JavaScript and CSS load.

### Rendered speed snapshot

- Category: Design
- Evidence: DOMContentLoaded: 433ms. Load complete: 665ms. First contentful paint: 632ms. Resources: 34. Scripts: 15. Images: 0. Third-party origins: 0. Transfer: not available.
- Interpretation: These are lightweight browser timings from one rendered scan, so they are useful directional signals rather than real-user performance proof.
- Recommended use: Use slow timings, high script counts, heavy transfer size, and many third-party origins to choose focused speed work, then verify important changes with analytics or field data when available.

### Rendered axe accessibility snapshot

- Category: Accessibility
- Evidence: axe violations: 0. Critical: 0. Serious: 0. Top rules: none.
- Interpretation: axe-core catches common accessibility failures in the actual rendered DOM, but it is still automated coverage and not a full manual accessibility audit.
- Recommended use: Treat critical and serious axe failures as high-priority fixes, then manually review keyboard flow, focus states, screen reader meaning, and interaction states.

## Scope

FreeScan.app performs safe public checks only. It is not a penetration test, full SEO engagement, full accessibility audit, WCAG certification, backlink audit, rank tracker, or analytics platform.

Public reports expose the scanned public URL, safe scores, sanitized public evidence, and fix guidance. They do not include credentials, cookies, hidden form values, or sensitive response bodies.

Rescan same URL

Rerun the full deterministic scanner for astechlabs.co.in without re-entering the URL. The previous report stays saved so the next result can be compared against it.

Start free audit

New scan Visit scanned site

completed

HTTP 200

2 redirects

38 checks

Website audit scorecard for astechlabs.co.in

The scanner fetched the public page, extracted deterministic facts, and stored scored results across SEO / AEO, security, accessibility, and design.

Submitted

http://astechlabs.co.in

Final URL

https://www.astechlabs.co.in

Created

Aug 6, 2026, 11:29 AM

Safe fetch

365 ms

Four-score result

Ready to share (Strong): 36 passed, 1 failed, and 1 unknown. Strongest area: SEO / AEO. Weakest area: Design.

Overall

out of 100

SEO / AEO

100

out of 100

111/111 rule points

Security

100

out of 100

76/76 rule points

Accessibility

100

out of 100

94/94 rule points

Design

out of 100

101/110 rule points

Why this scored this way

Scores are deterministic: each category earns rule points for verified public signals and loses points for failed checks. Unknown checks are shown separately instead of guessed.

Category point breakdown

SEO / AEO111/111

Security76/76

Accessibility94/94

Design101/110

Biggest score-losing checks

medium

Design

Rendered layout ergonomics

Horizontal overflow: 0px. Small tap targets: 5.

Recommendations

Score-losing issues ordered by remediation priority, severity, and score impact.

2 fixes

6 opportunities

9 insights

fail

medium

Design

Priority 13

Fix rendered layout ergonomics

-9 rule pts

What failed

The browser-rendered page has layout or tap-target issues.

Evidence

Horizontal overflow: 0px. Small tap targets: 5.

Priority

Priority 13: fix during launch polish.

Why it matters

Horizontal overflow and tiny tap targets make the page feel broken on real devices, especially for mobile visitors.

How to fix it

Remove elements wider than the viewport, add responsive constraints, and make important links, buttons, inputs, and controls at least 40px tall and wide where possible.

