A different kind of AI-visibility tool: monitor vs. fix-and-prove
Most AI search visibility tools monitor — they show you a citation score and competitor comparison. RankEcho is built around the next step: it generates the specific fix for each gap (schema, answer block, llms.txt, content brief, off-site play) and then re-tests the prompt to prove the citation appeared.
What do monitoring tools do well?
They give you visibility metrics — citation rate, share of voice, and competitor tracking across engines. That's necessary, and it's where the category started.
What's the gap they leave?
Knowing you're invisible doesn't tell you which change to make or whether it worked. The hard, valuable work is turning a gap into a shippable fix and verifying impact with a before/after re-test. That closed loop is what RankEcho adds on top of monitoring.
Frequently asked questions
Yes — the free audit measures citation rate, share of voice, and gaps across engines. The paid plans add the Fix Engine and the Proof loop on top.
We re-run the exact prompt on a schedule and compare the citation rate before and after your change, distinguishing fast retrieval effects from slow training effects. It's correlation with controls, not a causal guarantee.