Products
Products for measurable support-and-answer systems
Blue Ninja Systems helps a business turn its website and knowledge into an approved, continuously monitored support system with diagnostic proof, source-grounded content, public publishing, monitoring, and outcome reports.
Operating Loop
Diagnose, build, approve, publish, monitor, and report
The product is not a collection of disconnected dashboards. Each module exists to move a business through one support-and-answer loop with visible proof and a next action.
Diagnose
What is missing from the current website and support base?
Run crawler, support-surface, schema, answer-readiness, and confidence checks.
Evidence: Inspectable diagnostic report shape with measured findings and bounded recommendations.
Build
What should be created first?
Turn approved source material into support hubs, answer pages, taxonomy, and build tasks.
Evidence: Demo support center with public hubs, answer paths, metadata, search, and escalation paths.
Approve
How do we prevent unsupported answers from going live?
Gate generated artifacts with QA thresholds, source-grounding checks, diff review, and approval state.
Evidence: Authenticated approval workflows with source maps and live-vs-proposed review.
Publish
What changed after launch?
Publish versioned support snapshots and retain changelog visibility for public review.
Evidence: Public sample changelog with live/archive status, hub coverage, artifact counts, and version links.
Monitor
Are customers and answer engines seeing better answers?
Track LLM Presence, EchoScan narrative signals, support feedback, drift, and monitor actions.
Evidence: Monitoring evidence is implemented in authenticated workflows and bounded in the proof package.
Report
Which outcomes are proof-grade, directional, or missing?
Package revenue attribution, support publishing, QA, feedback, deflection inputs, and LLM Presence into outcome reports.
Evidence: Outcome claims stay labeled by evidence strength until connected tracking, order, and support data prove them.
Module Map
What each product module owns
EntityMesh builds the answer system. Support Hub publishes it. EchoScan and LLM Presence monitor answer visibility. RevenueLoop and outcome reports connect the work to confidence-labeled business signal.
Build system
EntityMesh
Turns website and knowledge inputs into structured support hubs, answer pages, taxonomy, and approved build work.
Boundary: Public samples show product shape; customer builds require source approval and publish verification.
Customer-facing answer surface
Support Hub
Publishes searchable, versioned, crawlable support centers with escalation paths and aggregate feedback loops.
Boundary: A support center is proof only after owner approval, quality gates, and production verification.
Narrative measurement
EchoScan
Measures brand and competitor framing across controlled prompts and turns gaps into build priorities.
Boundary: Measures defined prompt/provider outputs; it does not claim proprietary answer-engine ranking access.
AI answer monitoring
LLM Presence
Runs configured prompt sets, tracks provider visibility, sentiment, recommendation strength, and alerts.
Boundary: Visibility is measured only for configured providers, prompts, and runs.
Attribution and lifecycle signal
RevenueLoop
Links first-party tracking and customer-revenue orders to source-label and confidence-bound attribution reports.
Boundary: Direct and assisted rows are proof-grade; inferred rows are directional and unknown rows are unattributed.
Customer proof package
Outcome Reports
Combines revenue attribution, support QA/publishing, feedback, deflection inputs, LLM Presence, and monitor actions.
Boundary: Reports separate proof-grade, directional, insufficient, and unavailable signals.
Inspectable Proof
See the system shape before you buy
This demo uses safe sample content, but it is rendered by the same hosted support-center surface used for published support snapshots.
Guided path
5 sample stages
Boundary: Public sample
Guided demo path
Follow the sample journey from intake and diagnostic proof to support publishing and monitoring boundaries.
Evidence ledger
Sample vs customer proof
Boundary: Claims separated
Proof package
Separate public sample evidence from authenticated workflows and data-dependent outcome claims.
Support center
Published sample hubs
Boundary: Safe sample content
Demo support center
Inspect hubs, search, support paths, escalation, feedback controls, and approved-answer structure.
Diagnostic shape
Readiness findings
Boundary: Directional sample
Diagnostic report shape
Preview measured findings, readiness checks, proof boundaries, and conversion-to-project context.
Version record
Live and archived snapshots
Boundary: Immutable links
Version changelog
Review live and archived sample snapshots with hub coverage, artifact counts, and version links.