MAKO Makes Websites Understandable To AI Agents
MAKO v1.0 is an open, Apache-2.0–licensed protocol launched to make websites machine-readable for AI agents by serving structured, token-efficient MAKO documents. It provides discovery via .well-known/mako, HEAD metadata to pre-filter relevance, and a six-layer architecture that cuts content tokens by roughly 94% while exposing semantic links, CTAs, and CEF embeddings. Developers can install a WordPress plugin or TypeScript SDK to adopt MAKO immediately.
Key Points
- 1Introduces MAKO v1.0 open protocol that serves structured, token-efficient pages for AI agents
- 2Reduces agent parsing overhead by providing HEAD metadata and content in ~94% fewer tokens
- 3Enables site owners and developers to expose actionable CTAs, embeddings, and semantic links without JS
Scoring Rationale
Practical open protocol with SDKs and plugins drives agent-ready web content; limited independent adoption evidence reduces broader confidence.
Sources
Public references used for this report.
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