Peak Answer measures whether ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews recommend you on the questions your buyers actually ask, every week, so the answer to that question is data rather than an opinion.
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"Are we showing up in AI?" is an unanswerable question as posed, which is why it keeps getting asked. Showing up where, on what, compared with whom. Without those three it is a mood.
The version that can be answered is narrower: on the specific questions a buyer in our category types, how often does an engine name us, how often does it name a competitor instead, and is that moving. That is a measurement, it can be run every week, and it is what this product does.
Peak Answer runs simulated browser sessions that ask real engines your buyers' questions — ChatGPT, Claude, Perplexity, Gemini, Google AI Mode and Bing — and reads the answers. It records which brands were named, whether you were among them, and every source the engine cited to build that answer.
The questions are not invented. They come from your Search Console data and from what the search results for your category actually contain, so the set is defensible when somebody asks where it came from.
Search Console data comes in alongside, because traditional search did not stop mattering the week AI answers arrived, and a report that covers one and ignores the other will get picked apart in the meeting.
The number that travels well is not a visibility index, it is a count: you are named in 7 of 22 tracked buying questions, up from 4, and here are the three where a named competitor wins instead. That is specific enough to act on and honest enough to survive scrutiny.
The product is deliberately conservative about attribution. An article's effect on its target question is checked three weeks after publication and reported as measured or as too thin to call, rather than assumed. If you are presenting to someone who has been burned by marketing dashboards, that distinction is the thing that buys credibility.
Measurement is the first of five pillars and the only one the rest depend on. Once a question is identified as lost, the product writes the article aimed at it, ranks the sites the engines already quote for your category and drafts the outreach, finds the Reddit and LinkedIn threads worth answering, and fixes the technical faults stopping crawlers reading you.
Nothing publishes without approval. Drafts go to your CMS as drafts.
It will not promise a timeline for content and citations. Our research across fourteen markets found entry bars ranging from 12 to 66, which is the difference between a quarter of work and a year of it, and any tool quoting one number for every market is quoting a number it did not measure.
It will not run backlink exchanges or buy links. The backlink pillar is a ranked list of sites the engines are observed citing, plus the outreach written for you.
A rank tracker reports position for a keyword. This reports whether a model named your brand when somebody asked a question, which is a different event with different causes. Most teams end up running both, which is why Search Console sits inside this product rather than being replaced by it.
It depends on the plan, and the right number is smaller than most teams expect. Twenty well-chosen buying questions measured weekly is more useful than two hundred measured monthly.
Yes, and the weekly report is written to be forwarded rather than screenshotted.
The product generates them from your Search Console data and the live search results for your category, and you can add, remove or pin any of them.
Seven days, no card. Peak Answer measures your first questions on the day you sign up.
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