An AI search visibility audit evaluates a website against the specific signals that AI answer engines use to decide what to cite. It is distinct from a traditional SEO audit — while there is overlap, the AI visibility audit specifically examines structured data coverage, topical authority depth, content extractability, and entity definition.
Structured Data Audit
Use Google's Rich Results Test to check every significant page type for structured data: blog articles (Article schema?), service pages (Service and Organization schema?), FAQ sections (FAQPage schema?), how-to content (HowTo schema?). Document what is present and what is missing. Missing structured data on high-value pages is the most common and most immediately fixable AI visibility gap.
Topical Authority Audit
For each primary topic the site covers, count the number of articles addressing that topic. Are there 5 articles or 30? Is each article addressing a distinct specific question, or covering the same general topic with slight variation? Map the existing content against the full question inventory for the topic domain. The gaps in coverage are the GEO opportunities.
Content Extractability Audit
Sample 10 articles from the existing blog. For each: does it have question-based H2 headings? Does the direct answer appear in the first sentence after each heading? Does it have a FAQ section with FAQPage schema? These three checks reveal the extractability gaps that AEO retrofitting addresses.
AI Citation Check
Run 10 target queries across ChatGPT, Perplexity, and Google. Document which sources are cited. Note which competitors appear. The gap between where competitors appear and where the audited site appears defines the competitive opportunity. The Omni AEO audit service delivers all four audit components with prioritized recommendations.