How RankEcho works

What the audit checks

RankEcho asks ChatGPT, Claude, Perplexity, and Google AI the buyer-intent questions for your domain, then parses which sources each engine cited. It reports your citation rate, share of voice, a gap map of the prompts where you're absent, and which competitor was cited instead.

It also flags whether AI crawlers can even reach your site — a blocked crawler is the most common reason a brand is invisible.

What's in a fix

Each gap becomes a concrete, shippable package — not vague advice:

• A front-loaded answer block written to be extracted and cited.
• JSON-LD schema (FAQPage or Article) wrapping that answer.
• An llms.txt suggestion and an AI-crawler access check.
• A content brief targeting the exact prompt and its fan-out sub-queries.
• An off-site playbook — the third-party pages AI already cites, and how to get mentioned there.

How the proof works

After you ship a fix, RankEcho re-runs the same prompt on a schedule and compares your citation rate before and after on a fixed prompt set. It separates fast retrieval effects (24–72 hours) from slow training-recall effects (weeks to months) and grades confidence by sample size.

This is correlation with controls — a strict pre/post split on a held-fixed prompt — not a causal guarantee. It is still far more than a moving score on a chart.

What you actually get

A ranked list of where to focus, the artifacts to ship for each, and verification that the change worked. The free audit is open to everyone; the Fix Engine and Proof loop are on the paid plans.

Frequently asked questions