Knowledge Base
Implementation guides for AI visibility protocols
Learn how to make your website discoverable by AI, ready for agentic commerce, and optimized for AI citations. Each guide includes code examples and step-by-step instructions.
What is llms.txt and How to Create One
Learn what llms.txt is, why it matters for AI visibility, and how to create one for your website with code examples.
Configuring robots.txt for AI Crawlers
How to configure your robots.txt to allow AI crawlers like GPTBot, ClaudeBot, and PerplexityBot for maximum AI visibility.
Schema.org Markup for AI Visibility
How to implement Schema.org JSON-LD markup that helps AI systems understand your content for better citations.
Getting Started with MCP (Model Context Protocol)
How to implement the Model Context Protocol to let AI agents discover and use your APIs and tools.
Universal Commerce Protocol (UCP) by Google
Overview of Google's Universal Commerce Protocol for enabling AI agents to browse and transact in online stores.
Agentic Commerce Protocol (ACP) by Stripe & OpenAI
How the Agentic Commerce Protocol enables AI agents to complete purchases securely using Stripe infrastructure.
Writing BLUF Content for AI Citation
Learn the BLUF (Bottom Line Up Front) writing technique that AI models prefer to cite and quote in their responses.
Structuring FAQ Content for AI
How to structure FAQ content with Schema.org markup and writing patterns that maximize AI citation.
AI Discovery Protocol (ADP) Overview
A comprehensive guide to the AI Discovery Protocol, the framework for making your website fully discoverable by AI systems.
Implementing ai-discovery.json
How to create an ai-discovery.json file that tells AI systems who you are, what you do, and how to interact with your site.
Building Your Knowledge Graph
How to create a knowledge-graph.json that maps your site's entities, relationships, and expertise for AI systems.
Creating an AI-Optimized Sitemap
How to structure your sitemap.xml to help AI systems prioritize and understand your most important content.
TDM Rights Reservation for AI Training
How to use the W3C TDMRep specification to declare your content's text and data mining rights for AI training.
Real-time AI Agent Communication with SSE
How to implement Server-Sent Events (SSE) for real-time, streaming communication between your services and AI agents.
A2A Protocol: Agent Discovery with agent.json
How to implement the A2A protocol's agent.json to make your AI agents discoverable by other agents.
Configuring agents.json for AI Agents
How to create an agents.json file that declares your site's agentic capabilities to AI systems and developer tools.
Product Schema Markup for AI Commerce
How to implement Product schema markup so AI shopping agents can understand your products, prices, and availability.
Agentic Commerce: Enabling AI Purchases
A strategic overview of agentic commerce — how to prepare your business for AI agents that browse, compare, and buy on behalf of users.
Adding Verifiable Statistics for Citation Authority
How to include statistics with clear sources to increase your content's authority and AI citation rate.
Why Content Freshness Matters for AI
How content freshness signals affect AI citation rates and strategies for keeping your content current.