How to Measure Your Brand’s Presence in AI Search

Your buyers are asking AI about your industry right now. The question is whether your name comes up in the answer.

The shift is well under way. Forrester’s State of Business Buying, 2026 found that generative AI tools were the most frequently cited meaningful interaction buyers had while researching purchases (Digital Commerce 360). TrustRadius reports that 63% of technology buyers used AI somewhere in their buying process, mostly early on, to figure out what kind of solution they need and to build a shortlist (TrustRadius). If you’re not in the AI answer, you may never make the shortlist.

So how do you know where you stand? Start simple, then get more rigorous.

The Do-It-Yourself Check

Start by writing down 10 to 20 questions your buyers would realistically ask. Think less about your brand name and more about their problem: “What’s the best way to…,” “Who are the leading providers of…,” “How do I choose a…” These unbranded questions are where new customers find you, or don’t.

Once a month, run those questions through ChatGPT, Perplexity, Gemini and Google’s AI Overviews. In a simple spreadsheet, log three things for each answer:

• Were you mentioned? And if so, how were you described?
• Were you cited as a source? Note which pages or outlets the answer linked to.
• Which competitors showed up? Especially the ones who appear when you don’t.

AI answers vary from one run to the next, so don’t read too much into any single response. The value is in the pattern over several months.

Finding AI Traffic in Google Analytics

Your prompt log shows whether AI mentions you. Google Analytics 4 shows whether those mentions send people to your site. Here’s how to find it:

1. Go to Reports → Acquisition → Traffic acquisition and change the primary dimension to Session source.
2. Click Add filter, choose Session source, set the condition to matches regex, and paste in: chatgpt\.com|chat\.openai\.com|perplexity\.ai|gemini\.google\.com|copilot\.microsoft\.com|claude\.ai
3. To see which of your pages AI tools are sending people to, open Explore, start a Free form exploration, set rows to Landing page, values to Sessions, and apply the same filter.

To skip filtering, create a permanent “AI Search” channel under Admin → Data display → Channel groups using the same pattern, and drag it above Referral so GA4 counts it first.

One caveat: these numbers are a floor, not a ceiling. Clicks from Google’s AI Overviews are counted as organic search, and many visits from AI apps arrive with no referrer at all and show up as direct traffic (Themeisle).

Going Further: Tracking AI Visibility Over Time

A handful of monthly prompts is a snapshot, not a trend line. That’s where AI visibility tracking platforms come in. Tools such as Peec.ai run a defined set of prompts across multiple AI engines every day and turn the results into data you can actually manage against. Three measures matter most:

• Visibility over time. How often you appear in relevant answers, and whether that number is moving in the right direction.
• Share of voice versus competitors. Your presence measured against the brands you’re competing with for the same buyers. I wrote more about this shift in Share of Voice vs. Share of Model.
• Sources cited. The specific publications, podcasts and pages AI systems lean on when they answer questions in your category.

That last one is the most actionable. It tells you exactly which outlets carry weight with AI in your space, and where you should be earning coverage.

Where a Specialist Makes the Difference

What dashboards won’t tell you is what to do about the numbers. That’s where I’d encourage you to bring in a digital PR specialist who understands how authority PR feeds AI search.

In my work, the sources-cited data is where strategy begins. It shows which trade publications and podcasts AI systems trust, which ones block AI crawlers (my AI Crawler Access Audit covers how to check), and where your competitors are earning mentions you aren’t. From there, the job is earning placements in the outlets that matter, keeping your story consistent, and tracking whether visibility actually moves. It’s the approach I outline in the Authority Ecosystem Model.

Tools measure the gap. Earned authority is what closes it.

Measure First, Then Build

You can’t improve what you aren’t measuring, and AI search is no exception. Whether you start with a spreadsheet or a tracking platform, the goal is an honest picture of whether AI mentions you and how it describes you.

TrustRadius found that 72% of buyers who use AI now fact-check AI output very often or always, and the sources AI cites are among the places they turn to. That means visibility alone isn’t enough. The brands that win are the ones AI can point to with confidence. So it’s worth asking: when a buyer asks AI about your category tomorrow, will you be in the answer, and will the sources behind it back you up?