Best tool to track prompts in ChatGPT and other AI search engines
How we track prompts in ChatGPT and other AI search engines for clients: building the prompt set, sizing plans by responses and what to do with the results.
Prompt tracking is the foundation of every AI visibility program we run. It sounds simple: ask the engines the questions your buyers ask, and write down what comes back. In practice, the quality of the prompt set and the way the plan meters usage decide whether the data is useful. Here is how we do it.
Build the prompt set before choosing the tool
We start from the client, not the tool. The prompts come from sales calls, support tickets, search data and the objections buyers raise. We group them by topic and tag them by type: organic category questions, brand questions and competitor comparisons. Mixing the types gives averages that hide what is happening.
Promptwatch helps at this stage. Prompt Explorer suggests prompts from Search Console, ranking keywords, People Also Ask or any page. Prompt Volumes show search volumes, difficulty scores and citation rates across AI search, Google and Bing, so we can order the list by value. Personas, with persona stacking, let us frame prompts for different buyers. Query fan-outs per model show the sub-questions the engines ask behind the scenes, which often suggests prompts the client had not thought of.
Why we track in the real interface
ChatGPT's live experience can differ from an API call. Promptwatch checks the live interfaces of ChatGPT, Google AI Overviews, Google AI Mode, Copilot, Gemini, Perplexity, Amazon Alexa and Meta AI, and also tracks the coding agents Codex and Claude Code. Claude, DeepSeek, Mistral and Grok are tracked via API. We tell clients which is which, so nobody assumes a UI check where there is none. Panels run daily, since answers vary from run to run and a single check proves little.
Understand how the plan meters usage
This is where clients get caught. Many tools count responses, where one response is one prompt on one engine. Fifty prompts across five engines, run daily, uses responses quickly. Before we commit a client, we do the arithmetic.
Promptwatch plans are:
- Essential, $95 a month: 50 prompts, 6,000 responses.
- Professional, $245: 150 prompts, 18,000 responses.
- Business, $579: 350 prompts, 42,000 responses.
- Agency self-serve: Kick-off $199, Growth $399, Scale $799, with unlimited prompts and projects, and response caps of 10,000, 25,000 and 65,000.
Every paid plan includes all active models, so we are not paying engine by engine. Usage alerts fire at 85% of a quota, which saves us from a surprise mid-month. The free Explore tier is ChatGPT only with 10 prompts and 310 responses, enough to try the interface.
What we do with the results
A prompt tracker that stops at "you were mentioned 12 times" gives a client very little to act on. We use the following.
- Citations. Which pages and domains each engine cited for a prompt, with Reddit and YouTube reports and offsite mentions.
- Competitors. Share of voice, position and sentiment against the competitor set, and the heatmap that compares any two dimensions.
- Access. Agent Analytics for IP-verified AI crawler logs, because a blocked bot makes every other measure moot. Crawler logs start on Professional.
- Traffic. Visitor analytics for AI-referred visits and conversions.
- Action. The Action Board and its weekly Discovery agent suggest up to five evidence-backed actions. The content gap analysis shows the prompts where rivals are named and the client has no good page.
- Content. On-demand creation, Content Refresh and, on Business, the Content Agent with the review inbox on.
What we have seen go wrong
- Too many prompts too soon. Start with thirty to fifty and expand once the first panel has run for a few weeks.
- Translated prompts. For international clients, prompts need to be written natively.
- Judging a single run. One answer tells you almost nothing. We look at trends.
- Counting mentions as wins. Being named is not the same as being recommended.
Other tools
We follow the alternatives. Optimization-first platforms can be strong but meter usage in credits that run down fast. Some European tools offer clear euro pricing, with scan credits or a weekly default cadence. Budget trackers are a fine way to test a small prompt list, though most cap engines or history on entry plans. We look at what each does after the prompt, because that is where the client value is.
What we tell clients
No tool can guarantee that an engine will name the client. What prompt tracking does is show where the client stands, make gaps visible and measure whether fixes work. The platform we run client programs on is Promptwatch, and if you are starting out, its free Explore tier lets you try a first panel before choosing a paid plan.