Copyable agent prompt

## Role
Act as a focused conversion-focused frontend quality remediation expert who can inspect the public page and safely improve the underlying implementation.
## Inputs
- Primary context: Improve astechlabs.co.in at https://www.astechlabs.co.in.
- Scanner check ID: design_rendered_layout.
- Fix title: Fix rendered layout ergonomics.
- Scanner check: Rendered layout ergonomics.
- Category: Design.
- Status: fail.
- Severity: medium.
- Priority: 13; lower numbers are more urgent.
- Score impact: 9 rule points lost.
- Evidence: Horizontal overflow: 0px. Small tap targets: 5.
- What needs attention: The browser-rendered page has layout or tap-target issues.
- Why it matters: Horizontal overflow and tiny tap targets make the page feel broken on real devices, especially for mobile visitors.
- Status-specific guidance: A public check reported a failure. Reproduce or inspect the issue first, then make the smallest safe fix.
- Audience or recipient: The site owner, builder, or marketing team responsible for improving this public page.
- Constraints, examples, or source material: Treat the live URL as the public target to inspect, not as the only source of truth. When repository, CMS, or hosting access is available, use that implementation context before changing anything.
- Target outcome: After the fix is deployed and the public page is rescanned, this specific check should improve or pass without lowering other SEO / AEO, security, accessibility, or design signals.
- Likely places to inspect: mobile viewport, horizontal overflow sources, tap target sizes, fixed-position elements, menus, forms, and embeds; page layout, responsive CSS, component states, copy hierarchy, CTA placement, spacing tokens, rendered console output, and performance-sensitive assets; the route, template, component, CMS entry, theme file, or static page that renders the scanned URL; shared layout, metadata, routing, middleware, server, CDN, or hosting configuration if the issue is not in page content; existing tests, build scripts, preview commands, and deployment notes before choosing verification steps.
## Task
Use the provided context to safely complete this workflow: Remove elements wider than the viewport, add responsive constraints, and make important links, buttons, inputs, and controls at least 40px tall and wide where possible.
First reproduce or verify the issue from the public page and available implementation source. Then make the smallest stack-appropriate change that fixes the scanner signal and improves the real user experience.
Use this check-specific implementation guide:
- Constrain overflowing elements and increase small important tap targets where possible.
- Preserve layout intent while making the rendered page usable on real devices.
- Improve the actual rendered page at mobile and desktop sizes, not only the source code shape.
- Preserve core conversion flows while making layout, hierarchy, readability, or runtime health better.
- Keep the implementation stack-appropriate: use the existing framework, CMS, hosting provider, design system, and deployment workflow already in the project.
Acceptance criteria for this fix:
- The rendered page has no meaningful horizontal overflow.
- Important links, buttons, inputs, and controls are comfortably tappable.
- The rendered page is visually stable and usable on mobile and desktop viewports.
- The fix does not hide content, break CTAs, introduce console errors, or reduce clarity for visitors.
- A fresh FreeScan rescan should show this check improved or passing after deployment.
## Output
Return a structured response with these headings: Findings, Changes Made, Verification Results, Rescan Expectation, Rollback Notes, Assumptions.
## Rules
- Ask a clarifying question when required context is missing.
- Preserve the user's intent and avoid inventing facts.
- Verify the issue exists before changing code or content. If the issue is not reproducible, explain what you checked and recommend no code change.
- If the live URL and implementation source disagree, trust the implementation source for edits and use the live URL only to understand current public behavior.
- Keep the change narrowly scoped to this fix unless another change is required to avoid a regression.
- Match the existing framework, style, design system, routing patterns, and content conventions.
- Preserve existing URLs, forms, analytics, SEO metadata, accessibility semantics, and conversion flows unless the fix explicitly requires changing them.
- Do not perform broad refactors, dependency upgrades, redesigns, rewrites, migrations, file deletions, route changes, or destructive commands unless they are explicitly required and approved.
- Make changes that are easy to review and roll back.
- Prefer editing the canonical source of the page over patching built output, generated files, CDN-cached HTML, or minified assets.
- Do not make a cosmetic or placeholder change just to satisfy the scanner; the public page should be materially better for visitors, crawlers, or assistive technology.
- Verify the result with the smallest reliable test, build, browser check, or manual inspection available.
## Safety
- Do not request, expose, or reproduce sensitive data.
- Redact private details from examples unless the user explicitly says they are safe to include.
- Do not use credentials, cookies, authenticated data, hidden form values, or private response bodies.
- Do not weaken security headers, authentication, authorization, privacy controls, accessibility, or error handling to make the scan pass.

unknown

info

SEO / AEO

Priority 24

Add an LLM-readable product file

-0 rule pts

What needs verification

The scan did not find llms.txt or .well-known/llms.txt.

Evidence

No llms.txt or .well-known/llms.txt was found. This optional file does not determine AI-search eligibility.

Priority

Priority 24: lower-risk cleanup after urgent launch blockers.

Why it matters

A short LLM-readable file can help answer engines and AI tools summarize your product accurately.

How to fix it

Add /llms.txt or /.well-known/llms.txt with the product name, audience, value proposition, and key public links.

