Ask ChatGPT who's best in your category. Don't like the answer? Start tracking it.
Updated
Live panel run Aug 17, 2026: 10 real prompts against Perplexity's web-grounded sonar model, one run each. Multi-engine, repeated-run scoring ships with the productized surface; this is the real signal today.
The short answer
When buyers ask ChatGPT instead of Google, you want to know how assistants describe and recommend your brand, and whether that changed after your last push, so the new page one is managed instead of accidental. This is an early-access program: the measurement methodology runs fixed prompt panels across engines on a schedule, scores being named and being cited separately, and reads the trendline rather than a single noisy answer.
Fixed prompt panels run across engines on a schedule, so the read is a trendline, not one noisy answer.
Being mentioned in an answer and being linked as a source are different wins; both are scored on every run.
The methodology runs today; the productized surface is still being built. Versioned prompts and disclosed run counts, so every number can be interrogated.
A single spot-check of an AI answer proves nothing: the same question produces different answers across sessions, models, and phrasings. Measurement that holds up needs a fixed prompt set, repeated runs averaged per engine, and both metrics scored, because a brand can power an answer without being named in it, and be named without being the cited source.
This is the newest lane in the platform, and the honest label is early access: the methodology runs, the productized surface is still being built. The trust bar is the whole point: versioned prompts, disclosed run counts, both metrics reported, and the earned-surface data underneath, so a number can be interrogated instead of believed.
Illustrative request and response
{"query": "best brand monitoring tool","engine": "perplexity-sonar","prompts_run": 10,"named": {"brandwatch": 1.0,"meltwater": 0.9,"sprout_social": 0.8,"your_brand": 0.0}}
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Get early access/v1/brands/{brand_id}/mentionsThe earned surface engines retrieve from, with source links./v1/brands/{brand_id}/mentions/summaryWhere your citable coverage concentrates, by source type.Yes, with repetition and honest scoring: a fixed prompt panel, multiple runs per prompt averaged, engines tracked as separate series, and named versus cited scored independently. One-off checks mislead; trendlines converge.
Engines assemble answers from sources they cite, but the brands they name come largely from training-data-era memory and third-party lists. A page can be cited in nearly half of answers while the brand goes unnamed; the two move on different levers and different clocks.
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