Competitor Radar
Competitor Radar shows which competitors AI names and cites instead of you, on which prompts, and which sources make them visible. It turns a vague worry that rivals are winning AI answers into a specific map: who is recommended where, how favorably, and what is driving it — so you can target the displacement that matters most.
Who AI recommends instead
For every prompt you track, Competitor Radar records the brands AI names and cites, builds a leaderboard of who appears most, and notes how each is framed — recommended, merely listed, or cautioned. That tells you not just that you are losing, but exactly who you are losing to and on which buying questions.
Why they are winning
A rival rarely wins by accident. Radar surfaces the sources behind a competitor's visibility — the review pages, roundups, comparison articles, and threads the engine drew on. Often the gap is not your site at all but the third-party corroboration the engine trusts, and seeing that points you at the real fix.
Brand mining
Radar only counts real competitors. RankEcho's mining filters out common words, the AI engines themselves, and reference or government sources, so the leaderboard reflects actual rival brands rather than noise. A clean, short leaderboard is more useful than a long, junk-filled one.
From radar to displacement
Knowing who to displace is the input to a plan. Each competitor gap flows into the Fix Engine as a specific play — a stronger answer on the right page, a comparison page, or an off-site source to pursue — and into the Proof Loop to confirm whether the named brand actually changed after you shipped.
Frequently asked questions
It seeds from competitors you specify and discovers others from the brands AI actually names in your prompts, filtering out noise so the leaderboard reflects real rivals.
Yes. Radar surfaces the sources behind each competitor's visibility, which usually reveals whether the gap is on your own site or in third-party corroboration.
No — it means they currently appear for that prompt. The point is to target the fix; AI answers change as the underlying sources and your content change.