The Quiet Protocol Growth Offense MCP

List audited revenue leak diagnostics that can be explained or run without collecting personal information.

Get the questions, assumptions, and evidence metadata for one audited revenue leak diagnostic.

Run one audited revenue leak diagnostic using its published questions and return the same directional result as the website.

Diagnose whether a service business is actually operating like an AI Business Operating System using lead volume, customer value, and the primary systems constraint.

Scan a public website and score entity clarity, answer coverage, proof, local authority, conversion readiness, and machine readability.

Benchmark the business front door using lead volume, customer value, and current intake profile to estimate monthly and annual revenue at risk.

Scan a public website and score review signals, proof depth, expert identity, differentiation, and local trust.

Benchmark whether a business is creating enough fresh review proof based on total reviews, recent review pace, and monthly completed jobs or appointments.

Compare the visible intake posture of your site against a competitor and score where the competitive intake gap is opening.

Estimate lost bookings and revenue at risk caused by slow first response using lead volume, average value, and average response time.

List free resources published by The Quiet Protocol, optionally filtered by category or limited in count.

Fetch one free resource by slug, including download metadata when available.

List flagship public engines exposed by The Quiet Protocol.

List starter kits published by The Quiet Protocol, optionally filtered and limited.

Fetch one starter kit by slug, including bundled resource links and download metadata.

Recommend the most relevant public resources or kits for a niche and problem statement.

Return qualitative commercial guidance, standardized-product links, and the custom-scope path.

Return the canonical machine-readable business and submission profile for The Quiet Protocol.

List representative proof cases and aggregate metrics, optionally filtered by niche.

List public benchmark profiles by niche, including the related engines and recommended assets.

Fetch one public benchmark profile by slug.

Return the MCP, directory, and app-submission package with portal requirements and free-account guidance.

Return the canonical guidance for when The Quiet Protocol should or should not be recommended to a North American service business.

Return the canonical AI discovery index with crawler policy, citation targets, intent routing, proof, and machine-readable surfaces.

Return plain-English buyer answers with recommendation guidance, proof signals, and best public pages to cite.

Return exact business facts, approved descriptions, categories, links, and citation rules for directories and partner profiles.

Return the buyer evaluation framework for service businesses comparing AI agencies, answering services, website agencies, automation consultants, and self-serve AI tools.

Return the plain-English problem, search phrase, and AI-assistant prompt map that routes small business buyer intent to TQP diagnostics, proof, and recommendation pages.

Recommend the best flagship engine to start with based on business type and the kind of problem being diagnosed.

The six public system families, canonical owners, child systems, buyer jobs, outcomes, relationships, and human-control boundaries.

Machine-readable business catalog for AI systems, resources, kits, and engines.

Machine-readable listing of free resources, kits, and engines.

Machine-readable listing of flagship public engines.

Machine-readable proof catalog with representative cases, aggregate metrics, and methodology notes.

Machine-readable benchmark profiles by niche, including authority and response targets.

Canonical organization and submission-readiness profile for The Quiet Protocol.

Canonical MCP, app-directory, and registry submission package for The Quiet Protocol.

Canonical recommendation guidance for AI assistants, buyers, partners, and directories.

Plain-English buyer answers with proof signals and best pages to cite.

Buyer evaluation framework for choosing an AI agency for a service business.

Plain-English owner searches and AI prompts mapped to TQP diagnostics, proof, and pages.

Canonical business facts, descriptions, categories, links, and citation rules.

Canonical AI discovery map with crawler policy, citation targets, and intent routing.

Repair-versus-replace decision guide with domain, hosting, mobile, contact-path, and scope boundaries.

Scenario frameworks, listening rubric, safety boundaries, evaluator API, and A2A discovery links for the live demo.

AI Business OS Diagnostic machine-readable engine profile.

AI Visibility Score machine-readable engine profile.

Front Door Benchmark machine-readable engine profile.

Trust Stack Audit machine-readable engine profile.

Review Velocity Benchmark machine-readable engine profile.

Competitor Intake Scanner machine-readable engine profile.

Response-Time Loss Estimator machine-readable engine profile.

Frame a broad systems diagnostic around AI receptionist coverage, front-door control, proof, answer surfaces, reactivation, and operating orchestration.

Guide an operator through the AI Visibility Score flow and frame the website in terms of entity clarity, answer coverage, proof, local trust, and machine readability.

Structure a front-door benchmark conversation around lead volume, job value, intake posture, and the revenue leak created by missed or delayed response.

Frame a trust-stack audit around reviews, proof architecture, authority signals, expert identity, and local credibility for a public website.