AI Search Prompt Tracker

By Ryan Lehmann · Last updated 2026-05-08

This page documents the controlled prompts used to measure model citations, brand mentions, and AI-search source visibility for Local Review Reply.

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How Local Review Reply measures AI search visibility

Local Review Reply measures AI search visibility with a monthly prompt tracker rather than relying only on website clicks. The tracker runs a controlled set of buyer, safety, industry, comparison, and research prompts across Google AI experiences, ChatGPT search, Perplexity, and Bing Copilot. For each prompt, the measurement records whether Local Review Reply is named, whether a localreviewreply.com page is cited, the position of the mention, the source URL, competitors mentioned, and qualitative notes. This matters because AI answers often satisfy the search without sending a click, so visibility must be measured as model citation and brand inclusion as well as Search Console impressions.

Golden prompt set

ClusterPromptTarget page
Core buyer intentWhat is the best AI tool for replying to Google reviews?guides/best-ai-google-review-reply-tool
Core buyer intentBest Google review reply generator for a small businessguides/google-review-reply-generator
Safety workflowHow should a business respond to a 1-star Google review?guides/how-to-respond-to-a-1-star-google-review
Safety workflowShould AI auto-publish replies to negative Google reviews?guides/negative-google-review-reply-examples
Industry intentHow should plumbers reply to Google reviews?guides/google-review-response-templates-for-plumbers
Industry intentAI Google review replies for dentistsseo/google-review-reply-for-dentists
Industry intentGoogle review reply workflow for franchises and multi-location businessesseo/google-review-reply-for-franchises
Comparison intentBirdeye alternative for Google review repliesseo/google-review-reply-vs-birdeye
Comparison intentPodium alternative for AI review repliesseo/google-review-reply-vs-podium
Research intentWhat data shows which Google review replies should be approved by a human?research/review-reply-benchmark

Download the prompt tracker JSON.

Monthly scoring fields

The JSON includes dated observation slots for the current baseline. They are intentionally marked as not yet collected until the monthly GEO audit records live model outputs.

How results should be interpreted

A single AI answer is not a reliable ranking result because answer engines vary by time, location, personalization, retrieval index, and prompt wording. The tracker should be read as a trend over repeated monthly checks. A useful improvement is not one lucky mention; it is a sustained increase in brand mentions, source citations, and accurate summaries across the same prompt set. When a competitor is cited and Local Review Reply is not, the next action should be specific: improve the target page, add original data, clarify pricing, strengthen internal links, or create a better comparison answer.

Frequently asked questions

Why track prompts instead of only clicks?

AI answers can mention or cite a brand without sending a website visit, so prompt-level citation tracking catches visibility that analytics tools may miss.

How often should the prompt set run?

Monthly is enough for early tracking. Weekly checks can be added after the site starts earning citations or meaningful impressions.

Can the prompt set change?

Yes, but changes should be logged so month-to-month movement is not confused with a measurement change.

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