Entity Level Authority publishes case studies documenting how the AI Search Visibility methodology has been applied. The first case studies in this collection document ELA applying the methodology to its own site as proof-of-method. Future case studies will document plaintiff trial firm client engagements.
These proof-of-method studies show how ELA applies its methodology to its own site; they are not guarantees of AI citations, AI recommendations, traffic, leads, or client outcomes.
Entity Level Authority applied its own methodology to entitylevelauthority.com over a single day of focused remediation work. The case study details what was addressable, what was deferred, and what AI systems can now see that they could not see before.
Documents the architectural work between May 2 and May 16, 2026. The score moved 65 → 69 — a smaller gain than Phase 1, for reasons that clarify the structure of AI visibility itself.