Copyable agent prompt

## Role
Act as a focused technical SEO, AEO, and crawlability remediation expert who can inspect the public page and safely improve the underlying implementation.
## Inputs
- Primary context: Improve astechlabs.co.in at https://www.astechlabs.co.in.
- Scanner check ID: seo_llms_txt.
- Fix title: Add an LLM-readable product file.
- Scanner check: Optional LLM-readable file.
- Category: SEO / AEO.
- Status: unknown.
- Severity: info.
- Priority: 24; lower numbers are more urgent.
- Score impact: 0 rule points lost.
- Evidence: No llms.txt or .well-known/llms.txt was found. This optional file does not determine AI-search eligibility.
- What needs attention: The scan did not find llms.txt or .well-known/llms.txt.
- Why it matters: A short LLM-readable file can help answer engines and AI tools summarize your product accurately.
- Status-specific guidance: The scanner could not verify this from safe public data. Manually verify first; if the site already handles it correctly, report that no code change is needed.
- Audience or recipient: The site owner, builder, or marketing team responsible for improving this public page.
- Constraints, examples, or source material: Treat the live URL as the public target to inspect, not as the only source of truth. When repository, CMS, or hosting access is available, use that implementation context before changing anything.
- Target outcome: After the fix is deployed and the public page is rescanned, this specific check should improve or pass without lowering other SEO / AEO, security, accessibility, or design signals.
- Likely places to inspect: public /llms.txt or /.well-known/llms.txt route/file and source content used to describe the product; metadata/head configuration, canonical URL logic, robots and sitemap routes, structured data blocks, page copy, headings, and internal navigation; the route, template, component, CMS entry, theme file, or static page that renders the scanned URL; shared layout, metadata, routing, middleware, server, CDN, or hosting configuration if the issue is not in page content; existing tests, build scripts, preview commands, and deployment notes before choosing verification steps.
## Task
Use the provided context to safely complete this workflow: Add /llms.txt or /.well-known/llms.txt with the product name, audience, value proposition, and key public links.
First reproduce or verify the issue from the public page and available implementation source. Then make the smallest stack-appropriate change that fixes the scanner signal and improves the real user experience.
Use this check-specific implementation guide:
- Add a concise text file with product name, audience, value proposition, important public links, and any relevant docs/support URLs.
- Keep it factual and aligned with visible public content.
- Keep all metadata, headings, schema, canonical URLs, and visible copy consistent with the same public facts.
- Use accurate, crawlable, human-visible content as the source for search and answer-engine improvements.
- Keep the implementation stack-appropriate: use the existing framework, CMS, hosting provider, design system, and deployment workflow already in the project.
Acceptance criteria for this fix:
- /llms.txt or /.well-known/llms.txt returns HTTP 200 publicly.
- The content is short, accurate, and useful for AI tools without exposing private details.
- The public URL exposes the corrected crawl/search/answer signal in rendered HTML or reachable public files.
- The change should be visible to a fresh unauthenticated request and likely improve the related FreeScan SEO / AEO check on rescan.
- A fresh FreeScan rescan should show this check improved or passing after deployment.
## Output
Return a structured response with these headings: Findings, Changes Made, Verification Results, Rescan Expectation, Rollback Notes, Assumptions.
## Rules
- Ask a clarifying question when required context is missing.
- Preserve the user's intent and avoid inventing facts.
- Verify the issue exists before changing code or content. If the issue is not reproducible, explain what you checked and recommend no code change.
- If the live URL and implementation source disagree, trust the implementation source for edits and use the live URL only to understand current public behavior.
- Keep the change narrowly scoped to this fix unless another change is required to avoid a regression.
- Match the existing framework, style, design system, routing patterns, and content conventions.
- Preserve existing URLs, forms, analytics, SEO metadata, accessibility semantics, and conversion flows unless the fix explicitly requires changing them.
- Do not perform broad refactors, dependency upgrades, redesigns, rewrites, migrations, file deletions, route changes, or destructive commands unless they are explicitly required and approved.
- Make changes that are easy to review and roll back.
- Prefer editing the canonical source of the page over patching built output, generated files, CDN-cached HTML, or minified assets.
- Do not make a cosmetic or placeholder change just to satisfy the scanner; the public page should be materially better for visitors, crawlers, or assistive technology.
- Verify the result with the smallest reliable test, build, browser check, or manual inspection available.
## Safety
- Do not request, expose, or reproduce sensitive data.
- Redact private details from examples unless the user explicitly says they are safe to include.
- Do not use credentials, cookies, authenticated data, hidden form values, or private response bodies.
- Do not weaken security headers, authentication, authorization, privacy controls, accessibility, or error handling to make the scan pass.

Score aggregation details

Category scores come from earned rule points divided by available rule points. Failed checks are ordered by severity and score lost.

100/100

12 pass, 0 fail, 1 unknown

SEO / AEO

Severity mix: 1 critical, 7 high, 3 medium, 1 low.

No failed checks in this category.

100/100

6 pass, 0 fail, 0 unknown

Security

Severity mix: 2 critical, 3 high, 0 medium, 0 low.

No failed checks in this category.

100/100

8 pass, 0 fail, 0 unknown

Accessibility

Severity mix: 0 critical, 3 high, 5 medium, 0 low.

No failed checks in this category.

