AIwebsite audit
Search is changing. More buyers now discover brands through AI assistants and answer engines such as ChatGPT, Google AI Overviews, Gemini, Claude and Perplexity than through a page of blue links. An AI website audit tells you what those systems currently say about your business, and why they say it.
What the AI website audit examines
We measure how often your brand appears in AI-generated answers, which products, services and topics the models associate with you, and how that compares with the competitors being recommended instead. We then work backwards to the causes: content structure, entity and schema markup, crawler access, thin or contradictory pages, and the third-party sources these systems tend to quote.
Why AI answers differ from your rankings
A page can rank well and still never be cited. Models favour content they can parse into claims: clear headings, specific figures, consistent naming and corroboration somewhere other than your own domain. The audit separates the pages that already work this way from those that read well to a human but give a model nothing quotable.
What you receive
A report with prioritised, concrete recommendations rather than general advice, mapped to the pages and templates that need changing first. Google’s guidance on creating helpful content still underpins most of it, because the same signals feed both AI answers and classic results.
Audit, monitoring or implementation
The AI website audit is the one-off diagnostic. If you want the position tracked continuously afterwards, that is LLM visibility monitoring. If you want the fixes implemented, that is website optimization for AI services. Ecommerce catalogues usually need an agentic commerce readiness audit alongside it.
