Enter your domain and get a colour-coded map of every page on your site — green for pages with strong AI citation potential, red for pages likely to be overlooked by AI engines, with a specific actionable fix for each one.
Your Google rankings tell you which pages people find. Your AI citation rate tells you which pages AI engines trust enough to quote. These are different lists — and in most sites we've scanned, the overlap is smaller than marketers expect.
A blog post can rank position two in Google for a competitive keyword and simultaneously have zero AI citations for the same query. The reason is structural: Google rewards authority and backlinks; AI engines reward content that directly answers a question in its first two sentences, has clean schema markup, and sits on a domain with consistent E-E-A-T signals.
The heatmap shows both dimensions together. You'll see your highest-traffic pages sitting in the red zone — great for SEO, invisible to AI — and you'll see exactly what to fix on each one. Most fixes take under an hour per page: a BLUF rewrite of the opening paragraph, a FAQPage schema block, or a single author byline addition.
AI engines like Perplexity now handle billions of queries per month in commercial and research categories. A brand that appears in those answers converts at a meaningfully different rate than one that doesn't. The heatmap is the starting point for knowing which pages on your site are winning that coverage and which aren't.
AI engines don't discover your pages the same way Google does. Understanding the difference tells you exactly why some pages appear in AI answers and others don't — even when both are well-ranked in search.