A closed loop for AI citation visibility
We don't just audit — we score, prescribe, and let you measure the lift after every fix.
A closed loop, not a one-off audit
We simulate how AI models evaluate and select sources by analyzing your structure, content depth, and citation signals — estimating how likely you are to be cited.
We render your page and extract 5 citation signals — depth, structure, schema, clarity, claim support.
An AI model evaluates the signals the way ChatGPT, Gemini and Perplexity weigh sources.
Three labeled fixes — high impact, medium, quick win — with copy-ready snippets.
See before vs. now. Most users improve in 1–2 iterations.
What we actually measure
These mirror how ChatGPT, Gemini, and Perplexity weigh sources when composing answers.
Long-form, substantive answers beat thin pages. AI models prefer sources that actually resolve the question.
Clear H2/H3 hierarchy, lists, and tables make it easy for models to extract a citable chunk.
FAQ, HowTo, Article, and Product schema give models machine-readable confidence in what the page is.
Direct, declarative sentences — not marketing fluff. Models cite text they can quote verbatim.
Stats, sources, and named entities. Unsupported claims get filtered; supported ones get cited.
How it works — questions
How long does a scan take?
Under 30 seconds. We render your page, extract the 5 signals, score them, and return three ranked fixes.
Do I need to install anything?
No. Paste a URL. That's it. No tag, no script, no DNS change.
What happens after I apply a fix?
Re-scan the same URL. AI CiteRank shows your previous score next to the new one so you can see the lift before vs now.