Competitor & Citation Tracking
Find out who is being recommended in your place, how consistently, and which sources the assistant leaned on to say it.
The models will tell you who your competitors are
You do not have to guess at the field. Every answer we collect is scanned for brand names, and the ones that recur are surfaced, ranked by how many separate answers named them.
It is frequently not the list you would have written. Assistants routinely name adjacent products, incumbents you had discounted, and occasionally a company you have never heard of that is showing up in a third of answers.
You choose which of those become tracked competitors. The field is a judgement about who a buyer actually compares you against, so it stays yours to set.
Product screenshotCompetitors cost nothing extra to score
Every tracked brand is scored from the same answers we already collected for your own brand. There is no second round of measurement, so there is no marginal cost, which is why we don't price per tracked brand.
A vendor charging you per competitor is charging for something that costs them nothing.
Adding a competitor changes the denominator. Share of Model divides by the field's total presence, so figures from before and after a change to the tracked set are not directly comparable. The interface says so rather than drawing a continuous line across the change.
Citations, where the answer came from
When an assistant uses web search to answer, it cites sources. We record every citation in every answer and aggregate them.
Product screenshotWhich domains get cited
The sources the model actually leans on for your category, review sites, comparison pages, competitors' own documentation, forums.
Whether any of them are yours
Including subdomains. A brand cited zero times across hundreds of citations has a retrieval problem, not a content problem, and that is a different fix.
Which of your pages were cited
Citations are matched back to the pages we crawled, so a cited URL connects to its own findings and its own visibility score.
Cross-engine overlap
How much the engines agree on sources. Very low overlap means engine-specific work; very high overlap means a small set of pages is deciding your category.
The research behind this: citation vs mention vs recommendation and Share of Model.
See who is winning your category
Start with a free audit, then track competitors and citations on a paid plan.