EntityMesh measures results with three honest instruments: a before/after MeshScore on your own domain, AI presence monitoring through EchoScan and LLM Presence, and outcome reports that label every figure by confidence. The before/after MeshScore is the primary measure of the build's impact — the same scan runs before and after publish, so the delta isolates what changed on your site rather than comparing you to an unrelated benchmark. Monitoring then tracks your Share of Model Voice over time: whether AI engines mention you, and which competitors appear instead. Outcome reports tie it together and, critically, mark each result as proof-grade, directional, or not yet measured — EntityMesh never presents inferred or unverified numbers as proof, and never fabricates metrics. Revenue attribution through RevenueLoop is only called proof-grade once your first-party tracking and order data are connected and reviewed. The whole measurement philosophy is to show what the work moved without overstating it, because honest measurement is what makes the numbers worth anything.
The before/after MeshScore on your own domain is the primary metric
The before/after MeshScore on your own domain, backed by AI presence monitoring. Improvement on your own site is the honest measure — not a raw score compared to others.
EntityMesh positions content to be cited but never guarantees rankings
No. It positions your content to be cited and monitors the result; it never guarantees rankings or citations, and never fabricates numbers. Start with a free diagnostic.