How to Track Your Brand's Mentions in AI Answers

To track your brand in AI answers, run a fixed list of priority prompts across ChatGPT, Perplexity, and Google on a regular cadence, and record whether you get cited, which page got pulled, and which competitors showed up. That gives you a citation share of voice you can watch move over time. You can do it in a spreadsheet to start, then graduate to a dedicated tool when the manual version gets tedious.

You cannot improve what you do not measure, and AI visibility is especially easy to ignore because there is no Search Console for it by default. Most teams are flying blind: in mid-2026, fewer than 15% of marketing teams had a formal GEO program with real citation tracking (RankScope). That gap is the opportunity. The brands measuring now are the ones that will know what is working while everyone else is guessing.

Why this is its own discipline, not a one-off check

It is tempting to ask ChatGPT a question once, see your name, and call it tracked. That tells you almost nothing, for two reasons.

First, AI answers are probabilistic. Ask the same question twice and you can get different sources. Citation sets can drift 40 to 60% month over month. A single screenshot is a snapshot of noise.

Second, what matters is relative, not absolute. Being cited once is nice; being cited more often than your competitors across the queries that matter is the actual goal. You only see that by tracking a fixed panel of prompts over time and comparing.

So treat AI visibility the way you treat rankings: a defined set of queries, checked on a schedule, trended over months.

Step 1: build your prompt panel

Pick 15 to 25 prompts that matter to your business. Cover the range of how real buyers search:

Category definition: "what is an AI CMO?"
Best-of and comparison: "best AI marketing tools for founders"
Head-to-head: "Okara vs [competitor]"
Problem-led: "how do I do marketing as a solo founder?"
Pricing and evaluation: "how much does an AI marketing tool cost?"

Write them the way a customer would type them, not the way you would phrase them internally. Then lock the list, so each cycle tests the same prompts and the comparison stays clean. You can add prompts later, but keep a stable core panel.

Step 2: run them across the engines

For each prompt, check at least ChatGPT, Perplexity, and Google (for the AI Overview). Add Gemini, Copilot, and Claude if they matter to your audience. For each result, log:

Did an AI answer appear at all?
Were you cited? (yes/no)
Which of your pages was pulled?
Which competitors were cited?
Roughly how were you described, in terms of sentiment and accuracy?

A simple table does the job:

Prompt	Engine	AI answer shown?	You cited?	Your page	Competitors cited	Notes

Run it from a clean browser session or logged out where you can, so personalization does not skew what you see.

Once you have the raw log, the headline number is citation share of voice: out of all the prompts where an AI answer appeared, what share cited you, versus each competitor. Track that figure per engine, per month. Most brands starting out measure below 5%, so early movement is easy to see and motivating.

Watch two secondary signals too:

Which pages get pulled. This tells you what structure and topics are working, so you can make more of them. If your comparison pages get cited and your thought-leadership posts never do, that is a content-strategy signal.
AI referral traffic. Set up a channel group in GA4 with a regex like chatgpt\.com|perplexity\.ai|gemini\.google\.com|claude\.ai to separate AI-driven visits from generic referrals. This is messier than citation tracking but confirms whether citations are actually sending people.

Step 4: close the loop

The point of measuring is to act on it. When a competitor gets cited and you do not, open their page and check the obvious things side by side with yours:

Is their answer more direct and higher on the page?
Do they have a sourced statistic you lack?
Is their content fresher, with a recent updated date?
Do they have schema you are missing?
Are they present on a third-party source (Reddit, a roundup) that the engine trusts?

Pick the gap, fix your page, and re-check next cycle. Over a few months this loop is what moves your share of voice from "barely present" to "cited by default."

Step 5: watch sentiment, not just presence

Being mentioned is not automatically good. If an AI describes your pricing wrong, attributes a competitor's weakness to you, or frames your product inaccurately, that is a problem to fix, usually by correcting the source content it is pulling from or improving your own clear, factual pages. Log how you are described, not just whether you appear.

Tools, when the spreadsheet stops scaling

Manual tracking works for one product and 20 prompts. Past that, dedicated AI visibility tools (Otterly, Peec, ZipTie, and others) automate the prompt runs, track share of voice across engines, and monitor sentiment. They save hours once the manual version becomes a chore.

Where Okara fits

This is precisely the kind of repeatable, easy-to-skip work that quietly never gets done at a small company. Okara's GEO agent runs the monitoring for you: it tracks how ChatGPT, Perplexity, Gemini, and Claude describe and cite your brand, watches your share of voice against competitors, and surfaces the specific gaps to close, then hands the fixes to the SEO and Articles agents. You get the measurement and the action in one place instead of a spreadsheet you maintain on willpower. Point it at your URL to see your current standing across the engines.

Frequently asked questions

How often should I check? Monthly is the sensible baseline, weekly for competitive categories. Less frequent than monthly and drift makes the data hard to read.

Why track sentiment, not just whether I'm cited? Because being mentioned inaccurately or unfavorably is its own problem. If the AI describes your pricing or features wrong, that is a content and presence issue to fix, not a win.

Can I trust a single ChatGPT screenshot? No. Outputs vary run to run. Use a fixed prompt panel and a cadence so you are reading a trend, not a snapshot.

What's a good citation share of voice to aim for? There is no universal number; it is relative to your category and competitors. Start by beating your own baseline and out-citing your closest competitor on your core prompts.

Does AI referral traffic show up in normal analytics? Partly, and inconsistently. Set up an AI channel group with a regex on the major engine domains to capture what you can, but treat citation tracking as the more reliable signal.