Enter any URL to get real Core Web Vitals data from Google PageSpeed Insights — then see exactly how your load performance affects citation rates across ChatGPT, Perplexity, Gemini, and Claude.
This tool pulls live data from Google's PageSpeed Insights API — the same data source Google uses internally — then maps each metric against known AEO thresholds to show you which speed issues are actively costing you AI citations.
Most SEO professionals know page speed affects Google rankings. Fewer realise it directly affects whether AI engines can cite your content at all. The mechanism is different from traditional search — and the threshold is less forgiving.
Retrieval-based engines like Perplexity and ChatGPT browse mode don't work from a pre-built index the way Google does. They fetch and parse your page in real time, on demand, as part of answering each query. If your page takes 6 seconds to load, there's a real chance the crawler gives up before it finishes reading. Your content simply doesn't make it into the answer — not because it wasn't relevant, but because the server was too slow.
Google's Gemini is less sensitive to real-time fetch speed because it draws primarily on Google's existing crawl index. But Gemini uses mobile-first indexing, which means pages with poor mobile performance — even if desktop is fine — get lower quality signals in the index Gemini draws from. A page in the "Poor" Core Web Vitals band consistently gets fewer citations from Gemini than an equivalent page in the "Good" band, independent of content quality.
Claude and other LLMs that use web retrieval tools follow similar patterns. The common thread across all of them: a page that loads fast is a page that gets read. A page that doesn't get read doesn't get cited.
Not all AI engines are equally sensitive to page speed. The impact depends on whether the engine uses real-time retrieval, a crawl index, or a hybrid of both. Here's what actually happens when your page is slow, for each engine.
Page speed is often treated as a developer problem. In practice, the teams that lose the most AI citations to slow pages are content and SEO teams who don't have visibility into performance data — until now.
Most speed problems that affect AI citation rates fall into four categories: server response time, image optimisation, JavaScript blocking, and render strategy. Each fix below maps to a specific metric and an AEO impact level.