AI Brand Monitoring Platforms for ChatGPT, Gemini, and Perplexity Mentions
ChatGPT, Gemini and Perplexity each find their sources through different crawlers. How to monitor brand mentions engine by engine, and which platforms cover all three with evidence you can act on.
Most brand monitoring advice treats "AI" as one channel. It isn't. Going by the user counts Promptwatch publishes for the platforms it monitors, ChatGPT has more than 820 million weekly active users and Gemini more than 650 million monthly active users. Perplexity is much smaller, at more than 22 million monthly active users.
Those engines also reach the web through different crawlers. A brand can be described well in one and be missing or wrong in another, and a single blended score will hide that. So this guide goes engine by engine first, then looks at which platforms cover all three and what they let you do about a gap.
Mention, citation, recommendation
Before comparing platforms, separate the three things a monitor might count.
A mention is your brand name in the answer text. A citation is a source the engine attached, which may be your page or someone else's page about you. A recommendation is a mention in a position that helps you: named first, named as the pick, or named with the right price.
A platform that counts only mentions will report a win when ChatGPT names you as the option nobody should buy. Citations matter most for fixing things, because they show what the engine read. Recommendation position is what your sales team feels.
ChatGPT
OpenAI documents separate robots. GPTBot collects training data, OAI-SearchBot crawls for search, and ChatGPT-User fetches pages when a user's chat triggers it. For brand monitoring that split is practical, not trivia. If your logs show GPTBot on your pricing page but never OAI-SearchBot, the search answers may be built from somebody else's description of your prices.
Monitor the prompts a buyer asks before shortlisting: "best tool for this job," "you versus a rival," "is this brand worth it." Record the answer as the interface shows it, plus the cited pages. The interface version is what those 820 million weekly users actually read.
Gemini and Google's AI surfaces
Google is simpler and more confusing at once. AI Overviews and AI Mode in Search are fed by Googlebot. There's no separate AI Overviews crawler. Google-Extended is a robots.txt token that controls whether your content is used for Gemini training and grounding in the Gemini apps and Vertex AI. It has no user agent of its own, so it never appears in a log, and Google says it doesn't affect inclusion in Google Search.
In practice, "monitoring Gemini" covers two surfaces: the Gemini app, and AI Overviews or AI Mode in Search. Track them as separate engines. A brand can do well in one and poorly in the other, and the fixes differ, since one depends on Googlebot and the Search index and the other also depends on your Google-Extended setting.
Perplexity
Perplexity crawls with PerplexityBot, one of the crawlers Promptwatch's Agent Analytics names in its logs. Its audience is the smallest of the three. That makes it a sensible place to test a correction before you worry about the larger engines: publish a better page, check whether PerplexityBot fetched it, then see whether the next answer changed.
Don't average the engines
One number across all engines looks tidy on a slide. It's also how a brand misses that it vanished from Gemini while ChatGPT held steady. Keep per-engine views for the same prompt set, and compare like with like: the same prompts, the same personas, the same locations.
That last point matters for multi-market brands. An answer in one country can name a different set of competitors than an answer in another, so location targeting belongs in the setup, not in a later phase.
Which platforms cover all three
Promptwatch monitors ChatGPT, Gemini, Perplexity, Claude, Grok, Copilot and others, plus AI Overviews and AI Mode, from the real interfaces. Prompts take country, state and city targeting and personas, so you can see whether Gemini answers differently in Berlin than in Boston. Citation analytics break sources down by page, domain, Reddit and YouTube, and citation trends show when a source starts or stops being used. The free Explore tier is ChatGPT only. Multi-engine tracking needs a paid plan, from $95/mo on Essential.
AthenaHQ tracks ChatGPT, Perplexity, Claude, Gemini, DeepSeek and AI Overviews and rolls them into a unified GEO score. Starter is $295/mo ($245 annual) and limited to a single country, which matters if you sell in several markets. Its Action Center turns gaps into assignable tasks.
Scrunch AI covers up to nine engines on Enterprise. Starter is $250/mo billed annually, and our catalog notes weekly data refreshes.
Profound needs a careful read for this search. The $99/mo Starter is ChatGPT only. Growth at $399/mo annual covers 3 engines, and our catalog doesn't list which three. The full list of up to 10 engines, with Gemini and Perplexity among them, is on Enterprise, which starts around $40k a year.
From an engine-specific gap to a fix
This is where the agentic difference shows. Say Perplexity keeps citing an old review that gets your pricing wrong, while ChatGPT gets it right.
A monitor tells you that and stops. In Promptwatch, the citation view shows the stale review as the source behind that prompt on that engine. A Content Agent can draft a current pricing explainer, which you approve in the review inbox and publish to Webflow or Framer. From Professional at $245/mo, Agent Analytics then shows when PerplexityBot fetched the new page, and prompt trends show whether later answers moved. Visitor analytics finish the picture by showing whether Perplexity sends visitors who convert.
That sequence is why we rank Promptwatch above platforms that cover the same three engines. The coverage is similar. The amount of the job that gets done is not. Compare the rest on our tools page.