RankEcho measures how AI systems understand, cite, rank, and recommend your brand — then turns each visibility gap into a concrete fix and proof loop.
Run a fixed battery of buyer-intent prompts across AI engines and identify where your brand is cited, ignored, or replaced.
Map the category, comparison, alternative, and use-case prompts that shape buyer recommendations.
Track mentions, citations, source domains, and share of voice across ChatGPT, Claude, Perplexity, Gemini, and AI Overviews.
See which competitors AI recommends instead and which sources make them more visible.
Separate owned-site citations from third-party sources like reviews, Reddit, roundups, and category pages.
Understand how AI connects your brand to topics, competitors, categories, and decision criteria.
Turn each gap into a shippable package: answer block, schema, content brief, crawler fix, and off-site play.
Re-test the same prompt after a fix ships and show baseline-to-live citation movement with confidence notes.
Give founders, marketing teams, and agency clients a clear proof report instead of a vague score.