92/100

10 pass, 1 fail, 0 unknown

Design

Severity mix: 0 critical, 3 high, 6 medium, 2 low.

medium

Rendered layout ergonomics

-9 rule pts

Horizontal overflow: 0px. Small tap targets: 5.

Full check list

Failed, unknown, and passed checks are all shown so the report is transparent even when public data is partial.

Showing failed checks.

Failed checks

These checks need attention.

fail

medium

Design

Rendered layout ergonomics

0/9

Horizontal overflow: 0px. Small tap targets: 5.

Failed: earned 0 of 9 points.

Priority: Priority 13: fix during launch polish.

Why it matters: Horizontal overflow and tiny tap targets make the page feel broken on real devices, especially for mobile visitors.

Fix: Remove elements wider than the viewport, add responsive constraints, and make important links, buttons, inputs, and controls at least 40px tall and wide where possible.

Copyable agent prompt

## Role
Act as a focused conversion-focused frontend quality remediation expert who can inspect the public page and safely improve the underlying implementation.
## Inputs
- Primary context: Improve astechlabs.co.in at https://www.astechlabs.co.in.
- Scanner check ID: design_rendered_layout.
- Fix title: Fix rendered layout ergonomics.
- Scanner check: Rendered layout ergonomics.
- Category: Design.
- Status: fail.
- Severity: medium.
- Priority: 13; lower numbers are more urgent.
- Score impact: 9 of 9 rule points lost.
- Evidence: Horizontal overflow: 0px. Small tap targets: 5.
- What needs attention: The browser-rendered page has layout or tap-target issues.
- Why it matters: Horizontal overflow and tiny tap targets make the page feel broken on real devices, especially for mobile visitors.
- Status-specific guidance: A public check reported a failure. Reproduce or inspect the issue first, then make the smallest safe fix.
- Audience or recipient: The site owner, builder, or marketing team responsible for improving this public page.
- Constraints, examples, or source material: Treat the live URL as the public target to inspect, not as the only source of truth. When repository, CMS, or hosting access is available, use that implementation context before changing anything.
- Target outcome: After the fix is deployed and the public page is rescanned, this specific check should improve or pass without lowering other SEO / AEO, security, accessibility, or design signals.
- Likely places to inspect: mobile viewport, horizontal overflow sources, tap target sizes, fixed-position elements, menus, forms, and embeds; page layout, responsive CSS, component states, copy hierarchy, CTA placement, spacing tokens, rendered console output, and performance-sensitive assets; the route, template, component, CMS entry, theme file, or static page that renders the scanned URL; shared layout, metadata, routing, middleware, server, CDN, or hosting configuration if the issue is not in page content; existing tests, build scripts, preview commands, and deployment notes before choosing verification steps.
## Task
Use the provided context to safely complete this workflow: Remove elements wider than the viewport, add responsive constraints, and make important links, buttons, inputs, and controls at least 40px tall and wide where possible.
First reproduce or verify the issue from the public page and available implementation source. Then make the smallest stack-appropriate change that fixes the scanner signal and improves the real user experience.
Use this check-specific implementation guide:
- Constrain overflowing elements and increase small important tap targets where possible.
- Preserve layout intent while making the rendered page usable on real devices.
- Improve the actual rendered page at mobile and desktop sizes, not only the source code shape.
- Preserve core conversion flows while making layout, hierarchy, readability, or runtime health better.
- Keep the implementation stack-appropriate: use the existing framework, CMS, hosting provider, design system, and deployment workflow already in the project.
Acceptance criteria for this fix:
- The rendered page has no meaningful horizontal overflow.
- Important links, buttons, inputs, and controls are comfortably tappable.
- The rendered page is visually stable and usable on mobile and desktop viewports.
- The fix does not hide content, break CTAs, introduce console errors, or reduce clarity for visitors.
- A fresh FreeScan rescan should show this check improved or passing after deployment.
## Output
Return a structured response with these headings: Findings, Changes Made, Verification Results, Rescan Expectation, Rollback Notes, Assumptions.
## Rules
- Ask a clarifying question when required context is missing.
- Preserve the user's intent and avoid inventing facts.
- Verify the issue exists before changing code or content. If the issue is not reproducible, explain what you checked and recommend no code change.
- If the live URL and implementation source disagree, trust the implementation source for edits and use the live URL only to understand current public behavior.
- Keep the change narrowly scoped to this fix unless another change is required to avoid a regression.
- Match the existing framework, style, design system, routing patterns, and content conventions.
- Preserve existing URLs, forms, analytics, SEO metadata, accessibility semantics, and conversion flows unless the fix explicitly requires changing them.
- Do not perform broad refactors, dependency upgrades, redesigns, rewrites, migrations, file deletions, route changes, or destructive commands unless they are explicitly required and approved.
- Make changes that are easy to review and roll back.
- Prefer editing the canonical source of the page over patching built output, generated files, CDN-cached HTML, or minified assets.
- Do not make a cosmetic or placeholder change just to satisfy the scanner; the public page should be materially better for visitors, crawlers, or assistive technology.
- Verify the result with the smallest reliable test, build, browser check, or manual inspection available.
## Safety
- Do not request, expose, or reproduce sensitive data.
- Redact private details from examples unless the user explicitly says they are safe to include.
- Do not use credentials, cookies, authenticated data, hidden form values, or private response bodies.
- Do not weaken security headers, authentication, authorization, privacy controls, accessibility, or error handling to make the scan pass.

