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AI Brand Monitoring Platforms for ChatGPT, Gemini, and Perplexity Mentions

ChatGPT, Gemini and Perplexity mention brands in different ways and pull from different sources. An engine-by-engine buyer guide to monitoring all three, and the platforms that do it.

ChatGPT, Gemini and Perplexity get lumped together as "AI search", and most brand monitoring dashboards average them into a single visibility score. That average is convenient and nearly useless. The three engines reach different audiences, decide when to show sources in different ways, and lean on different parts of the web when they describe your brand. A brand can do well in one and be absent from another in the same week.

So this guide goes engine by engine first, then looks at which platforms actually monitor all three properly.

ChatGPT: the largest audience

ChatGPT has 820M+ weekly active users, which makes it the engine most brand teams care about first. It also produces two quite different kinds of answer. Some come straight from what the model already knows, with no links at all. Others come from a live search, with sources attached.

OpenAI documents separate robots for these jobs: GPTBot collects training data, OAI-SearchBot crawls for search, and ChatGPT-User fetches pages when a user's request triggers it. For monitoring, the practical point is simple. A ChatGPT mention without a link tells you about your reputation in the model. A ChatGPT citation tells you which page won the search step. Log them separately or you will not know which problem you have.

Gemini: Google's audience in a chat window

Gemini has 650M+ monthly active users. For brands that already invest in Google, it is tempting to assume good search rankings carry over. Treat that as a hypothesis to test, not a given.

Google runs a robots.txt token called Google-Extended that controls whether your content is used for Gemini training and for grounding in Gemini Apps. Google states it does not affect inclusion in Google Search. That means a site can be fully visible in Search while having opted out of some Gemini uses, and the marketing team may not know who set it. If your Gemini mentions look thin compared with your search presence, check that file before rewriting content.

Perplexity: sources up front

Perplexity is the smallest of the three at 22M+ monthly active users, but it shows its sources next to the answer by design. That makes it the clearest window into which pages an engine trusts for your category, and a cited link sits right where the reader can click it.

Its crawler, PerplexityBot, is one of the bots worth watching in your logs. When Perplexity cites a competitor's comparison page instead of yours, the first thing to rule out is whether PerplexityBot could fetch your page at all.

Why one blended score misleads

Say your brand appears in 60% of ChatGPT answers for your core prompts, 20% on Gemini and 10% on Perplexity. A blended score lands somewhere in the middle and looks acceptable. Meanwhile Perplexity is citing a review site where a competitor ranks first, and Gemini is describing your product from a page you retired last year.

Three columns, one per engine, with mention and citation tracked as separate fields, is the minimum structure. Add the cited domain for each answer and you can see which sources each engine is drawing on. There is no reason to expect the three lists to match.

Platforms that monitor all three

Promptwatch

Promptwatch monitors the real product interfaces on paid plans, across ChatGPT, Gemini and Perplexity plus Claude, Grok, Llama, DeepSeek, Mistral, Copilot, Google AI Overviews and AI Mode. Every response is stored per prompt and engine with sentiment, share of voice and the cited sources, so the three-column view is how the data arrives rather than an export you build. Prompt trends show how each engine's answer moved between checks.

AthenaHQ

AthenaHQ tracks ChatGPT, Perplexity, Claude, Gemini, DeepSeek and AI Overviews and rolls them into a GEO score, with an Action Center that turns gaps into tasks. Starter is $295/mo ($245 annual) and single-country. Usage is credit-based, so check how fast three engines times your prompt list burns credits.

Scrunch AI

Scrunch AI covers up to nine engines on its top tier. Our listing notes prompt credits are consumed per engine, which matters here: watching one prompt on three engines costs three. Starter is $250/mo billed annually.

Profound

Profound is sold mostly as marketing agents now. Its Starter plan ($99/mo annual) is ChatGPT only, which rules it out for a three-engine brief. Growth at $399/mo annual covers three engines, so confirm on the sales call that they are the three you need.

HubSpot AEO is worth a mention because its three engines are exactly ChatGPT, Perplexity and Gemini, at $50/mo. It is a lighter tool, without the crawler or conversion layers.

Running the three-engine monitor in Promptwatch

This is the setup we recommend, and it is where Promptwatch earns the top spot.

Start with 30 to 50 prompts on Essential ($95/mo), which allows 50 prompts and 6,000 responses. Explore is free but ChatGPT only, so it cannot show Gemini or Perplexity. Tag prompts by topic and, if you sell in several markets, set country, state or city targeting so a Dutch buyer's Gemini answer is not compared with an American one.

Then read the citation analytics per engine. Put the top cited domains for Perplexity next to the ones for ChatGPT and Gemini and note where they differ. The Reddit and YouTube citation views show when a thread or video is doing the describing for you. Those are the pages to answer, update or outrank.

When one engine stays cold despite good content, move to Professional ($245/mo). Agent Analytics logs crawler hits from ChatGPTBot, PerplexityBot, GoogleOther and others, with the crawl-to-citation path and errors, so you can tell an access problem from a content problem. Visitor analytics, included from Essential up, shows which engine actually sends people who convert, which is the number that settles budget arguments between the three.

See the tools list for every platform we review.