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
- AI Search Visibility Checker (free self-serve tool) AISymantix.com, the Visibility Workbench
- Digital Karma Scoring Methodology DigitalKarmaWeb.com, the seven public signals behind AI-readiness scoring