AI Brand Monitoring Platforms for ChatGPT, Gemini, and Perplexity Mentions
Engine by engine: how ChatGPT, Gemini and Perplexity mention brands, which crawler feeds each, and the ranked platforms that monitor all three.
ChatGPT, Gemini and Perplexity get grouped together as "AI search," but for brand monitoring they behave like three separate channels. They draw on different crawlers, they lean on different sources, and they show citations to the reader in different ways. A platform that monitors all three is only useful if it keeps those differences visible instead of averaging them into one score.
This post takes the engines one at a time, then ranks the platforms in our directory that cover all three. Promptwatch is first.
Mention and citation are different events
A quick definition, because every engine section below depends on it. A mention is your brand name in the answer text. A citation is a source the engine attached to the answer, such as a footnote, a source card or an inline link. You can get one without the other. The engine might name you and cite a competitor's comparison page. It might cite your blog post in an answer that recommends someone else.
For brand monitoring, the citation is often the more useful field. It is the page that shaped what the engine said, and it is the thing you can actually influence.
ChatGPT
Scale first: ChatGPT has 820M+ weekly active users, which makes it the engine where a wrong description of your brand reaches the most people.
OpenAI documents separate robots for separate jobs. GPTBot collects training data. OAI-SearchBot fetches pages for ChatGPT's search features. ChatGPT-User covers fetches a user triggers during a conversation. If you block OAI-SearchBot, you shouldn't expect ChatGPT search answers to cite your pages, no matter what the content says. Check your robots.txt before you check your copy.
A ChatGPT answer can name a brand with no source attached at all, so on this engine the mention field carries a lot of the weight. When search is on, you get source links, and those are the citations worth logging.
Gemini
Gemini has 650M+ monthly active users. It is Google's assistant, but Google treats its crawl controls separately from Search. Google-Extended is a robots.txt token, not a crawler, and it controls whether your content is used for Gemini training and grounding in Gemini Apps and Vertex AI. Google's documentation says it doesn't affect inclusion in Google Search and isn't a ranking signal. You'll never see "Google-Extended" in a log, because Googlebot does the fetching.
The practical point for brand teams: blocking Google-Extended to keep content out of model training can also take it out of Gemini's grounded answers. Decide that on purpose.
Perplexity
Perplexity is the smallest of the three, with 22M+ monthly active users, and it puts its sources right in front of the reader. That makes it the engine where a weak citation is most visible. If Perplexity names you and the source underneath is a stale third-party review, the reader sees both. Its crawler, PerplexityBot, shows up in server logs like any other bot.
Why one engine doesn't predict another
The three engines reuse different sources for the same question. A page that ChatGPT cites for "best payroll software for small teams" may never appear in Perplexity's answer, which may cite a forum thread or a listicle instead. Gemini may name you with neither source. If you only monitor one engine, you'll fix the page that already works and miss the engine that never saw it.
That is why the most useful view is domain-level citations per engine. It tells you which publishers each engine trusts for your category, and that list is your outreach and content plan.
Ranked platforms for three-engine monitoring
1. Promptwatch
Promptwatch monitors ChatGPT, Gemini and Perplexity on their real interfaces, along with Claude, Grok, Copilot, Google AI Overviews, AI Mode and others. Citation analytics split sources by page and domain, with dedicated Reddit and YouTube reports, offsite mentions, and citation trends over time. Sentiment, share of voice and competitive benchmarking sit on the same prompts.
The part the others don't cover is the crawler side. Agent Analytics logs ChatGPTBot, ClaudeBot, PerplexityBot, GoogleOther and the Meta AI crawler on your own site, with a crawl-to-citation path and error tracking. So when Perplexity stops citing your page, you can check whether PerplexityBot is still fetching it or hitting errors. Visitor analytics then show which AI referrals converted.
Explore is free but ChatGPT only, with 10 prompts. Three-engine monitoring starts on Essential at $95 a month (7-day trial). Crawler logs start on Professional at $245. Review: Promptwatch.
2. AthenaHQ
AthenaHQ covers eight engines from day one, with a unified GEO score, sentiment and an Action Center for assigning fixes. There is a free tier with about 300 credits and Starter at $295 a month. Starter is limited to one country, and billing is credit-based. Its listing has no crawler-log product.
3. Scrunch AI
Scrunch AI tracks up to nine engines and benchmarks competitors, with an Agent Experience Platform for serving AI-optimized pages to crawlers. Starter is $250 a month billed annually. Prompt credits are spent per engine, so monitoring all three named engines costs three times the credits of monitoring one.
4. Profound
Profound is the trap in this query. Starter ($99 a month, annual) is ChatGPT only. Growth ($399 a month, annual) covers 3 engines. Gemini and Perplexity together, alongside the rest of its 10 engines, means Enterprise, which starts around $40k a year.
A first week that works
Write 20 prompts in your buyers' words. Run five of them by hand on each engine so you have a baseline. Then load all 20 into Promptwatch Essential and read the results per engine, not blended. Look for prompts where one engine names you and another doesn't, and open the domain-level citations for both. The difference between those two source lists is usually the shortest path to closing the gap. The rest of the ranking is there if you want to compare.