How to make your website work for AI agents
Plain answers to the questions teams ask when AI agents start visiting their site: what an agentic score is, how to measure what agents can do, and how to make a site agent friendly. Each guide draws on what Axidort agents found on 50 leading commerce sites.
Measure
Scores, tests and what the numbers mean.Agent Readiness Checkers Compared: What Each One Measures
Agent readiness checkers measure different things. Compare standards scanners such as Cloudflare’s with behavioural scans such as the Axidort Score, and when to use each.
Updated October 13, 2026How to Measure How AI Agents Perform on Your Website
Four ways to measure how AI agents perform on your site: agent task tests, a fetch test, server-log analysis and standards checks, with the metrics worth tracking.
Updated October 13, 2026SEO vs AEO vs GEO vs Agent Readiness: What Is the Difference?
SEO gets you ranked, AEO and GEO get you quoted in AI answers, and agent readiness lets an AI agent complete a task on your site. How the four fit together.
Updated October 13, 2026What Is an Agentic Score? Agent Readiness Scores Explained
An agentic score rates how well AI agents can use a website. See what the scores measure, how they are calculated, what a good score is, and how to raise yours.
Updated October 13, 2026Build
Changes that let agents read and use your site.Agent Compatibility: Test Your Site With Every Kind of AI Agent
Agent compatibility is whether a website works for the different kinds of AI agents: crawlers, reader agents, browser agents and tool-calling agents. How to test each.
Updated October 13, 2026How to Create an MCP Server for Your Website
A practical guide to creating an MCP server for a website: when you need one, which tools to expose, a TypeScript example, authorization, discovery and testing.
Updated October 13, 2026How to Make Your Website Agent Friendly: 12 Practical Steps
A 12-step guide to making a website agent friendly: let declared agents in, use semantic HTML, put facts in the page, add structured data, and offer tools agents can call.
Updated October 13, 2026Standards
The files and protocols agents look for.llms.txt: What It Is, How to Write One and Whether It Helps
llms.txt is a Markdown file that gives language models a short guide to your site. The exact format, an example, how it differs from robots.txt, and what it can and cannot do.
Updated October 13, 2026robots.txt for AI Agents and Crawlers: User Agents and Rules
Which AI user agents to allow or block in robots.txt: GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot and more, with a template and the limits of robots.txt.
Updated October 13, 2026Structured Data for AI Agents: Product Schema That Gets Read
AI agents rely on schema.org Product and Offer data for price, currency, stock and identifiers. The fields that matter, a JSON-LD example and the mistakes that break trust.
Updated October 13, 2026WebMCP Explained: Let AI Agents Call Tools on Your Web Page
WebMCP is a proposed web standard that lets a page expose tools to AI agents in the browser. How the imperative and declarative APIs work, with examples and current status.
Updated October 13, 2026Commerce
How agents buy, and what stops them.Agentic Commerce Protocols: ACP, UCP, AP2 and x402 Compared
A plain comparison of the agentic commerce protocols: ACP, UCP, AP2 and x402. What each layer does, who backs it, and what a merchant should do first.
Updated October 13, 2026Why AI Agents Fail at Checkout: Data From 50 Commerce Sites
We sent an AI agent to buy from 50 leading commerce sites. 31 served it a bot challenge and the median score was 11/100. Here is what stops agents and how to fix it.
Updated October 13, 2026Start with the fundamentals
New to the subject? Read what agent readiness is and how AI agents buy products, then see where well-known sites stand in the Axidort Index. The scoring rules are in the methodology.