Prompt tracking · Monitoring prompts in AI engines
Prompt tracking means regularly sending a list of prompts to AI engines (ChatGPT, Gemini, Perplexity, AI Mode) and recording whether your brand is mentioned or cited. It is the basis of most GEO tools, and also the most debated method.
Standalone definition · 40 words
Why prompt tracking scores move from one day to the next
Peec AI analysed seven months of data across 120 million chats (October 2026). Each prompt behaves like a biased coin: the engine mentions the brand at a fixed rate, and each run is a flip. Hence scores going from 46% to 41% then 45% with no real change.
Prompt tracking best practices according to Peec AI
Track more prompts rather than rerunning the same ones more often, give trends time to confirm, and separate branded from non-branded prompts. Branded prompts rarely move, non-branded prompts are where optimizations show.
Dejan’s critique of prompt tracking
Dejan does not do prompt tracking: according to the agency, prompts are infinite variants of the same intent. Instead, it tracks core entities (for example “running shoes”) with one fixed prompt sent to Google, OpenAI and Anthropic models. If a brand’s share moves, the cause is the model or the web results, not the wording.
Frequently asked questions about Prompt tracking
How many prompts should you track?
Peec AI says you can detect real changes with 50 prompts, given enough time. The more prompts, the more reliable the sample.
Does prompt tracking reflect what users see?
Imperfectly. Real users have history, memory and varied wording that tools do not reproduce.
Terms related to Prompt tracking
Further reading on Prompt tracking
- Visibility in AI search: are tracking tools misleading us?
- Best GEO tools 2026: top 10 free and paid
- ← Back to the GEO glossary (126 terms)
Sources for the Prompt tracking definition
- Peec AI, “The key to prompt tracking” (blog, 2026)
- Dejan, “Why we don’t do prompt tracking” (blog, 10/07/2026)