EntityMesh's strongest proof is that the methodology was built and validated on Soniteq — our own music-software company — before it was ever sold as a product. Applying the approach to Soniteq produced AI citations for its products before public launch, and soniteq.ai/answers is a live, public EntityMesh-built answer hub you can inspect today. That is honest proof with a boundary: it is us proving the method on ourselves, which is legitimate but not the same as a large portfolio of external case studies, and we say so plainly. Beyond Soniteq, every diagnostic scan contributes to an anonymized dataset on how citable sites are across industries, which is accruing toward a published benchmark. We deliberately do not publish fabricated before/after numbers or claim proprietary access to how any AI engine ranks — when we show a result, it is labelled proof-grade, directional, or not yet measured. The most direct proof for your own situation is a before/after MeshScore on your domain, which the diagnostic begins. External case studies are in progress and will publish with client permission.
The methodology was proven on ourselves first
EntityMesh was applied to Soniteq before it was a product; the live answer hub at soniteq.ai/answers is inspectable evidence, not a claim.
Proof is labelled honestly, never fabricated
Every result is marked proof-grade, directional, or not yet measured. EntityMesh does not invent metrics or claim access to engine ranking internals.
Your own before/after MeshScore is the most direct proof
The honest measure for your business is the change on your own domain — which the free diagnostic starts by establishing your baseline.