How RankEcho measures AI search visibility
RankEcho runs a fixed set of buyer-intent prompts across AI engines, parses whether your brand is mentioned or cited, identifies competitors and sources, and re-tests the same prompts after fixes ship.
What RankEcho measures
RankEcho measures citation rate, mention rate, prompt share, source coverage, competitor replacement, and off-site citation dependence. The goal is to show not just whether you appear, but which prompts and sources control your visibility.
How prompts are selected
Prompt sets are built around buyer intent: category prompts, comparison prompts, alternative prompts, use-case prompts, and problem-solution prompts. The prompt battery is held fixed for re-tests so movement can be interpreted.
Which engines are checked
RankEcho is designed around ChatGPT, Claude, Perplexity, Google AI Overviews, Gemini, and Copilot where available. Engine availability depends on configured APIs and public access.
How citations are parsed
For each AI response, RankEcho identifies brand mentions, competitor mentions, cited source domains, cited pages, and whether the citation comes from your owned site or a third-party source.
How the Fix Engine works
A fix package can include a front-loaded answer block, FAQ or Article schema, llms.txt guidance, AI crawler access checks, a content brief, and an off-site source plan.
How proof works
RankEcho compares the baseline response to scheduled re-tests using the same prompt. It reports movement as controlled correlation with confidence notes, not an absolute causal guarantee.
Known limitations
AI answers vary by engine, location, time, personalization, and retrieval state. RankEcho is a measurement and optimization system, not a guarantee that a model will cite a page every time.
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