AI2Web
Describe your site once. Every AI agent can use it.
AI2Web is an open interoperability layer for AI-enabled websites. You describe your site's capabilities once in a single manifest at /ai2w (its content, products, actions and support flows), and AI2Web exposes them through whichever protocols an assistant understands: MCP, ACP, REST, GraphQL, OpenAPI and feeds. No per-assistant rebuilds. It works with Claude and ChatGPT connectors today, keeps anything that moves money behind user approval, and gives you one place to validate, monitor and manage your AI presence instead of a dozen fragmented portals. The protocol, spec and SDKs are open source (MIT for code, CC-BY 4.0 for the spec).
Features
- Describe once, generate everywhere: one capability manifest emits MCP, ACP, REST, GraphQL, OpenAPI and feeds from a single source of truth (new protocol means a new adapter, not a rewrite).
- Works today: backend-first and API-driven, so an endpoint runs in existing Claude and ChatGPT connectors with no vendor adoption required.
- Safe by design: reads (like order tracking) run instantly, while high-risk actions (purchases, refunds, cancellations) return a preview for the user to approve, with an audit trail.
- AI Readiness Validator: score any site out of 100 over the web, CLI (npx ai2web validate), REST or MCP, plus a Chrome extension to check readiness from the toolbar.
- Live Discovery Network: register your manifest so agents can find and act on your site (directory.ai2web.dev).
- Broad stack support: SDKs for TypeScript, JavaScript, React, PHP, Python, Go and .NET, a WordPress and WooCommerce plugin, and a build-free <ai2w-badge> web component for plain HTML.
- One dashboard: enable, validate, monitor compatibility across assistants, and see which capabilities agents actually use.
- Greener by design: sends a few kilobytes of structured meaning instead of megabytes of HTML for agents to render.
- Open and neutral: complements protocols rather than competing (if a neutral discovery standard emerges, AI2Web is carried by it).
Use Cases
- Post-sale support on autopilot: a customer asks their assistant "where's my order?" or requests a return or refund, and AI2Web handles tracking, issue logging and refunds (with approval on the money-moving step).
- AI-ready commerce: expose a WooCommerce or WordPress store's products and checkout to agents via MCP or an ACP checkout transport, without rebuilding per assistant.
- Bring existing APIs to agents: wrap your current REST or GraphQL endpoints in the capability model so assistants can use them safely, no new backend.
- Make any site discoverable to AI: publish a manifest and register on the Discovery Network so agents can find and act on your site.
- Audit and benchmark AI readiness: run the validator on your own or competitor sites to see how understandable they are to AI and what to expose next.
- Governed agent actions: give agents the ability to act on a user's behalf while keeping sensitive operations behind explicit approval and an audit reference.
Comments
The assistant landscape is fragmented right now - you build for Claude, then rebuild for ChatGPT, then again for whatever new AI agent launches next month. Every time a new protocol or platform emerges, sites have to reinvent integrations. AI2Web inverts this problem elegantly - describe your site once (content, products, actions, APIs) and let the manifest act as a translation layer. Instead of adapting for each assistant, you expose capabilities in a standardized way and the various AI platforms (Claude, ChatGPT, future assistants) consume from that single source of truth. This is especially valuable for SaaS companies, marketplaces, and content platforms that need to be discoverable and usable by multiple AI systems. The no-rebuild requirement means upgrading your API or adding new capabilities doesn't trigger another round of integration work across N different assistant platforms. It's infrastructure that gets less visible the better it works.
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Comments
The assistant landscape is fragmented right now - you build for Claude, then rebuild for ChatGPT, then again for whatever new AI agent launches next month. Every time a new protocol or platform emerges, sites have to reinvent integrations. AI2Web inverts this problem elegantly - describe your site once (content, products, actions, APIs) and let the manifest act as a translation layer. Instead of adapting for each assistant, you expose capabilities in a standardized way and the various AI platforms (Claude, ChatGPT, future assistants) consume from that single source of truth. This is especially valuable for SaaS companies, marketplaces, and content platforms that need to be discoverable and usable by multiple AI systems. The no-rebuild requirement means upgrading your API or adding new capabilities doesn't trigger another round of integration work across N different assistant platforms. It's infrastructure that gets less visible the better it works.
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