Tool guide
An AI SEO audit combines traditional SEO foundations with the semantic and trust signals answer engines need to use your page.
Run an AI SEO auditKeywords still matter, but they are not enough. AI search needs direct answers, entity consistency, structured data, authorship, and credible supporting sources. A strong AI SEO page reads like a useful reference, not just a page written for rankings.
Fix HTTPS, canonical, noindex, robots, and server-rendered content first. Then improve H1/H2 structure, FAQ, lists, tables, schema, and brand consistency. Finally add examples, data points, external references, and author or organization details.
Developers can handle render, schema, robots, and performance issues. Content teams can rewrite passages and FAQs. Operators can improve about, contact, and external entity references. The audit makes the handoff explicit.
HTTPS, canonical, noindex, and robots basics
Whether the topic is consistent across title, meta, H1, and intro
Whether the page includes FAQ, definitions, steps, data points, and citations
Whether schema appears in initial HTML and matches page content
Whether brand entity signals are consistent across title, body, schema, and external references
No. AI SEO builds on crawlable, indexable, trustworthy SEO foundations and adds structure that makes pages easier for AI systems to use.
Yes. New sites benefit from establishing schema, hierarchy, and entity consistency before content grows.