SEO & AI Visibility audit: the technical foundations that get your page cited
SEO and AI Visibility share the same plumbing. Structured data, semantic HTML, crawlable architecture and entity clarity are what decide whether ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews can find, understand and cite your page by name.
What we score in your SEO layer
- Title, meta description, canonical and hreflang
- Schema.org markup: Organization, Product, Article, FAQ, HowTo
- Heading hierarchy and entity-rich content
- Internal linking depth and anchor relevance
- Image SEO: alt text, file naming, lazy loading
- Crawlability: robots.txt, sitemap, JS-rendered vs static content
What we score in your AI Visibility layer
- Brand entity clarity — is your name unambiguously tied to your domain?
- Quotable content: definitions, lists, structured answers
- E-E-A-T markers (author bios, citations, dates, credentials)
- llms.txt presence and AI-crawler accessibility (GPTBot, ClaudeBot, PerplexityBot, Google-Extended)
- Structured-data coverage gaps that block AI citation
FAQ
What's the difference between SEO and AI Visibility?
SEO gets you ranked in classical search results. AI Visibility gets you cited inside AI-generated answers. The technical foundations overlap heavily — schema, semantic HTML, entity clarity — but AI Visibility adds extra demands like llms.txt and explicit AI-crawler permissions.
Do I need a separate llms.txt file?
It's not required, but it helps. llms.txt is becoming the equivalent of robots.txt for AI engines, letting you signal which content they can use.
What's the highest-impact SEO fix for AI visibility?
Adding Organization schema with sameAs links to your verified social profiles. It binds your brand entity unambiguously to your domain.