Professional services · local
Local business case study
MeshScore before
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MeshScore after
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Key change: Structured answer hub + approved FAQ coverage for high-intent local questions.
Client quote will appear here once the study is published.
Proof
See what we can prove — before and after your data is connected.
EntityMesh ties every claim to evidence. Explore what you can inspect today — a guided demo, a sample diagnostic, and a live support center — and see exactly what turns a demo into proof for your own site.
Inspect now
4 public artifacts
A guided demo, a sample diagnostic, a live sample support center, and its changelog — no signup.
Nothing auto-publishes
You approve everything
Every answer EntityMesh drafts stays a draft until you approve it and it clears the quality checks.
Measured, honestly
Your MeshScore
The free scan returns a directional MeshScore baseline — labelled directional, never presented as proof.
Unlocks with your data
Deflection + revenue
Self-service deflection and revenue signal stay not yet measured until your sources connect.
How We Measure
The MeshScore methodology
Future case studies may include compatible before/after MeshScore receipts. Here is what the score assesses, what can change between scans, and why a delta is not causal proof by itself.
One score, three components
MeshScore (0–100) blends recorded Retrievability, Accuracy, and Citation Authority signals. These are structural assessment components, not a proprietary engine rank or citation probability.
Measured on your live site
The score comes from completed checks against the submitted public site, not a survey. Live rescans can differ with content, fetch/render coverage, and evidence availability.
Before/after needs comparable evidence
A delta is interpretable only when scan mode, target, coverage, and evidence are compatible. It records change between snapshots but does not by itself isolate the build from other causes.
Case Studies
External evidence is not published yet
These are empty publication templates, not claims that two studies are contracted or complete. A case study will appear only with customer permission, compatible source receipts, disclosed limitations, and approval for the exact public claim.
Coming soon — results pending
B2B software
SaaS / agency case study
MeshScore before
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MeshScore after
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Key change: Candidate scope: reviewed schema and comparison coverage; any provider citation would require a separate captured receipt.
Client quote will appear here once the study is published.
Self-Proof
An inspectable implementation on Soniteq (soniteq.co)
Our own sister company — music-creator software (Kora, Export Flow, Key Shift Pro).
An EntityMesh-style answer hub is live at soniteq.co/answers and can be inspected as implementation evidence. Citation and before/after outcome evidence has not been attached and approved, so this page makes no outcome claim.
MeshScore before
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MeshScore after
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Implementation evidence only · outcomes not yet measured. A before/after MeshScore will appear only after the underlying evidence is archived and approved.
What We Can Prove
Evidence at every stage
Diagnose
Website and support-readiness diagnostic
What does EntityMesh measure before building anything?
The sample diagnostic shows the report format — measured crawl and support checks, kept separate from recommendations and next steps.
Honest limit: This sample shows the format. Your real scores come from scanning your live site and the context you share.
Your next step: Run a free diagnostic on your own domain to see your MeshScore and findings.
Evaluate
No-login guided product tour
Can I see how the product works before I buy?
The public demo walks from intake and diagnostic through support publishing, changelog review, and monitoring — end to end.
Honest limit: The tour uses safe sample data. It shows how the product works, not results for your specific site.
Your next step: Run your own diagnostic, then preview a support hub built from your content.
Publish
Hosted support center
What does the published support system actually look like?
The sample support center shows real hubs, answers, search, feedback controls, metadata, and crawlable public URLs.
Honest limit: Your support center becomes proof only after an authorized approval, a separate explicit publish, and verification on its hosted EntityMesh route.
Your next step: Approve your first hub, explicitly publish its hosted version, and verify the immutable public snapshot.
Review
Version history and immutable review links
Can I see exactly what changed after launch?
The public changelog shows live and archived snapshots, what changed, hub coverage, and permanent version links.
Honest limit: The sample shows the review surface; your changelog fills with your own approved, published snapshots.
Your next step: Publish a change and watch it appear in your changelog with an immutable version link.
Approve
Source-grounded approval workflow
How do you stop unsupported answers from going live?
Approvals run quality gates, block unsupported high-risk claims, show source maps, diff live-vs-proposed, and audit every override.
Honest limit: This lives inside your workspace — you'll see it once your account is set up and you review your first draft.
Your next step: Review and approve your first support answers in your workspace.
Available inside authenticated customer/operator workflows.
Measure
Outcome reports with confidence boundaries
How are revenue and support outcomes kept honest?
Outcome reports separate proof-grade, directional, and unattributed revenue — alongside support QA, feedback, deflection, and monitoring.
Honest limit: Real outcome numbers need your tracking, orders, and support data connected first — then they're defensible.
Your next step: Connect tracking and orders, then review your monthly outcome report before quoting results.
Available inside authenticated customer/operator workflows.
Attribute
RevenueLoop attribution labels
Can revenue be tied back to the support-and-answer system?
RevenueLoop labels direct and assisted rows as proof-grade, inferred rows as directional, and unknown rows as unattributed.
Honest limit: Revenue movement should not be marketed as proof until your first-party tracking and order data are connected and reviewed.
Your next step: Install tracking and connect Stripe or Shopify so attribution appears in your report.
Available inside authenticated customer/operator workflows.
Monitor
LLM Presence and EchoScan monitoring
What happens after you publish?
Monitoring turns provider status, prompt results, answer drift, citation gaps, and score drops into ranked, assignable actions.
Honest limit: We measure responses for the prompts and providers you configure — we never claim proprietary ChatGPT ranking access.
Your next step: Add your own prompt sets and review monthly monitoring actions.
Available inside authenticated customer/operator workflows.
How Proof Works
How a demo becomes proof for your site
Diagnose
We scan your real domain.
An archived scan report with crawl status, support-surface evidence, blockers, and confidence labels.
Who: You + EntityMesh
Source
You confirm what answers can draw from.
Your intake, crawlable pages, approved docs, and clear exclusions for anything we shouldn't claim.
Who: You
Approve
You review every draft before it ships.
Approval records, source-grounding checks, blocked unsupported claims, and live-vs-proposed comparison.
Who: You
Publish
We verify the published support center on its hosted EntityMesh route.
A published snapshot, verification receipt, cache checks, sitemap paths, and a full browser screenshot pass.
Who: EntityMesh
Monitor
Configured monitoring records prompts, providers, feedback, and answer quality after launch.
LLM Presence and EchoScan runs, support feedback summaries, provider health, and assigned actions.
Who: EntityMesh
Measure
You connect first-party data before we quote impact.
Tracking verification, Stripe or Shopify orders, a helpdesk baseline, and a monthly outcome snapshot.
Who: You + EntityMesh
What We Never Claim
Our honesty rules
We never promise guaranteed rankings, guaranteed citations, or guaranteed revenue lift — only what your data shows.
Demo artifacts show how the product works, not results for your specific site.
Every claim is labeled proof-grade, directional, or not yet measured — we never blur the line.
Revenue and support-deflection numbers are only called proof once your connected data backs them up.