AI Visibility Audit

What You Get

  • Schema and JSON-LD audit (what is present, what is missing, what is incorrect)
  • Entity architecture review (how AI systems identify what your site is about)
  • AI endpoint review (llms.txt, llm.json, ai-sitemap.json, entity-map.json)
  • Content architecture analysis (structure, topic clustering, internal linking)
  • Machine-readable layer assessment (structured data completeness and accuracy)
  • Prioritized action plan with specific implementation steps

This Is Right For You If

  • Website owners preparing for AI-first search visibility
  • SEO professionals adding AI readiness to their practice
  • Developers building or auditing AI-ready sites
  • Businesses needing a baseline before implementing structured data at scale

What the Audit Covers

The AI Visibility Audit reviews every layer that determines how AI systems discover, read, and interpret your website: schema markup, entity structure, machine-readable endpoints, content architecture, and internal linking. It is the same set of signals AI crawlers and answer engines actually check before deciding whether to retrieve, cite, or reuse a page.

What an AI Visibility Audit Actually Is

An AI visibility audit is a structured review of how retrievable and citable a website is to AI systems, distinct from a traditional SEO audit, which focuses on rankings and keywords. It looks at whether a site's meaning is explicit (schema markup, entity naming), whether AI agents can find its structure quickly (llms.txt, an AI sitemap, a manifest file), and whether its content is organized in a way that is easy for a model to extract and reuse accurately.

Questions

What is an AI visibility audit?
An AI visibility audit is a structured review of how well an AI system can discover, read, and cite a website: its schema markup, entity structure, machine-readable endpoints, and content architecture. It differs from a traditional SEO audit by focusing on retrievability by AI systems, not keyword rankings.
What does an AI visibility audit include?
A full schema and JSON-LD audit, an entity architecture review, an AI endpoint review (llms.txt, llm.json, ai-sitemap.json, entity-map.json), a content architecture analysis, a structured data completeness check, and a prioritized action plan.
How much does an AI visibility audit cost?
Pricing depends on site size and complexity. Request an audit for a scoped quote based on your site.
How long does the AI Visibility Audit take?
Most audits are completed within 5 to 7 business days depending on site complexity.
What do I need to provide?
Your website URL and access to any analytics or Search Console data you are comfortable sharing. No CMS access required.
Is this only for large sites?
No. The audit scales to any site size. Smaller sites often benefit most because gaps are easier to close with clear direction.
What questions should I ask before buying an AI visibility audit?
Ask what specific signals are checked (schema, entities, endpoints, content structure), whether you receive a prioritized action plan or just a diagnostic report, and whether the findings are specific to your site or a generic checklist.

Further Reading

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