Page-level AEO readiness

Shared eligibility and content signals that affect every search and answer agent.

100/100 ready

Index and citation eligibility

No general noindex directive was detected.

Snippet and answer controls

No general nosnippet or max-snippet:0 control was detected.

Canonical alignment

The canonical resolves to the scanned public URL.

Sitemap coverage and freshness

The exact URL appears in the fetched sitemap with lastmod 2026-08-06T10:57:42.769Z.

Structured data

Detected 3 JSON-LD block(s), 0 parse error(s), and types ContactPoint, ItemList, ListItem, Organization, PostalAddress, WebSite.

Public or paywalled content

No isAccessibleForFree structured-data value was detected.

Entity clarity

Detected 3 of 3 core identity signals across the title, description, and H1.

Answer-ready visible text

Detected 357 visible words and 4 audience, use-case, pricing, or integration signals.

Authorship and accountability

No author meta value or structured-data author was detected.

Published or updated date

No datePublished or dateModified value was detected in structured data.

Supporting-source links

Detected 2 external source or reference link(s); link quality still requires editorial review.

Rendered content availability

Rendered audit completed with 177 visible text element(s).

Synthetic search-agent reachability

8 of 8 search/discovery User-Agent probes returned reachable content.

Optional LLM-readable summary

No llms.txt file was found; this is optional and does not reduce core AEO readiness.

OpenAIChatGPT search

OAI-SearchBot

PASS · ALLOWED

AI search

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

OpenAIOpenAI model training

GPTBot

POLICY ALLOWED

Model training

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

OpenAIChatGPT user fetches

ChatGPT-User

UNKNOWN

User-requested fetch

Robots: not applicable to user-requested fetches

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AnthropicClaude model training

ClaudeBot

POLICY ALLOWED

Model training

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AnthropicClaude search

Claude-SearchBot

PASS · ALLOWED

AI search

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AnthropicClaude user fetches

Claude-User

PASS · ALLOWED

User-requested fetch

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

GoogleGoogle Search and AI features

Googlebot

PASS · ALLOWED

Search and discovery

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

GoogleGemini data use and grounding

Google-Extended

POLICY ALLOWED

Data-use policy control

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

MicrosoftBing and Copilot

Bingbot

PASS · ALLOWED

Search and discovery

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

PerplexityPerplexity search

PerplexityBot

PASS · ALLOWED

AI search

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

PerplexityPerplexity user fetches

Perplexity-User

UNKNOWN

User-requested fetch

Robots: not applicable to user-requested fetches

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AppleSiri, Spotlight, and Safari search

Applebot

PASS · ALLOWED

Search and discovery

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AppleApple foundation-model training

Applebot-Extended

POLICY ALLOWED

Data-use policy control

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

Mistral AIMistral search

MistralAI-Index

PASS · ALLOWED

AI search

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

Mistral AIMistral user fetches

MistralAI-User

PASS · ALLOWED

User-requested fetch

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

MetaMeta AI model and product data

meta-externalagent

POLICY ALLOWED

Model training

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

MetaMeta AI user fetches

meta-externalfetcher

PASS · ALLOWED

User-requested fetch

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AmazonAmazon model training

Amazonbot

POLICY ALLOWED

Model training

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AmazonAlexa and Rufus search

Amzn-SearchBot

PASS · ALLOWED

AI search

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

AmazonAlexa user fetches

Amzn-User

PASS · ALLOWED

User-requested fetch

Robots: allowed by * allow: / · line 2

Probe: reachable · HTTP 200 · 100% parity

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

Common CrawlOpen web datasets

CCBot

POLICY ALLOWED

Model training

Robots: allowed by * allow: / · line 2

Probe: not tested for this control

IndexSnippetsSitemapPublic content

Vendor documentationDefinition checked 2026-07-30

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astechlabs.co.in website audit report

Ready to share: 98/100 overall, with prioritized fixes for SEO, security, accessibility, and design.

