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Can search and AI read your website at all?
Can search engines and AI systems access and process the website?
Does the website clearly identify the company, its services, content, and relationships?
Is the language specific enough for systems to understand what the company does and who it is for?
Does the website contain information that can be extracted, referenced, and reused in an answer?
Are there enough independent public signals to support and verify the company's claims?
Before a brand can be cited or recommended, systems need enough public information to identify it and place it. This check examines those foundations.
This is a readiness check, not live AI mention tracking. It does not follow prompts or mentions on ChatGPT, Gemini, or Perplexity — it evaluates the public foundations those systems rely on.
Enter your website URL, run the check, and open your report — five scored signals, supporting evidence, and first priorities.
AI visibility describes whether AI assistants and AI-powered search can find, understand, and reuse information about a brand. It begins with the public foundations on a website — not with prompt tracking or mention counting.
AI search readiness is the degree to which a website's public structure and language let AI and search systems access, parse, and reuse its information. The AI Search Readiness Check evaluates five machine-facing signals that shape this.
Visibility is the outcome — being surfaced, cited, or recommended. Readiness is the foundation that makes visibility possible. This tool measures readiness: whether the underlying signals are in place, before any single prompt or platform is considered.
Accessible technical foundations, structured data that identifies the company and its offer, specific language, citable content, and independent external signals that corroborate the brand's claims.
No. This is a readiness check, not live AI mention tracking. It does not claim to measure every prompt, mention, or citation across ChatGPT, Gemini, Perplexity, or other platforms. It evaluates the public foundations that influence whether those systems can access, understand, and reuse information about the brand.
The free check ends with a readiness snapshot of the website's machine-facing foundations — five scored signals and first priorities. The Brand Read, the paid full report, extends the analysis to fifteen public signals across the Machine, Market, and Meaning layers.
SEO shapes how traditional search engines index a site; GEO (generative engine optimisation) shapes how AI systems retrieve and reuse it. AI search readiness is the common foundation both depend on — the structural and semantic signals that make a brand legible to machines.
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