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Articles and Strategy Notes

This section adapts core RF content into English for `.com`: AI discoverability, machine-readable company profiles, trust and protocol layers, and practical rollout strategy for businesses.

Research

How businesses lose clients when AI answers instead of websites

Zero-click and AI summary behavior changes where demand is won or lost.

AI Search

How LLM and agent search differs from classic keyword search

Task intent, semantic fit, trust context, and machine structure become part of retrieval quality.

Playbook

What to do when clients go to ChatGPT before Google

A practical migration from page-first visibility to profile-first machine readability.

llms

llms.txt for websites: practical value and hard limits

Why one file helps but cannot replace canonical profile and protocol endpoints.

Visibility

How to make a site understandable for AI systems

Representation layer, canonical profile, and agent-readable contracts in a lightweight rollout.

Entity Layer

Machine-readable company profile as official AI entity

Difference between a visual website and a canonical business object for agents.

Protocol

Permissions manifest and protocol layer basics

Structured access, source-of-truth guarantees, and stable paths for integrations.

Installation

Where to place agenthub.json and llms.txt correctly

Preferred and fallback paths with verification flow to ensure AI can read your entrypoint.