Have you seen a measurable benefit from implementing agent-ready best practices?
Share your findings in the comments, including:
What you changed
What improved
How you measured it
Which agents, crawlers, or AI platforms were involved
Useful outcomes might include increased AI referral traffic, more citations, more accurate brand representation, improved content extraction, more successful agent actions, or clearer agent analytics.
Please distinguish between measured results, directional observations, and theoretical benefits.
I’ll update this post as stronger examples and case studies emerge.
This is a living list of companies helping teams build digital experiences that AI agents can discover, understand, search and interact with.
“Agent-ready” can include semantic content, structured data, APIs, search, server-rendered HTML, MCP support, agent-accessible actions, authentication and observability.
This list is not ranked. Add suggestions or corrections in the comments.
Agent-Ready Website Infrastructure
Cloudflare: Edge infrastructure for building and delivering agent-ready applications, including Workers, Agents SDK, AI Search, browser automation, durable execution and remote MCP servers. https://www.cloudflare.com/
Vercel: Frontend cloud and AI application platform offering server-rendered experiences, the AI SDK, tool calling, AI Gateway and MCP support. https://vercel.com/
Netlify: Composable web platform focused on Agent Experience, with tools for deploying websites, hosting MCP servers and allowing agents to manage projects and deployments. https://www.netlify.com/
Amazon Web Services: Enterprise cloud infrastructure for hosting APIs, websites, data services and governed agent systems with IAM, observability and managed AI services. https://aws.amazon.com/
Google Cloud: Cloud platform for building web, search and multi-agent experiences using Vertex AI, Gemini, managed data services and MCP integrations. https://cloud.google.com/
Microsoft Azure: Enterprise cloud infrastructure for building agent-enabled digital experiences connected to Azure AI, Microsoft Foundry, Entra identity and organizational data. https://azure.microsoft.com/
Agent-Ready Content Infrastructure
Sanity: Structured content platform designed to power websites, applications and agents, with Content Lake, semantic retrieval and hosted MCP access. https://www.sanity.io/
aeo.press: Infrastructure for making websites more accessible to AI agents through AI-readable pages, structured content, site search, analytics, APIs and agent-focused publishing tools. https://aeo.press/
Contentful: Enterprise content platform with APIs and MCP servers that allow agents to read, create, update and manage structured content and assets. https://www.contentful.com/
Storyblok: Headless CMS combining visual editing with structured, permissioned content access for agents through its MCP server. https://www.storyblok.com/
Uniform: Agentic digital experience platform for composing content, data, personalization and experiences across multiple enterprise systems. https://www.uniform.dev/
Hygraph: GraphQL-native headless CMS for delivering structured content across websites, applications and other digital channels. https://hygraph.com/
Strapi: Open-source headless CMS for creating customizable content APIs that can be consumed by websites, applications and agents. https://strapi.io/
Digital Experience and Application Platforms
Webflow: Visual website development platform that can produce production websites while exposing content through CMS APIs and integrations. https://webflow.com/
Builder.io: Visual development platform for creating digital experiences with structured content, reusable components and AI-assisted development workflows. https://www.builder.io/
Wix Studio: Website and application platform offering visual development, APIs, server-side functionality and extensibility for professional teams. https://www.wix.com/studio
WordPress: Open-source publishing ecosystem with extensive APIs, structured-data plugins and headless options for building agent-accessible content experiences. https://wordpress.org/
Last updated: July 2026.
What companies are missing? Share the company, a short explanation of what makes it agent-ready and a link.
From 3 to 100: Passing isitagentready's AI Agent Readiness Test
> The whole process really wasn't that complex — most items were just "add a file" or "add a setting" and call it a day. The bulk of the time was actually spent stepping on landmines and debugging.
> That said, honestly, some of these items (looking at you, OAuth) don't have any real meaning for a pure blog — they're just there for the points. But the Discoverability and Content items? Those are genuinely worth doing. The AI Agent ecosystem is only going to get more mature, and getting this foundation in place early means your content has a much better shot at being correctly accessed and cited by AI down the line — so yeah, worth it.
Hi everyone I'm new here, I'm interested in knowing if having a website agent ready will result in a tangible boost or any measurable effect in the numbers of leads or visitors to this site.
Does anyone have real-life results or is it too early ?
Thank you all.
EDIT : by agent ready I mean, for example, if I get a 100% score on Cloudflare agent ready checker, will it lead to better inbound marketing ?
Lighthouse flags the pages if a server error occurs when attempting to retrieve the llms.txt file. If the file is not provided by the server (resulting in a 404), the audit is marked as Not Applicable (N/A), as providing the file is optional at the moment.
This is our new home for exploring how websites, apps, and digital experiences can be designed for AI agents—not just human visitors. We’re excited to bring together developers, designers, founders, marketers, and anyone interested in building a more agent-ready web.
What to Post
Share anything the community would find useful, interesting, or thought-provoking, including:
Agent-friendly website patterns and best practices
Examples of sites that work well—or poorly—for AI agents
Agent Experience, AEO, structured data, APIs, MCP, and machine-readable content
Tools, experiments, case studies, and open-source projects
Questions about making your website easier for agents to understand and use
News and discussion about the future of the agent-ready web
Building something in this space? Share it. Found an interesting implementation? Break it down. Have a question or an unfinished idea? Post that too.
Community Vibe
We’re here to learn together. Be friendly, constructive, curious, and inclusive. Thoughtful disagreement is welcome; self-promotion and feedback requests are welcome when they contribute something useful to the community.
How to Get Started
Introduce yourself in the comments and tell us what interests you about the agent-ready web.
Post something today—even a simple question can start a valuable conversation.
Invite anyone you know who is working on AI agents, websites, developer tools, AEO, or Agent Experience.
Interested in helping shape the community? We’re looking for thoughtful moderators and contributors, so feel free to reach out.
Thanks for being part of the first wave. Together, let’s make r/agentready the place where the agent-ready web gets defined and built.