Public report link

Markdown report

# astechlabs.co.in Website Scan

Scanned URL: [https://www.astechlabs.co.in](https://www.astechlabs.co.in)
Report URL: /scan/astechlabs-co-in-98-launch-readiness-report-b1791f3d
Created: 2026-08-06T11:29:25.689Z

## Score Summary

- Overall: 98/100
- SEO / AEO: 100/100
- Security: 100/100
- Accessibility: 100/100
- Design: 92/100

## Launch Readiness

Ready to share (Strong).

Passed: 36. Failed: 1. Unknown: 1.
Strongest area: SEO / AEO. Weakest area: Design.

## AI Crawler Access

These results combine robots.txt policy, page controls, and bounded synthetic User-Agent probes. Synthetic probes do not prove that traffic came from the vendor; training and data-use choices are neutral publisher preferences.

- **OpenAI — ChatGPT search** (OAI-SearchBot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **OpenAI — OpenAI model training** (GPTBot): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **OpenAI — ChatGPT user fetches** (ChatGPT-User): UNKNOWN — robots not_applicable; synthetic probe not_tested. ChatGPT-User is used for user-requested retrieval, so robots.txt is not treated as a reliable access control for this row. No synthetic fetch is appropriate for this policy or training control.
- **Anthropic — Claude model training** (ClaudeBot): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **Anthropic — Claude search** (Claude-SearchBot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Anthropic — Claude user fetches** (Claude-User): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Google — Google Search and AI features** (Googlebot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Google — Gemini data use and grounding** (Google-Extended): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **Microsoft — Bing and Copilot** (Bingbot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Perplexity — Perplexity search** (PerplexityBot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Perplexity — Perplexity user fetches** (Perplexity-User): UNKNOWN — robots not_applicable; synthetic probe not_tested. Perplexity-User is used for user-requested retrieval, so robots.txt is not treated as a reliable access control for this row. No synthetic fetch is appropriate for this policy or training control.
- **Apple — Siri, Spotlight, and Safari search** (Applebot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Apple — Apple foundation-model training** (Applebot-Extended): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **Mistral AI — Mistral search** (MistralAI-Index): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Mistral AI — Mistral user fetches** (MistralAI-User): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Meta — Meta AI model and product data** (meta-externalagent): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **Meta — Meta AI user fetches** (meta-externalfetcher): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Amazon — Amazon model training** (Amazonbot): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.
- **Amazon — Alexa and Rufus search** (Amzn-SearchBot): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Amazon — Alexa user fetches** (Amzn-User): PASS — robots allowed; synthetic probe reachable (HTTP 200). Allowed by * allow: / on line 2. Synthetic User-Agent probe returned HTTP 200 with 100% sampled-content parity.
- **Common Crawl — Open web datasets** (CCBot): PREFERENCE — robots allowed; synthetic probe not_tested. Allowed by * allow: / on line 2. No synthetic fetch is appropriate for this policy or training control.

## Page-level AEO Readiness

Readiness: 100/100

- **Index and citation eligibility**: PASS — No general noindex directive was detected.
- **Snippet and answer controls**: PASS — No general nosnippet or max-snippet:0 control was detected.
- **Canonical alignment**: PASS — The canonical resolves to the scanned public URL.
- **Sitemap coverage and freshness**: PASS — The exact URL appears in the fetched sitemap with lastmod 2026-08-06T10:57:42.769Z.
- **Structured data**: PASS — Detected 3 JSON-LD block(s), 0 parse error(s), and types ContactPoint, ItemList, ListItem, Organization, PostalAddress, WebSite.
- **Public or paywalled content**: UNKNOWN — No isAccessibleForFree structured-data value was detected.
- **Entity clarity**: PASS — Detected 3 of 3 core identity signals across the title, description, and H1.
- **Answer-ready visible text**: PASS — Detected 357 visible words and 4 audience, use-case, pricing, or integration signals.
- **Authorship and accountability**: UNKNOWN — No author meta value or structured-data author was detected.
- **Published or updated date**: UNKNOWN — No datePublished or dateModified value was detected in structured data.
- **Supporting-source links**: PASS — Detected 2 external source or reference link(s); link quality still requires editorial review.
- **Rendered content availability**: PASS — Rendered audit completed with 177 visible text element(s).
- **Synthetic search-agent reachability**: PASS — 8 of 8 search/discovery User-Agent probes returned reachable content.
- **Optional LLM-readable summary**: INFO — No llms.txt file was found; this is optional and does not reduce core AEO readiness.

