Measure AI Citations
Build a defensible AI-citation baseline using repeatable prompts, source capture, answer sampling, referral signals, and clear limits on what the data
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Stories tagged Measurement
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AI Visibility Benchmark Methodology
Most AI-visibility tools report a single percentage that hides how it was calculated; a more honest approach uses stratified query sampling, multiple…
How to Measure Brand Visibility in AI Search (ChatGPT, Perplexity, Gemini)
Brand visibility in AI search is measured by running a fixed set of representative prompts against each answer engine on a schedule and logging whether, how, and above which competitors your brand gets mentioned — there's no official analytics API for this, so every method is a sampled estimate, not a census.
AI Search Prompt Governance
Govern AI-search prompt sets with intent coverage, version control, reviewer ownership, sampling frequency, localization, and a record of answer changes.
Brand Mention vs Citation
Separate brand mentions from actual source citations in AI-search reporting, with definitions, examples, sampling rules, referral signals, and caveats.
