When buyers ask AI who to trust in your category —are you the answer?
Most brands rank in Google but stay invisible to AI answer engines. EntityMesh builds the approved, structured answer infrastructure that makes your business citable by AI engines and search — a system you own and monitor over time, not an agency retainer.
SEE THE OUTPUT
An example of what your scan produces
Sample MeshScore
Diagnose → Build → Approve → Publish → Monitor. Watch the score move.
EchoScan preview — sample
IllustrativeYour brand: not detected
Appeared instead
When buyers ask AI who to use, competitors get named and you don't. EntityMesh builds the approved, structured answers that make engines cite you instead.
Watch the score move — then own why.
The diagnostic scores three weighted components, shows exactly where AI can't read you, and — when buyers ask an engine who to use — reveals whether it named you or your competitors. Every number is inspectable; nothing is fabricated.
Retrievability, Accuracy, Citation Authority — the three components that compute your 0–100 MeshScore.
EchoScan checks the answer engines and shows who gets named for your buyers' questions.
Approval-gated build closes the gap — you review every answer before it publishes.
The SEO 3.0 Stack
- 04
Citation Authority
EntityMeshllms.txt, internal linking, consistency signals
- 03
Answer Structure
EntityMeshQuestion-led headings, short direct answers, support hub
- 02
Structured Data
EntityMeshschema.org / JSON-LD so engines can classify content
- 01
Technical Discoverability
EntityMeshCrawlable, rendered HTML, robots/sitemap, AI-crawler access
EntityMesh builds layers 1–4 (the infrastructure); EntityAgent addresses layer 5; EchoScan monitors how AI engines respond to the whole stack.
PUBLIC PROOF PACKAGE
Inspect the evidence before the sales conversation.
Every outcome is labelled proof-grade, directional, or not yet measured — so claims stay honest while the system's real shape is on the table.
4 public artifacts
A guided demo, a sample diagnostic, a live sample support center, and its changelog — no signup.
You approve everything
Every answer EntityMesh drafts stays a draft until you approve it and it clears the quality checks.
Your MeshScore
The free scan returns a directional MeshScore baseline — labelled directional, never presented as proof.
Deflection + revenue
Self-service deflection and revenue signal stay not yet measured until your sources connect.
WHAT WE BUILD
Support Hubs Built to Be Inspected
Three specialized systems designed to make support content clearer, more crawlable, and easier to measure
Search-Optimized Support
Support architecture mapped to buyer and customer questions, with crawlable pages, metadata, and approval history.
Learn MoreAI Answer Engine Ready
Source-grounded content, schema, and monitoring built for answer-engine readability without claiming proprietary ranking access.
Learn MoreSelf-Service That Converts
Learning paths and support answers designed to help evaluators self-serve, with deflection and revenue claims measured only when source data is connected.
Learn MoreTHE PROBLEM
Most websites are invisible to AI engines
Your customers ask AI for answers, and engines summarize whatever they can crawl. If your support content is thin, unclear, or hard to read, you lose control of the answer — and the citation goes to someone else.
The cost of invisibility
- Potential customers can't find your answers
- AI engines cite your competitors instead
- Support tickets pile up with the same questions
- Evaluators churn because they can't self-serve
- Founders become the bottleneck for every answer
HOW IT WORKS
One loop. Visible proof. No guesswork.
The same operating loop runs from first diagnostic to approved answers, public support, monitoring, and outcome reports.
WHO IT'S FOR
Built for how you sell AI visibility
For Agencies
Resell citable-infrastructure builds under your brand, with wholesale pricing and a multi-client dashboard.
See howFor Builders
You shipped your site with AI. Make it visible to AI — schema, answer structure, and a citable support hub.
See howFor Local Businesses
Be the answer when customers ask AI for a trusted local business — NAP, service-area schema, and monitoring.
See how