Prompt tracking is the AI search counterpart of rank tracking. A team defines a set of prompts that represent how buyers ask about its category, runs them on a schedule across assistants such as ChatGPT, Perplexity, Gemini, Claude, Copilot and Google's AI features, and records the results: which brands are mentioned, which sources are cited, and what is said. Because AI platforms do not share prompt-level data with site owners, tracking is the main way to measure AI visibility over time.
What to record
A useful tracker captures more than a yes or no for your brand.
- Mention: is the brand named at all?
- Position: is it first, in a list, or a passing reference?
- Citation: is your domain linked as a source, and which page?
- Competitors: who else appears, and in what order?
- Accuracy and sentiment: is the description correct and favorable?
- Sources: which third-party domains are cited for the category?
Making the data trustworthy
AI answers vary from run to run, between logged-in and logged-out sessions, by location and over time as models change. Run each prompt several times per period and report rates, such as the share of runs where you are mentioned, rather than single results. Keep the prompt set stable so trends are comparable, and add new prompts as a separate group.
Tools that automate tracking usually query APIs or simulate sessions. API results can differ from what users see in consumer apps, so check how a tool collects its data before relying on it.
Example
A first tracking set
Driftmoor, a fictional logistics platform, writes 80 prompts: 30 problem-level, 30 comparison and 20 branded. It runs each three times a week in four assistants and tracks mention rate, citation rate and the top cited domains. After a month, it sees that it is mentioned often in branded prompts but rarely in comparison prompts, which points the content plan at comparison and use case pages.
Common mistakes
Tracking too few prompts
A handful of prompts gives noisy, easily skewed results. Cover the main buying questions across stages.
Changing prompts constantly
If the set keeps changing, trends are meaningless. Version your prompt list.
Questions
The idea is similar, but AI answers are less stable and have no fixed positions, so results are better expressed as rates and shares than as ranks.
Weekly is a common cadence for trend reporting, with more frequent runs for important prompts. The right frequency depends on budget and how fast your category changes.
