AI engines do not use a single ranking signal. They blend at least six different ones to decide whether to quote a source. This free AI visibility tool scores your page on each, returns a verdict, and gives you a specific fix for every dimension below 70.
Use it before an AI search optimisation review, after a content refresh, or alongside the AI Schema Validator when you need a quick baseline.
This is a structural readiness score, not a live citation count. We score the signals AI engines look for - we do not poll ChatGPT / Perplexity / Gemini to count your real citations. For that, run the test queries below in each engine manually.
Run a check to see the score.
Run these in ChatGPT search, Perplexity and Google AI Mode. If your domain does not appear in any citations, your score above is the reason why.
Visibility scoring tracks behaviour across
6 dimensions calibrated against documented ranking behaviour for the AI search engines below. Different engines weight things differently - the scoring is the average of what they all care about.
ChatGPT
Claude
Perplexity
Gemini
Copilot
Llama
Grok
Mistral
DeepSeek
Whether AI engines can recognise the page's underlying entity. Checks for Organization / Person schema, sameAs links to LinkedIn / Companies House / Wikidata, identifiers and logos. Without this, the engine has no entity to map citations against.
How many distinct schema.org types are present and whether they cover the page's actual content. AI engines extract from schema first, content second.
Whether the content is chunked into AI-friendly sections (150-280 words per H2 sweet spot), and whether tables / figures / structured elements are present that AI engines disproportionately quote.
How recently the page was meaningfully updated. Industry analysis (PromptAlpha, Ziptie, Goodie AI) reports freshness drives 30 to 40 percent of Perplexity ranking and that content updated within 30 days gets 2 to 3x more AI citations than year-old content.
Whether the page has a named, verifiable author. Industry research (GEO Alliance, PresenceAI) reports a 2 to 3x Perplexity citation rate for named-expert authored content vs anonymous.
Structures AI engines are biased toward quoting: comparison tables, blockquoted stats, FAQ blocks, speakable specifications. The more of these per major section, the higher the citation rate.
A 6-dimension score points at the gaps. Closing them takes coordinated work across schema, content, authority and citations - that's the work I do.
Run real buyer prompts, compare named competitors, trace cited sources and turn the gaps into a prioritised plan.
See the paid audit AI Search OptimisationFix crawl access, entity clarity, answer blocks, schema, off-site citation paths and prompt tracking so AI engines can find and cite the right pages.
See AI Search Optimisation GEO ConsultingEntity setup, schema enrichment, content restructure around answer chunks, citation seeding, named-author E-E-A-T build-out. The full GEO programme that closes every one of the six dimensions in this score.
See the GEO service AI ConsultingFor teams where AI search visibility is one piece of a broader AI plan covering internal workflows, content production and AI-led marketing decisions.
See AI Consulting Digital StrategyIf poor AI visibility is hurting pipeline and brand mentions, the fix is not just SEO - it ties into PR, content, partnerships and product positioning. Strategy work that joins those threads up.
See Digital StrategyThis page scores citation readiness on one URL. Paid AI visibility tools track brand mentions, citations, competitors and answer coverage across repeated prompts. If you need that broader monitoring layer, I keep a current UK comparison of the main options.
The tool tells you where the gaps are. Closing them usually means coordinated work across content, schema, authority and citation tracking, not a quick patch.