Free tools AI Visibility Audit

For sites worried about AI search

How well does your site show up in AI?

ChatGPT, Perplexity, Google AI Overviews, and Claude all answer questions by reading the web. If your site is not structured for them, your competitors get cited and you do not. This audit scores your AI visibility against eight technical and content signals, then ranks the fixes by effort.

  • 3 minutes to fill out
  • Honest heuristic, no fake site scan
  • Conservative scoring

Audit

Score your site against eight signals.

Check the boxes for what your site already has. The score updates as you check. Nothing leaves your browser.

Used only for the report header. We do not fetch or scan the URL. This audit is heuristic, not crawler-based.

Structured data and crawler signals

AI engines need machine-readable signals to understand who you are and what you do.

Content signals (what AI engines actually read)

Even with perfect technical setup, AI engines only cite content they can extract and use cleanly.

Technical health

Slow or broken pages are filtered out before AI engines ever read them.

Why this matters now

AI search is already a meaningful share of how decisions get made.

Buyers, procurement officers, and analysts are using ChatGPT, Perplexity, and Google AI Overviews to shortlist vendors before they ever land on your site. If you do not show up in those answers, you do not get the chance to make your pitch.

Buyer behavior shift

People ask, then click.

The first interaction is now a question to an AI. The website visit is a verification step, not a discovery step. Sites optimized only for keyword search miss the first round.

Citation economy

AI rewards specificity.

Generic copy gets paraphrased without attribution. Specific claims, structured comparisons, named methodologies, and dated case studies get cited with a link.

Compounding gap

Late starters fall further behind.

AI engines cite sources they have already cited successfully. Sites with early structured-data adoption build a citation moat. The gap widens with every model update.

Methodology

How the score works.

This is a heuristic checklist, not a real audit. We do not fetch your URL or scrape your site. The score reflects what you tell us about your current setup, weighted by how much each signal moves the needle in real AI engine behavior.

  • JSON-LD schemas (14 points). Organization, Article, FAQ, WebSite schemas. Highest weight because they directly tell AI engines who you are and what each page is about.
  • Content depth (14 points). Top pages with 600+ words of substantive content. AI engines deprioritize thin pages even if they are well-structured.
  • Citation-friendly structure (12 points). Lists, definitions, tables. Easier to extract = more likely to be cited.
  • llms.txt and crawler access (10 + 10 points). If your robots.txt blocks AI crawlers or you have no llms.txt, AI engines cannot cite you regardless of content quality.
  • E-E-A-T, entity clarity, internal linking, Core Web Vitals (10 each). Each is a meaningful boost.

Maximum score is 100. We classify 80+ as Strong, 60–79 as Improving, 40–59 as At risk, and below 40 as Invisible. The classification thresholds are conservative, so a Strong score means you are reliably citable, not that you are dominating.

What this audit does not measure: actual citation frequency in AI engines, your share of voice on key topics, the quality of the AI summaries that mention you. Those need a real crawler-based audit and ongoing monitoring.

Want a real audit, not a checklist?

The deeper version fetches your site, validates your schema, checks live AI engine results for queries you care about, and identifies the specific pages losing citations to competitors. 60 minutes, includes a written report.

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