Support Center
Welcome to the Blue Ninja Systems Support Center. Find direct answers to your questions about EntityMesh, get step-by-step guides, explore learning paths, and submit a ticket if you need hands-on help.
Knowledge Base
Workflow guides and implementation references for operating EntityMesh.
Workflow-depth guides for structure, publishing, schema, and ongoing support operations.
EntityMesh Pre-Build Checklist
A practical checklist for preparing source material, reviewers, buyer questions, public-private boundaries, and expectations before an EntityMesh build.
EntityMesh: How to Turn Your Auth Graph Into Live Infrastructure
How EntityMesh turns an Authority Infrastructure Graph into public, crawlable, approval-gated knowledge assets that support AI search visibility and agent readiness.
How to build a topic map for AI authority
A topic map is the architecture that tells AI systems which questions your brand owns. This guide explains how to build one that drives AI citations, search visibility, and buyer conversion.
How to build a topic map from repeated customer questions
Build a practical Answer Hub topic map using repeated support questions, intent clustering, and publish-priority scoring.
How to design an Answer Hub for buyer conversion
An Answer Hub is the most powerful conversion asset most brands don't have. This guide explains how to design one that answers buyer questions, wins AI citations, and drives evaluation-to-purchase conversion.
How to design learning paths that reduce churn and refunds
Design sequenced learning paths that improve onboarding clarity, reduce confusion, and support retention outcomes.
How to gather source material for an EntityMesh build
A practical pre-build guide for collecting approved pages, answers, proof, policies, terminology, support questions, sales objections, and reviewers before an EntityMesh build.
How to implement schema markup for AI-ready content
A step-by-step guide to implementing BreadcrumbList, FAQPage, HowTo, Article, and DefinedTermSet schema markup so AI answer engines and search engines can understand, trust, and cite your content.
How to run a manual prompt visibility audit
A repeatable, operational workflow for checking how AI systems describe your brand, competitors, category, and sources, using a stable prompt set and confidence labels.
How to set up first-party tracking for RevenueLoop
A step-by-step guide to installing Blue Ninja first-party tracking, connecting Stripe, and verifying that attribution confidence scoring is working correctly.
How to structure a support center for discovery (IA-first)
A complete IA-first workflow for designing a support center that improves findability, answer resolution, and maintainability.
Schema guidance by page type (FAQPage vs HowTo vs Article)
Conceptual schema strategy for support content page types with truth-safe implementation guardrails.