AI visibility audit: a practical checklist

An AI visibility audit checks whether search and answer engines can access your site, understand your business, cite your pages, and state your facts correctly. Start with a fixed set of buyer questions. Save repeated answers from ChatGPT, Claude, Google AI, and Microsoft Copilot. Then compare answer frequency, cited sources, factual accuracy, and qualified visits.

Do not turn one answer into a ranking claim. AI answers can change by surface, location, date, and phrasing. Record the conditions, repeat the same prompts, and report an appearance rate instead of a permanent position.

A useful audit produces a short evidence file and a prioritized repair list. It does not stop at a single visibility score. The score shows where to look. Saved answers, crawl checks, cited pages, and analytics show what to change.

1. Define the audit before you search

Write the question set once. Do not change prompts after seeing an unfavorable answer. Use questions that match real decisions: which provider fits, what a service costs, how two options differ, who serves a location, and whether a product supports a required feature.

• —Discovery: Which companies solve this problem for this buyer?
• —Comparison: What are the best alternatives to a known option?
• —Fit: Which provider works for this size, location, or constraint?
• —Branded fact check: What does the company offer, charge, or support?
• —Trust check: What evidence supports the recommendation?

2. Check whether each engine can reach you

A page cannot become a reliable source when the engine cannot fetch or index it. Review robots.txt, page-level robots directives, response codes, canonical tags, XML sitemaps, crawlable internal links, and the rendered text. Test important pages on mobile and without a logged-in session.

Crawler controls are not interchangeable. OpenAI documents OAI-SearchBot for ChatGPT search. Anthropic documents Claude-SearchBot for search discovery and Claude-User for user-requested retrieval. Google and Bing tie AI visibility to their search indexes. Allow or block each crawler according to your policy, then record the decision.

3. Score answers without inventing a rank

Run every valid prompt the same number of times. Divide answers that name your business by completed answers. Report that appearance rate by question and engine. Keep failed runs separate. A citation is another measure, not proof that the answer recommends you.

• —Appearance rate: answers that name the business divided by completed answers.
• —Owned citation rate: answers citing your domain divided by completed answers.
• —Source coverage: unique relevant domains cited across the saved answers.
• —Fact accuracy: checked claims that match the current primary source.
• —Referral outcome: visits and useful actions from identifiable AI sources.

4. Trace every important fact to a source

Create a fact ledger for your name, category, audience, offer, location, price, availability, and proof. Name the primary page that owns each fact. Then check whether key third-party profiles repeat it accurately. Fix contradictions at their source instead of adding more copy everywhere.

Review the pages that engines cite for your questions, even when they cite competitors. Look for evidence patterns you genuinely lack: first-hand tests, complete comparisons, current pricing, expert detail, local facts, or independent reviews. Build only evidence you can support.

5. Inspect pages for answer readiness

The best repair page answers one complete buyer task. Put the direct answer in visible text. Use descriptive headings, short sections, accurate dates, and source links beside the claims they support. Add structured data only when it describes visible content. No schema type or AI-only file guarantees a citation.

For a recurring audit and repair program built around local discovery, reviews, directories, search, and answer engines, see Tin GEO for small businesses.

6. Use first-party reports where they exist

Google Search Console reports generative AI visibility for Google Search. Bing Webmaster Tools reports citations, cited pages, and grounding queries across supported AI experiences. OpenAI adds utm_source=chatgpt.com to ChatGPT referral URLs. Compare these records with your saved answer tests and useful on-site actions.

Keep observation and cause separate. A visibility change may follow your edit, a demand change, a crawl, or a model update. Record the edit date and measurement window. Do not claim that one change caused movement without a controlled test or stronger evidence.

What not to call an audit

• —One answer from one engine with no saved prompt or date.
• —A single score with no cited pages, factual checks, or repair list.
• —A ranking claim that ignores answer variation and failed runs.
• —A crawler checklist that never tests the important page itself.
• —A long list of generic content ideas with no buyer question attached.

Primary sources