Direct answer
What this audit tells you
AI-search readiness begins with normal search eligibility: a reachable indexable page, clear visible answers, consistent entity information, useful internal links, and accurate structured data. FreeScan reports those verifiable prerequisites without promising citations or treating optional files as ranking factors.
What you receive
One report, three practical outcomes
Crawler readiness
Review robots policy, page controls, canonicalization, public status, and bounded synthetic crawler requests.
Answerable content
Inspect whether headings and visible text make the page subject, audience, offer, and next step understandable.
Evidence consistency
Compare visible claims with metadata, structured data, authorship, freshness, and supporting links.
Workflow
Use the evidence before changing the website
Step 1
Establish search eligibility
Resolve crawl, index, status, and canonical defects before adding AI-specific terminology or files.
Step 2
Write direct visible answers
Give people concise, crawlable explanations of the product, audience, pricing, use cases, and limitations.
Step 3
Keep machine signals honest
Use schema and optional llms.txt summaries only when they match visible, supportable public facts.
Methodology
Review the checks behind this audit
Related audits
Follow the subject-specific path
Limits
What this public audit does not claim
- The audit cannot observe private answer-engine indexes, prompts, citations, or training use.
- Google states that normal Search requirements continue to apply to its AI search experiences.
- llms.txt is treated as optional context and is not presented as a Google ranking requirement.
Check the current public page
Run the deterministic scan, inspect the evidence, and keep the existing page unchanged until a finding is reproduced.
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