Perplexity Visibility Tracker and the sources behind every answer
A Perplexity visibility tracker records whether Perplexity names your brand in answers to buyer questions, and — because Perplexity shows its working — exactly which pages it used to get there. It is the most source-driven of the major assistants, which makes it the clearest place to see why an answer went the way it did.


The AI answer engines Koalr monitors for your brand
It tells you exactly why you lost.
It shows its sources on every answer
Perplexity cites as it writes. That turns a vague question, why are we not recommended, into a concrete list of pages you could actually be on. No other engine makes the causal chain this legible.
The answer follows the sources closely
Because it retrieves and then summarises, the cited pages largely decide the outcome. If the sources it pulls for your category cover competitors, the answer follows them — which is fixable in a way that a model's opinion is not.
It is the fastest engine to check
Perplexity returns in seconds rather than the minute a browsing assistant takes, so it is the sensible engine to start with when you want a first read on a category.
Perplexity's cited sources for one brand: the widest spread of any engine, and only 16% of it the brand's own pages.
Getting cited by Perplexity.
Perplexity is the one engine that hands you the answer to your own question, because it names the pages it used. Treat that list as a to-do rather than a report: every cited URL is either somewhere you could be mentioned, or a page you could have written better than whoever did.
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Read the cited sources for the questions that matter, then work out which of them could plausibly mention you and pitch accordingly.
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Lead your own pages with the answer. Retrieval favours a clear statement near the top over a conclusion you build to slowly.
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Separate being cited from being recommended. Cited-but-not-named means your content is teaching the answer while a rival collects the credit.
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Re-check after a source changes. Perplexity follows the pages, so a single updated roundup can move the answer within days.
Run a fixed set of buyer questions through it on a schedule and record, for each one, whether your brand was named and which URLs were cited. Enter your domain above for a free check: Koalr writes three buyer questions for your category, asks Perplexity, and returns the named brands and the cited sources.
It retrieves pages that answer the question directly and clearly, then summarises them. Pages that state an answer plainly near the top tend to be cited more than pages that build to a conclusion slowly. Being cited is not the same as being recommended, and Koalr records the two separately.
Yes, and it is a common and frustrating pattern. Your page can be used as a source for the explanation while a competitor is named as the choice. That means your content is teaching the answer and someone else is collecting the credit, and it needs a different fix from simply being absent.
By being on the pages it already retrieves for your category, which are usually not your own. In our citation research, 84% of citations point at pages the mentioned brand does not own. So the work is a mix of earning a place in the comparisons and roundups it reads, and making your own pages easy to extract a direct answer from.
Often not. In our own testing the same question put to Perplexity and Claude produced almost no overlap in the brands named. That is exactly why tracking a single engine gives a false read, and why Koalr covers all seven on every plan.
One engine is a sample, not a score.
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Koalr vs HubSpot AEO It tracks Perplexity, and neither of Google's AI surfaces.
Koalr vs Scrunch AI From $300 a month, with a 72-hour default refresh.
Find out what AI says about you.
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