The measurement engine for AI search optimization
AI search optimization — call it AEO, GEO or LLM SEO — has one embarrassing secret: most teams practicing it cannot measure it. They rewrite pages for "AI-friendliness", add schema markup, publish FAQ content… and have no idea whether a single AI answer changed. Optimization without measurement is expensive guessing.
Citatur is the measurement layer that makes AI search optimization a real discipline. It establishes your baseline across ChatGPT, Perplexity, Gemini and Claude, shows which sources those engines actually cite for your buyers’ questions, and then tracks every answer on a schedule so each content change you ship gets a verdict: visibility up, flat, or down. You stop debating tactics on faith and start iterating on data.
Baseline my AI visibilityFree one-shot audit · no credit card needed
Baseline before you optimize
You cannot improve what you never measured. The free audit fixes your starting point: mention rates, competitor share and cited domains for every question that matters.
Target real sources, not folklore
AEO advice is full of superstition. The citation report replaces it with the actual list of pages AI engines trust for your queries — the only pages worth optimizing or winning.
Verify every change
Ship a comparison page, update your docs, land a review — then watch the scheduled runs confirm whether AI answers moved. Attribution, not anecdotes.
One workflow, four engines
Optimizing for AI search means optimizing for several engines with different retrieval habits. Citatur scores them side by side so you invest where the gap is largest.
Frequently asked questions
What is AI search optimization (AEO/GEO)?
It is the practice of increasing how often AI assistants mention, recommend and cite your brand when users ask questions in your category. It borrows from SEO but targets answer synthesis instead of rankings: the goal is being part of the answer, not a blue link below it.
How is this tool different from an SEO rank tracker?
Rank trackers watch positions on a results page. Citatur watches the answer itself: whether your brand is named, how early, with what sentiment, and which sources were cited. There are no positions to track in an AI answer — there is presence, framing and sourcing, and those are what we measure.
Does traditional SEO still help with AI visibility?
Partially. AI engines lean on well-ranked, crawlable content, so technical SEO remains table stakes. But they weigh third-party trust signals — review platforms, comparison articles, community threads — far more heavily than your own site. Measurement shows you the actual mix for your niche instead of a generic playbook.
What should I optimize first to improve AI visibility?
Run the audit, then attack the largest gap. Typically that means winning presence on two or three domains that AI engines repeatedly cite for your questions, and publishing direct, factual answers to the highest-intent questions where you are absent. Re-measure weekly and double down on what moves.
How long does AI search optimization take to show results?
Search-grounded engines like Perplexity and Gemini can reflect new sources within days; answers that rely more on model knowledge move slower, over weeks to months. Citatur’s trend lines per platform show you which battles are fast and which are structural, so you can set honest expectations.
Can agencies use Citatur for client reporting?
Yes — the Business plan is built for exactly that: three brands, each with its own questions, competitors, daily runs and score history, plus CSV exports for client-ready reporting. The dashboard gives you the before/after evidence that AEO retainers usually lack, which makes renewals a much easier conversation.
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See where your brand stands in AI answers
One URL is all it takes — your visibility score across ChatGPT, Perplexity, Gemini and Claude in minutes.
Start your free audit