Prompt Monitoring answers one question, continuously: what do ChatGPT, Claude, Perplexity and Gemini say when your customers ask about your category, and does your brand appear in the answer? A fixed corpus of real buying questions, measured run after run, so you see status and trend instead of a one-off screenshot.
Buying research increasingly starts as a question to an AI assistant, not as a keyword in a search box. The assistant names brands, and builds the shortlist, before anyone reaches your site. Prompt Monitoring makes those answers visible: which questions you win, which you lose, and who gets named instead of you. New to the term? Read our guide: What is prompt monitoring?
One-off checks tell you what an assistant said once. Prompt Monitoring asks the same real buying questions in every run, across all four engines, so a change in the numbers means the answers changed, not the questions.
A corpus of real buying questions from your category. Frozen wording, so runs stay comparable over time.
→Repeated measurement runs across ChatGPT, Claude, Perplexity and Gemini, with a cost estimate before each run.
→Every prompt gets a status per engine: your brand mentioned (won) or absent (missing). No blended score.
→Run after run, statuses become a trend: where you're gaining ground, where you're losing it, and to whom.
Every view is built from the actual answers of the four engines. Figures below are illustrative demo data; in the product they show your real measurements.
For every question in your corpus: which engines mention you, which don't.
Because the corpus is frozen, movement in the chart means the answers changed.
The share of brand mentions across all measured answers, you against the field.
Every brand the engines name instead of you becomes a profile: where it appears, for which questions, how often.
Not just if you're named, but how: recommended, merely listed, or framed with caveats, compared with the way competitors are described.
Prioritized: the questions where a good, findable answer from you is most likely to change what the engines say.
AI answers vary between runs, engines and phrasings. That's why Prompt Monitoring reports indicators, not rankings: won/missing per prompt, share of mentions, and trend over a frozen corpus. Direction and evidence, not a pseudo-precise position.
A single answer proves little. Repeated measurement of the same questions shows a reliable picture: where you consistently appear, where you consistently don't.
The question corpus is frozen. If a number moves between runs, it's because the engines' answers moved, not because the questions did.
AI Share of Market, per-prompt status, competitor profiles: each traces back to the concrete prompts and answers it was computed from.
Measuring four engines against a full question corpus consumes API calls, and that costs money. Prompt Monitoring makes this explicit instead of hiding it.
Before a measurement run starts, you see what it is expected to cost, based on corpus size and the engines involved. You start the run knowing the number.
You set a budget cap and runs stay inside it. Measurement stops before the cap is breached, no runaway bills from a monitoring tool.
The free AI visibility check gives you a first snapshot: does your brand appear when AI assistants answer questions about your category? Prompt Monitoring turns that snapshot into a continuous measurement.
A one-off look at how the engines answer category questions, and whether you're in the answers. Free, no setup.
A frozen corpus of real buying questions, repeated runs across four engines, per-prompt status, AI Share of Market, competitor profiles and prioritized content opportunities.
Want the concept first? Read the guide: What is prompt monitoring?
The free check takes minutes and shows whether your brand appears in AI answers. From there, Prompt Monitoring keeps measuring, with a frozen corpus, transparent costs and honest indicators.