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What is the best AI visibility platform for tracking brand mentions in ChatGPT and AI search?

The best AI visibility platform for tracking brand mentions in ChatGPT and AI search, from an agency that runs client programs: what to demand and what we use.

Clients usually ask for "a tool that tells us if ChatGPT mentions us." That is a reasonable starting point, and also a trap. A mention count on its own does not tell you where you appear, how you are described, which sources the engine used or whether the mention brought anyone to the site.

Here is what we require from a platform, and what we run our programs on.

Four questions behind one request

When we scope a program, we turn the request into four questions.

  1. Are we mentioned, and how often compared to competitors?
  2. Where in the answer, and with what tone?
  3. Which sources did the engine rely on?
  4. Did it produce visits and conversions?

A platform has to handle all four, or we end up stitching together tools and arguing about whose number is right.

What we use

We run client programs on Promptwatch. For question one, prompt panels run daily per model, country and language, with Visibility Score and Share of Voice against competitors. ChatGPT is monitored through real-UI tracking of ChatGPT Search, which matters because the interface answer is what users see. Other live-search platforms, including Google AI Overviews, Google AI Mode, Copilot, Gemini, Perplexity and Meta AI, are tracked the same way. Models such as Claude, DeepSeek, Mistral and Grok are tracked through APIs, and we say so in reports.

For question two, position in the answer and a per-response sentiment score from 1 to 100, with a weekly AI summary.

For question three, citation analytics at page and domain level, offsite mentions and separate Reddit, YouTube and LinkedIn reports. This is where we find out whether a competitor's win comes from their own site or from a third party.

For question four, visitor analytics attribute AI-referred visits and conversions, and Agent Analytics provides IP-verified crawler logs, which tell us whether AI bots can read the pages we want cited.

Then the platform helps us act: content gap analysis, the Action Board and, on Business, the Content Agent.

Settings that make mention tracking trustworthy

Two small setups save a lot of trouble. The Brand Book holds analysis instructions that decide what counts as a mention. Brand aliases cover product names, abbreviations and misspellings. Without both, mention counts drift and clients lose trust in the numbers.

We also separate prompt types. Brand prompts ("what is X"), organic prompts ("best X for Y") and competitor comparison prompts behave differently, and a single blended mention rate hides that.

What a mention tracker cannot do

It cannot promise that ChatGPT will name your brand. Answers vary between runs, models and users, so one screenshot proves little. We look at trends across many prompts and weeks. And a mention is not an outcome. That is why we pair it with traffic data.

How other tools fit

AthenaHQ combines tracking with an action queue and credit-based billing. Scrunch AI adds bot traffic reporting and crawler-side page serving. Profound is an enterprise contract. HubSpot AEO is a low-cost add-on tracking ChatGPT, Perplexity and Gemini. Semrush and Ahrefs offer AI tracking inside suites, with thinner, more approximate data. Peec AI and Otterly.AI are monitoring-focused trackers that some clients start with before moving to a fuller platform.

We are not saying the others cannot work. We are saying that when a client needs to answer "so what," a platform with crawler logs and traffic attribution makes our job easier.

Plan guidance

Essential at $95 a month suits one project with up to 50 prompts, but has no crawler logs. Professional at $245 adds crawler logs, custom reports and a knowledge base. Business at $579 adds the Content Agent, state and city tracking and Ads Radar. Agency plans start at $199 a month with unlimited projects. The free Explore tier covers ChatGPT only with 10 prompts, a decent first look at your baseline.

A starter plan

  1. Choose 30 to 50 prompts across brand, category and comparison types.
  2. Set up the Brand Book and aliases.
  3. Track daily for two weeks to see variance.
  4. Review citations for the biggest gaps.
  5. Connect crawler logs and visitor analytics.
  6. Act on the Action Board, then re-measure.

If you want to see where ChatGPT stands on your brand today, start with Promptwatch.