AI search visibility: measure, fix, and prove it
AI search visibility is how often AI engines cite or recommend your brand when buyers ask questions. You measure it with citation rate and share of voice, and you improve it with a closed loop: find the gaps, ship a specific fix, and re-test to prove the citation appeared.
Why does AI search visibility matter now?
A growing share of buyers research and shortlist products through AI answers, and AI-referred visitors tend to convert at several times the rate of ordinary organic traffic. Being absent from the answer means being absent from the consideration set.
What are the two metrics that matter?
Citation rate is the percentage of relevant prompts where your brand appears. Share of voice is your appearances relative to competitors. Together they tell you both whether you're visible and whether you're losing to someone specific.
Monitoring isn't enough
Most tools stop at a dashboard. The value is in closing the loop: turning each gap into a concrete change you can ship, then re-running the prompt to verify the change worked. That before/after is the only honest proof of impact.
Frequently asked questions
Run a battery of buyer-intent prompts across ChatGPT, Perplexity, Google AI, and Claude, and check which cite your domain. RankEcho's free audit does this in about a minute.
No. You can rank well in Google and still be uncited in AI answers, because AI engines select and synthesize sources differently.