Crawler access
robots.txt, sitemap discovery, response accessibility and whether important content is available to machine clients.
Visible2 Knowledge Center
AI Visibility Audit
An AI visibility audit is a structured assessment of the technical, entity, content and corroboration signals that affect whether AI systems can understand and surface a business.
What is an AI Visibility Audit?
An AI visibility audit is a structured assessment of the technical, entity, content and corroboration signals that affect whether AI systems can understand and surface a business.
A useful audit should identify evidence, distinguish readiness from observed visibility, and prioritize changes by likely impact. It should not promise that adding one file, schema block or keyword will force an AI recommendation.
What an AI visibility audit should examine
Entity definition
A stable business name, organization data, services, people, location and consistent machine-readable relationships.
Content clarity
Clear descriptions and direct answers to high-intent questions rather than vague marketing copy.
Corroboration
External profiles, mentions and sources that support the business identity.
Measurement
If the audit claims to measure actual visibility, it should test assistants repeatedly and disclose the method.
Free scan vs professional audit
Visible2’s free scan is an automated readiness audit: it identifies foundational website issues and gives the full findings. A deeper engagement adds commercial context, competitor analysis, prompt testing and implementation priorities.
What a good audit should not do
It should not turn every missing optional signal into a defect, recommend duplicate schema, or reward content padding. Recommendations should follow the evidence found on the specific site.
A credible audit separates what it can prove from what it cannot
A website audit can prove
What the crawler receives, whether entity data is complete, whether names conflict, whether relevant crawlers are blocked, whether page metadata exists and whether questions are answered clearly.
A website audit cannot prove
That ChatGPT recommends you, that Google AI Mode selects you, or that a competitor has lower share of voice. Those are observed outcomes and need repeated live testing.
How to judge an AI visibility audit
- Every finding should show evidence. A score without the underlying check is not diagnostic.
- Passes should be visible. Otherwise the tool can keep recommending work that is already done.
- Recommendations should be conditional. A report should never advise installing Organization schema after marking Organization schema complete.
- Freshness should be explicit. A rescan after a change must say whether the source was fetched again.
- Readiness and visibility should be separate products or metrics. They answer different questions.
What should I do next?
Start with evidence. Run the free Visible2 scan to check whether the website foundations are in place. If the site is ready, move to repeated measurement of the buyer questions that matter rather than making speculative changes.
Related evidence
Go deeper on this topic
Supporting guides, case studies and measurement notes from the Visible2 Knowledge Center.
AI visibility checker: what a good one should actually test
A score is only useful if you can see the evidence, the method and what the tool did not measure.
The ChatGPT answer you saw about your business was probably wrong
Not because ChatGPT is unreliable. Because you looked once.
AI visibility case study: how RaceX moved from 63 to 94
A transparent remediation example from one of our own ventures, including what changed and what the score still did not prove.
See what AI can understand about your business
Run the free scan and get the complete findings.