## Prioritized Fixes

### 1. Fix rendered layout ergonomics

- Category: Design
- Status: fail
- Severity: medium
- Rule points lost: 9
- Evidence: Horizontal overflow: 0px. Small tap targets: 5.
- Why it matters: Horizontal overflow and tiny tap targets make the page feel broken on real devices, especially for mobile visitors.
- Fix: Remove elements wider than the viewport, add responsive constraints, and make important links, buttons, inputs, and controls at least 40px tall and wide where possible.

### 2. Add an LLM-readable product file

- Category: SEO / AEO
- Status: unknown
- Severity: info
- Rule points lost: 0
- Evidence: No llms.txt or .well-known/llms.txt was found. This optional file does not determine AI-search eligibility.
- Why it matters: A short LLM-readable file can help answer engines and AI tools summarize your product accurately.
- Fix: Add /llms.txt or /.well-known/llms.txt with the product name, audience, value proposition, and key public links.

## Opportunities

### Add answer-ready sections for common buyer questions

- Impact: high
- Category: SEO / AEO
- Evidence: Pricing signals: 0. Use-case signals: 0. Integration/API signals: 2.
- Why it matters: Answer engines and search visitors need concise textual answers to summarize who the product is for, how it works, what it costs, and what it connects with.
- Next step: Add short, crawlable sections for pricing or plans, ideal users, use cases, integrations, security, and how the product differs from alternatives.

### Make trust and proof easier to detect

- Impact: medium
- Category: Design
- Evidence: Detected 1 trust-signal keyword occurrence(s).
- Why it matters: Visitors who arrive cold from search, social, or AI citations need proof before they submit a form, start a trial, or buy.
- Next step: Add honest proof such as customer quotes, recognizable logos, security notes, usage stats, reviews, case studies, or founder credibility.

### Add an optional LLM-readable site summary

- Impact: low
- Category: SEO / AEO
- Evidence: HTTP 404 returned for llms_txt.
- Why it matters: This is not required for Google AI features, but a concise public markdown summary can help AI agents and internal tools understand key pages.
- Next step: Publish a short llms.txt with product facts, audience, key public links, docs, pricing, support, and usage boundaries.

### Review snippet and preview controls

- Impact: low
- Category: SEO / AEO
- Evidence: Open Graph image was detected. Preview controls detected: 0.
- Why it matters: Preview controls can clarify how much text, image, and video content search systems may show from the page.
- Next step: Only add robots preview controls when you intentionally want to limit snippets or image/video previews; otherwise leave previews open.

### Polish rendered responsive ergonomics

- Impact: medium
- Category: Design
- Evidence: Horizontal overflow: 0px. Small tap targets: 5.
- Why it matters: Overflow and tiny controls are easy for static scans to miss but obvious to real users, especially on mobile and tablet layouts.
- Next step: Constrain wide elements, avoid fixed-width content that exceeds the viewport, and increase touch target sizes for interactive controls.

### Measure search performance with first-party data

- Impact: medium
- Category: SEO / AEO
- Evidence: robots.txt and a sitemap were reachable, so the site has the basics needed for Search Console verification and monitoring.
- Why it matters: A scan can identify technical readiness, but Search Console and analytics reveal impressions, queries, clicks, pages, and conversions over time.
- Next step: Verify the domain in Search Console, submit the sitemap, and pair query/page data with analytics events for signups, demo requests, and purchases.

## Insights

### The page appears basically crawlable

- Category: SEO / AEO
- Evidence: HTTP 200. robots.txt: HTTP 200. sitemap.xml: HTTP 200. noindex check: clear.
- Interpretation: The public page satisfies the basic crawl/index path the scan can verify.
- Recommended use: Use this as the first launch gate before deeper content, ranking, or AI visibility work.

### AEO depends on normal SEO plus answerable text

- Category: SEO / AEO
- Evidence: Visible words: 357. H1 count: 1. Audience signals: 2. CTA labels: Start a project, Start a project, Start a project, Start a conversation.
- Interpretation: Google AI features currently rely on standard Search eligibility; the extra advantage comes from content that is easy to quote, summarize, and verify.
- Recommended use: Prioritize clear text answers, crawlable support pages, accurate schema, and visible proof over speculative AI-only markup.

### Detected entity signals

- Category: SEO / AEO
- Evidence: Title: A S Tech Labs — Software & IT Consultancy. H1: Software,   thoughtfully    built.. Schema types: ContactPoint, ItemList, ListItem, Organization, PostalAddress, WebSite.
- Interpretation: The stronger and more consistent these entity signals are, the easier it is for search and answer systems to identify the brand, product category, and page purpose.
- Recommended use: Keep the title, H1, meta description, Open Graph, schema, footer, and about/pricing/docs pages aligned around the same product facts.

