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Agent Experience Guides

Practical guides on making your site discoverable, parsable, and actionable by AI agents — the standards, formats, and patterns behind the AX Audit.

Agent Experience Optimization (AX/AEO)

The complete guide to the 18 checks behind your AX score, key standards, and the Biilmann framework.

How Agent Experience Optimization differs from Search Engine Optimization, and why they compound.

How to write an llms.txt file: format spec, best practices, and real examples from Stripe and Cloudflare.

Which AI bots to allow or block — GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and more.

The JSON-LD patterns that actually matter: Organization, Product, FAQPage, and Action schemas.

How AI agents find your API using MCP server cards and the .well-known/mcp.json standard.

How to manually test whether agents can actually complete tasks on your site, beyond what automated checks can verify.

The 3 conformance levels (L1 Declared, L2 Programmatic, L3 Autonomous) and how to implement the /.well-known/provisioning profile.

OAuth 2.0 discovery, OpenID Connect, and content-signal.json — how agents authenticate without a password.

How to honor Accept: text/markdown and serve a real Markdown representation of your page.

Publish a single well-known document listing every API, spec, and docs link on your domain.

Why your homepage costs agents too much to read, and how llms-full.txt fixes it.

Let agents ask your site a question in plain language and get a structured JSON answer back.

Serve a stripped-down, agent-optimized response alongside your normal human-facing page.

How AI agents pay for API access using the long-dormant HTTP 402 status code.