Is this just a Google Alert for AI?

No. A Google Alert catches when your brand appears in indexed text. This tracks what an engine actually says when a buyer asks it a question - whether you are named, how you are framed, and who gets cited instead - which requires systematically asking the questions and logging the answers.

Which engines get tracked?

ChatGPT, Google AI Overviews, and Perplexity as the core set, with Claude and Copilot added where your buyers actually use them. We run this same tracking discipline on our own brand continuously.

How often does an AI engine's answer about a brand change?

Often enough that a one-time check is close to worthless - engines update retrieval sources, weighting, and even model versions. That is why this is tracked over a window, not screenshotted once.

Know What ChatGPT Says About Your Brand - Before Your Prospects Do

The situation

Your sales team keeps hearing some version of "I asked ChatGPT about you first" - and nobody in the company can say what the engine actually told that buyer. It could have been accurate, outdated, favorable, or it could have named a competitor by name and never mentioned you. Right now, you are guessing.

Why it's a real problem

You are being evaluated in a room you cannot see, by an engine you do not monitor, using information you never verified. Every other stage of the buyer journey has an instrument watching it - search rankings, ad impressions, email opens. The AI-answer stage, which now happens earlier than most of those, has none. A deal can be lost before your sales team ever hears about it, for a reason nobody diagnosed.

What we implement

We run continuous answer tracking across ChatGPT, Perplexity, and Google AI Overviews on your actual buyer questions - not a one-off screenshot, a tracked window of logged answers, the same discipline behind classic rank tracking one layer up - and this is the core of the AI visibility audit.

What you get

A documented mention rate and sentiment score in place of "we think it's fine" - the number leadership can actually cite.
Visibility into exactly which competitor gets named instead of you, on which questions, and in what tone - so the gap is specific, not a feeling.
A prioritized list of the questions where you are absent and winnable, ranked by buying intent, so the fix starts where it moves pipeline first.

Illustrative scenario

A services firm whose sales team kept losing early-stage deals with no visible cause might discover, once the tracking runs, that AI engines were consistently naming a slower, pricier competitor on the exact comparison question prospects asked first. (Illustrative scenario - not a measured result.) The value in a real engagement is finding your own version of that gap, not this one.

House law applies here too: anything the audit could not measure gets labeled an assumption in the deliverable itself - a report about AI answers that overstates its own certainty would be its own counterexample.

Know what ChatGPT says about your brand - before your prospects do