Key Concepts

Essential concepts to understand AIDP.

AIDP Ecosystem

AIDP Ecosystem Overview

How it works:

  1. Businesses publish structured data to AIDP Platform

  2. AI Assistants access data via MCP servers

  3. Consumers discover businesses through AI conversations

  4. Platform tracks upstream metrics and provides analytics

Core Concepts

Business Profile

A structured representation of a local business optimized for AI understanding.

Includes:

  • Basic information (name, category, description)

  • Location and service area

  • Services and pricing

  • Availability and hours

  • Media (photos, videos)

  • AI-exclusive content

  • Trust signals (verification, reviews)

Learn more →

AI-Exclusive Content

Content specifically designed for AI platforms that isn't available elsewhere.

Examples:

  • Insider Tips: "Ask for the Ethiopian Yirgacheffe - not on menu"

  • Local Secrets: "We source beans directly from Colombian farmers"

  • Behind the Scenes: "We roast every Tuesday morning"

  • Sustainability: "100% compostable packaging"

Why it matters: Helps businesses differentiate and provides value to AI users.

Learn more →

Analytics & Metrics

Analytics that track AI visibility and complement traditional metrics.

Traditional Analytics: Start at the click AIDP Analytics: Track citations, API calls, and click-throughs

What we can measure:

  • Citations: When AI platforms quote or reference your business

  • API Calls: When AI platforms access your profile data

  • Click-Throughs: When citations lead to website visits

  • MCP Tool Invocations: When AI platforms use MCP tools to access your data

Note: True "impressions" (mentions in AI responses) require cooperation from AI platforms. We track what we can measure - see analytics capabilitiesarrow-up-right for details.

Learn more →

Intent Journey

The conversational path from first mention to conversion.

Example Journey:

Tracked data:

  • Initial query

  • Refinements

  • Citation moments

  • Time to conversion

  • Touchpoints

Learn more →

MCP (Model Context Protocol)

An open standard for connecting AI assistants with external data sources.

Think of it as: "USB-C for AI"

How it works:

  1. Business exposes data via MCP server

  2. AI platform connects to MCP server

  3. AI can query business data in real-time

  4. Structured responses enable actions (booking, etc.)

Learn more →

AIDP Schema

The open standard defining how business data should be structured for AI platforms.

Components:

  • Entity schemas (Business, Booking, Review, etc.)

  • MCP tool catalog

  • Validation rules

  • Migration guides

Governance: Community-driven with Steering Committee

Learn more →

Technical Concepts

Protocol-Agnostic

AIDP works with any AI protocol, not just MCP.

Supported protocols:

  • Model Context Protocol (MCP)

  • ChatGPT Plugin API

  • REST APIs

  • GraphQL

  • Custom protocols

Benefit: Future-proof as AI protocols evolve

Business-Controlled Data

Unlike platform-locked data, businesses own their AIDP data.

Characteristics:

  • Portable across platforms

  • No vendor lock-in

  • Direct relationships with AI platforms

  • Export anytime

Verification Levels

Trust signals indicating business legitimacy.

Levels:

  • Basic: Email verified

  • Certified: Business documents verified

  • Elite: Enhanced verification + track record

Benefits: Higher visibility, trust signals, priority in results

Learn more →

Free Forever Model

AIDP is completely free during beta with all features unlocked.

Everything Included:

  • Full business profile with AI-exclusive content

  • Complete analytics suite (upstream metrics, intent journeys)

  • Unlimited API access

  • All MCP tools and integrations

  • Community support

No Limitations:

  • No credit card required

  • No trial period

  • No feature restrictions

  • No hidden costs

Learn more →arrow-up-right

User Roles

Business Owner

Creates and manages business profiles.

Can:

  • Create/update profile

  • Add services and pricing

  • Manage bookings

  • View analytics

  • Respond to reviews

Getting started →

Consumer

Discovers businesses through AI assistants.

Can:

  • Search businesses

  • View profiles

  • Make bookings

  • Submit reviews

  • Access exclusive content

Developer

Builds on AIDP Schema or integrates with platform.

Can:

  • Use AIDP API

  • Implement MCP servers

  • Create integrations

  • Contribute to schema

Developer docs →

AI Platform

Integrates AIDP for business discovery.

Can:

  • Connect via MCP

  • Query business data

  • Enable bookings

  • Track analytics

Integration guide →

Workflow Concepts

Onboarding

Process of setting up a business profile.

Steps:

  1. Create account

  2. Basic information

  3. Services and pricing

  4. AI-exclusive content

  5. Media upload

  6. Review and publish

Time: ~30 minutes

Onboarding guide →

Booking Flow

Process of making a reservation.

Steps:

  1. Check availability

  2. Select time slot

  3. Provide customer info

  4. Confirm booking

  5. Receive confirmation

Integration: Native via MCP or API

Booking API →arrow-up-right

Review Workflow

Process of submitting and managing reviews.

Steps:

  1. Consumer submits review

  2. Moderation (if needed)

  3. Review published

  4. Business can respond

  5. Aggregated in ratings

Review system →arrow-up-right

Glossary

AIDP: AI Discovery Platform MCP: Model Context Protocol Upstream Metrics: Pre-click visibility tracking Intent Journey: Conversational path to conversion Zero-Click: Impression without click Citation: AI quoting/referencing business Boost Signals: Keywords for AI ranking Exclusive Content: AI-only business information

Full glossary →

Next Steps

Last updated