Prompt Tracking

There is no Search Console for ChatGPT. AI engines expose no impression data, no query reports, no ranking pages, so the only way to know how they talk about your brand is to ask them, systematically and repeatedly. Prompt tracking does exactly that: a curated set of conversational queries, run on a fixed schedule across each engine, with every answer parsed for brand mentions, positions, sentiment, and cited sources.

Repetition is essential because generative answers vary between runs. One sample tells you what an engine said once; daily samples tell you what it says on average, which is what your prospects collectively experience.

Good prompt sets mirror the buying journey: category discovery ("best GEO platforms for SaaS"), comparisons ("X vs Y for mid-market teams"), use cases ("how to track brand mentions in ChatGPT"), and problem statements your product solves. Include the phrasing real users employ, conversational, specific, often longer than classic keywords, and cover the locations and languages of your markets, since answers differ by region.

Avoid over-weighting branded prompts; they confirm recognition but reveal nothing about competitive presence. Most teams run 20 to 50 prompts per market and tag them by topic and search intent for segmented reporting.

Tracked answers become time series: mention rates per prompt, share of voice per engine, citation sources per topic. This is the dataset that powers everything downstream, content gap analysis to find prompts where competitors win, alerting on sudden visibility drops, and before-after evidence that a content initiative moved the needle.

Geonimo's prompt tracking runs every tracked prompt daily across five-plus AI engines, with custom prompts analyzed within minutes of being added, so new questions enter the dataset immediately.