EntityMesh maps your Auth Graph, builds public support and answer infrastructure, and monitors whether AI systems understand, cite, and recommend your brand.
The Platform
EntityMesh combines diagnostics, structured build systems, and ongoing narrative monitoring into one platform model. It is designed to replace fragmented tooling and ad hoc support content with a maintained infrastructure loop.
Operating Layers
EntityMesh starts with diagnostic evidence, turns it into an Auth Graph, builds public infrastructure, and monitors what AI systems reflect back.
Step 01 - Scan
The diagnostic produces a MeshScore baseline, detects structural gaps, and identifies the places where buyers and AI systems need clearer public answers.
EchoScan is the monitoring layer inside EntityMesh and is also available as the standalone EchoScan Monitor product.
What You Get
Support Hub, Answer Hub, and Knowledge System are included outputs. Authority Infrastructure is one platform, not separate SKUs.
Your support center architecture: categories, navigation, escalation paths, and self-service flows.
Question-first answer pages designed for buyer-intent queries and AI retrieval contexts.
Deep guides, troubleshooting resources, learning paths, and structured internal references.
Process
Scan
Use the diagnostic scan to find crawl, schema, question coverage, and authority gaps.
Map
Build the Auth Graph before scaling content so every asset has a role.
Build
Publish support hubs, answer hubs, FAQs, glossary pages, and schema-ready assets.
Monitor
Measure SOMV, citation presence, definition drift, and competitor movement with EchoScan.
Deliverables
Case study available; metrics are currently pending validation before publication.
Common Questions
See the full plan ladder, then get started in minutes on entitymesh.io.
