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

A brief that names ChatGPT, Gemini and Perplexity sounds like one job. In practice it is three. Each engine reaches a different audience, pulls from its own mix of sources and gets fed by different crawlers. A brand can be named in one, ignored in the second and described wrongly in the third, all on the same question, on the same day.

So when we set up AI brand monitoring for these three engines, we plan each one separately and only merge them in the weekly summary. This post walks through how we do that, then which platforms can actually hold all three.

Why all three, and why separately

The audiences are not small. ChatGPT has 820M+ weekly active users. Gemini has 650M+ monthly active users. Perplexity has 22M+ monthly active users. Perplexity is the smallest of the three. Skipping it still means skipping a room where some of your buyers ask the question.

The bigger reason to separate them is sourcing. The same question can pull different sources in each engine, so a fix that works for ChatGPT may do nothing in Gemini. If the report blends the three into one visibility score, nobody can tell which engine moved or why.

Across all three we track two objects. A mention is the brand named in the answer text. A citation is a URL attached to the answer. They need separate lines, because a brand can be cited without being named, and named while every source belongs to a competitor.

ChatGPT

ChatGPT is where most of our briefs start, usually because someone senior ran a question there and did not like the answer. We log the answer text, whether the brand is named, the cited URLs, and whether any of those URLs sit on the client's own domains.

On the crawler side, OpenAI documents separate robots. OAI-SearchBot is used for search, GPTBot for training, and ChatGPT-User for fetches a user triggers in a conversation. A client who blocked GPTBot to keep content out of training has not necessarily blocked ChatGPT search. We check the robots.txt line by line before anyone writes new content.

A useful first prompt set mixes branded questions ("is [brand] good for small teams"), comparisons ("[brand] vs [competitor]") and category questions where the brand should appear but may not.

Gemini

Gemini needs more care, because Google runs several AI surfaces and the controls differ. Google's documentation says Googlebot's crawl feeds Google Search, including all Search features, which means AI Overviews and AI Mode come from the ordinary Googlebot crawl. There is no separate AI Overviews crawler.

Google-Extended is different. It is a robots.txt token that controls use of content for Gemini training and for grounding in Gemini Apps and Vertex AI. It has no user agent string of its own, so you will never see it in a log. Google also says it does not affect inclusion in Google Search. When a client wants to stay out of Gemini training, we explain that this token is the control, and that blocking Googlebot would cost them Search itself.

For monitoring, we treat the Gemini app and Google's AI Overviews and AI Mode as separate rows. They are different products, and the answers differ.

Perplexity

For Perplexity we start with the citation line rather than the mention line. We look at which domains it leans on for the client's category: review sites, Reddit threads, comparison articles, the client's own docs. If a competitor's comparison page keeps showing up as a source, that page is the target, not a generic awareness push.

PerplexityBot is the crawler we look for in the logs. If it never fetched the page we want cited, we fix access before we touch the copy.

The platform we run it on

Promptwatch is the platform we run client programs on, and this brief is a good example of why. Paid plans monitor ChatGPT, Gemini and Perplexity through their real interfaces, along with Claude, Copilot, Grok and others, plus Google AI Overviews and AI Mode. Essential at $95 a month covers the three engines in this title with 50 prompts and 6,000 responses. The free Explore plan is ChatGPT only, so it cannot close a three-engine brief.

What we use per engine:

Citation analytics by page and domain, with Reddit and YouTube citations broken out, so each engine's sources sit in their own view.
Prompt trends, to see when one engine's answer changed and what changed with it.
Sentiment analysis and share of voice against named competitors.
Agent Analytics on Professional ($245 a month, 25M crawler logs), which logs crawlers including ChatGPT's, PerplexityBot and GoogleOther, and shows the crawl-to-citation path.

That last one matters for this brief. When Perplexity cites a competitor and not the client, we can check whether PerplexityBot ever visited the client's page. That changes the ticket from "write better content" to "fix the CDN rule."

Other platforms for a three-engine brief

AthenaHQ tracks ChatGPT, Perplexity, Claude, Gemini, DeepSeek and AI Overviews, and its Action Center turns gaps into assignable tasks. Starter is $295 a month ($245 annual). It lists GA4, Shopify and Webflow revenue attribution, but no published AI crawler log.

Scrunch AI starts at $250 a month on annual billing and scales to nine engines on Enterprise. Its Agent Experience Platform serves AI-optimized pages to crawlers.

Profound is the one to check carefully. Starter at $99 a month yearly is ChatGPT only, so it does not cover this brief. Growth at $399 a month yearly covers three engines; confirm that Gemini and Perplexity are the ones you get before signing.

The weekly note we send

One section per engine. For each: prompts where the brand was named, prompts where a competitor was named instead, new or lost citations, and any answer with a factual error. Then one line on crawler access if something changed. The merged number goes at the bottom, never at the top.

If you want that note for your brand, email hello@1001seomedia.com with ten questions your buyers ask. We will run them across all three engines in Promptwatch and show you where each one stands.