Measuring AI visibility for a local business requires a simple, repeatable query testing protocol that operators can run and report to clients.
Local business AI visibility is measured by running a standardized set of target queries across AI platforms at defined intervals and recording citation frequency, citation accuracy, and citation context. The measurement set is established during Phase 0 intake using the client's top 10 target intent queries and is used consistently throughout the engagement.
The evaluation sequence: (1) Establish query battery at intake. (2) Run baseline pre-build to document zero-state. (3) Run at 30, 60, and 90 days post-build across ChatGPT, Perplexity, Claude, and Gemini. (4) Document citation frequency per query per platform. (5) Track SEER Interactive conversion benchmark for AI-referred traffic in client analytics.
An operator's 90-day report for a Carlsbad plumbing company shows: 0 citations at baseline; 4 at 30 days; 11 at 60 days; 19 at 90 days. Google Analytics confirms AI-referred traffic converts at 3x the rate of organic search traffic. The operator uses this report to renew the monthly retainer.
Measuring Local Business AI Visibility is a Gravity node in the AI Visibility for Local Business cluster.