EntityMesh is one platform built around a single operating loop:
- Diagnose -> Diagnostic
- Build -> EntityMesh AutoBuild
- Improve -> Compass
- Monitor -> EchoScan Monitoring
This is the core model behind the Support Hub + Answer Hub system. The goal is not to publish random pages. The goal is to build a repeatable content and structure engine that stays useful over time.
What is inside this section
This category explains:
- What each module does.
- What each module does not do.
- How outputs move from module to module.
- Where human review and approval are required.
Start here
- 1Review How does EntityMesh work?
- 2Review What does AI-ready support content mean?
- 3Read How to structure a support center for discovery (IA-first)
Module flow in practice
Diagnose (Diagnostic)
The Diagnostic inventories current support surfaces, identifies missing coverage, and surfaces friction points in structure and findability. In Lead-Gen mode this is lightweight and directional. In deeper client mode this creates build-ready inputs.
Build (EntityMesh AutoBuild)
The AutoBuild turns scanner findings into structured drafts: hub IA, page types, navigation tiers, and starter templates. It does not replace review. It accelerates structured setup.
Improve (Compass)
Compass generates execution artifacts: topic maps, linking rules, schema checklists, and backlog plans. This is what keeps the system maintainable after initial launch.
Monitor (EchoScan)
EchoScan uses controlled prompt sets and configured APIs to monitor mention/framing trends over time. This is not rank tracking inside LLM products. It is a structured signal loop for content planning.
Top Answer Hub pages
- How does EntityMesh work?
- What is EntityMesh?
- Does EntityMesh guarantee ranking or AI citations?
- What is AEO and how is it different from SEO?
- What is GEO and how is it different from SEO?
Top KB guides
- How to build a topic map from repeated customer questions
- Schema guidance by page type (FAQPage vs HowTo vs Article)
- How to structure a support center for discovery (IA-first)
Learning paths
Related support categories
Detailed implementation notes
Use this category as a routing layer, not a document dump. Each linked page should answer a specific intent stage and should clearly define what users should do next. If this category starts collecting overlapping pages, prune duplicates and tighten category boundaries.
For maintenance, schedule periodic checks:
- verify top linked pages are still current,
- confirm terminology consistency,
- and update start-here recommendations based on the latest support patterns.
A strong category landing page should reduce navigation uncertainty in the first 30 seconds of user interaction.
Category QA checklist
- Start-here sequence is current and actionable.
- Top answers reflect real repeated questions.
- Top guides reflect current workflows.
- At least one relevant learning path is linked.
- Category notes are aligned with truth-safe claims.