### Structured data is present

- Category: SEO / AEO
- Evidence: JSON-LD blocks: 3. Types: ContactPoint, ItemList, ListItem, Organization, PostalAddress, WebSite. Parse errors: 0.
- Interpretation: The page exposes machine-readable facts, but quality still depends on whether those facts match visible content.
- Recommended use: Validate JSON-LD and use only accurate facts that are visible or clearly supported on the public page.

### Weakest score area

- Category: Design
- Evidence: SEO / AEO: 100/100. Security: 100/100. Accessibility: 100/100. Design: 92/100
- Interpretation: The weakest area is Design, so improvements there should have the most visible effect on readiness.
- Recommended use: Use the score mix to choose the next workstream instead of treating every issue as equally urgent.

### LLM-readable file not found

- Category: SEO / AEO
- Evidence: HTTP 404 returned for llms_txt.
- Interpretation: llms.txt can be a useful optional summary for agents, but it should not be treated as a guaranteed AI search ranking factor.
- Recommended use: Invest first in crawlability, helpful visible content, internal links, and accurate schema; add llms.txt as a tidy supplement.

### Rendered page experience snapshot

- Category: Design
- Evidence: Rendered text samples: 100. Contrast failures: 0. Console errors: 0. Horizontal overflow: 0px.
- Interpretation: The scan inspected the browser-rendered page, so contrast, runtime, layout, and timing signals are more representative than static markup alone.
- Recommended use: Use rendered checks to prioritize issues that visitors actually experience after JavaScript and CSS load.

### Rendered speed snapshot

- Category: Design
- Evidence: DOMContentLoaded: 433ms. Load complete: 665ms. First contentful paint: 632ms. Resources: 34. Scripts: 15. Images: 0. Third-party origins: 0. Transfer: not available.
- Interpretation: These are lightweight browser timings from one rendered scan, so they are useful directional signals rather than real-user performance proof.
- Recommended use: Use slow timings, high script counts, heavy transfer size, and many third-party origins to choose focused speed work, then verify important changes with analytics or field data when available.

### Rendered axe accessibility snapshot

- Category: Accessibility
- Evidence: axe violations: 0. Critical: 0. Serious: 0. Top rules: none.
- Interpretation: axe-core catches common accessibility failures in the actual rendered DOM, but it is still automated coverage and not a full manual accessibility audit.
- Recommended use: Treat critical and serious axe failures as high-priority fixes, then manually review keyboard flow, focus states, screen reader meaning, and interaction states.

## Scope

FreeScan.app performs safe public checks only. It is not a penetration test, full SEO engagement, full accessibility audit, WCAG certification, backlink audit, rank tracker, or analytics platform.

Public reports expose the scanned public URL, safe scores, sanitized public evidence, and fix guidance. They do not include credentials, cookies, hidden form values, or sensitive response bodies.

Rescan same URL

Rerun the full deterministic scanner for astechlabs.co.in without re-entering the URL. The previous report stays saved so the next result can be compared against it.

Website audit scorecard for astechlabs.co.in

Fix rendered layout ergonomics

Copyable agent prompt

Add an LLM-readable product file

Copyable agent prompt

SEO / AEO

Security

Accessibility

Design

Rendered layout ergonomics

Failed checks

Rendered layout ergonomics

Copyable agent prompt

AI crawler accessMajor AI search, user-fetch, and data-use agents checked for /, with robots evidence, synthetic reachability, and page-level AEO controls.12 pass0 fail2 unknown7 preferences

Unknown and not detected statesFreeScan.app keeps partial public data explicit. It marks unverifiable signals as unknown or not detected instead of inventing evidence.

Safe fetch metadataPublic headers and redirects captured during intake. Response bodies, cookies, and credentials are not stored.

Website audit scorecard for astechlabs.co.in

Fix rendered layout ergonomics

Copyable agent prompt

Add an LLM-readable product file

Copyable agent prompt

SEO / AEO

Security

Accessibility

Design

Rendered layout ergonomics

Failed checks

Rendered layout ergonomics

Copyable agent prompt

AI crawler accessMajor AI search, user-fetch, and data-use agents checked for /, with robots evidence, synthetic reachability, and page-level AEO controls.12 pass0 fail2 unknown7 preferences

Unknown and not detected statesFreeScan.app keeps partial public data explicit. It marks unverifiable signals as unknown or not detected instead of inventing evidence.

Safe fetch metadataPublic headers and redirects captured during intake. Response bodies, cookies, and credentials are not stored.