The rank tracker, rebuilt for LLMs
For twenty years, marketers opened a rank tracker every morning to see where they stood. LLMs broke that ritual: there are no positions in a conversational answer, no page-two consolation prize, and the "results" change with every model update. Yet the underlying question — are we winning or losing this query? — matters more than ever.
Citatur is that morning ritual rebuilt for the LLM era. Instead of keyword positions, it tracks the units that matter in generated answers: whether your brand is mentioned for each buyer question, where in the answer you appear, whether your domain gets cited as a source, and how all of it trends over time across ChatGPT, Perplexity, Gemini and Claude. Your prompts become your keyword list; the daily run becomes your ranking report.
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Prompts are the new keywords
Track the actual questions buyers ask assistants, auto-generated from your site and fully editable — comparisons, "best X for Y" queries and local intents included.
A matrix you can read at a glance
The prompt-by-platform grid shows a check, a miss or a mention rank for every combination, exactly like the keyword tables you already know how to act on.
Model updates, caught early
When a provider ships a new model, answers reshuffle overnight. Scheduled tracking flags the queries you lost within a day, not at the end of the quarter.
History as evidence
Every run is stored with its full answer text and citations, giving you an audit trail for what each LLM said about you on any given date.
Frequently asked questions
What is an LLM SEO tracker?
It is the LLM-era equivalent of a keyword rank tracker: software that repeatedly asks AI models the questions your market cares about and records how your brand performs in the generated answers — mention or miss, position among competing brands, sentiment, and whether your site is cited as a source.
There are no rankings in LLM answers — what do you actually track?
Four measurable things: presence (was your brand mentioned at all), mention rank (were you named before or after competitors), citations (did the answer link your domain) and sentiment. Aggregated across prompts and days, these behave like rankings did: they trend, they respond to your work, and they predict pipeline.
How many prompts should I track?
Quality beats volume. Ten well-chosen buying questions reveal more than a hundred vanity prompts. The free audit covers 10, Starter tracks 25 with a weekly snapshot, and Pro runs 30 daily — enough to cover core intents, comparisons against each competitor and your key use cases. Business extends that to 30 questions per brand across three brands.
Does the tracker handle model version changes?
Yes, by design. Citatur always queries each provider’s current production model with live web access, because that is what your buyers use. When a model update shifts your results, the trend line shows the break — turning "the AI changed something" from a rumor into a dated, quantified event.
Can I export or share the tracking data?
The dashboard keeps full history per prompt, platform and day, including complete answer texts and cited URLs. Pro adds change alerts plus a weekly email report summarizing score changes, biggest movers and new sources, and Business adds CSV exports for spreadsheets and client decks. Everything is stored so a specific answer from three weeks ago is always retrievable.
How is this different from checking ChatGPT manually?
Manual checks are unrepeatable: memory, phrasing and login state contaminate them, and nobody keeps doing them nightly. The tracker asks identical questions through official APIs on a fixed schedule, in a clean context, and stores everything — which is the difference between an anecdote and a metric.
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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.
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