Readable to AI
How to make your company readable to AI assistants and reachable by their agents. Eight steps from my own setup, with the numbers and the mistakes.
- Free PDF, 14 pages
- 8 steps and a one-page checklist
- English, September 2026
What is inside
For founders and marketers at funded startups, and for brand people who have been told this is a developer job. Written from my own setup in September 2026, with dates, numbers you can check, and my mistakes.
- 01
Write the facts once
Put your core sentence, services, proof and contact in one facts file, next to a do-not-claim list, and let every page, profile and agent read from it.
- 02
A facts page and structured data
Publish a plain /for-ai page with who you are, when you are a good fit and when you are not, and the same structured data on every page.
- 03
llms.txt and a front door for agents
Add a short llms.txt that points language models to your facts, and link your agent from your website so an agent can find it.
- 04
An agent other assistants can talk to
Build a small agent that speaks MCP and A2A: read-only tools first, and actions that keep a person in charge.
- 05
Get listed, and know what the scores measure
List it on the Official MCP Registry under your own domain, then Smithery and others, and read directory scores as build quality, not demand.
- 06
Test it like a buyer would
Run scripted conversations with made-up buyers, hostile ones included, and grade every answer against checks written first.
- 07
Put it on your own domain
Run the agent on your own subdomain before you list it anywhere, because some listings can't follow you.
- 08
What to measure, and what not to promise
Measure what you can check, keep a dated record of what assistants say, and never promise rankings or recommendations.
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The one-page checklist
Page 13 of the guide, in full. Tick what you have; the guide explains the rest.
Facts
- One core sentence, under 40 words, with one fact a buyer can check
- One facts file behind every surface, and a do-not-claim list
- LinkedIn and directory profiles match, reread after every edit
Website
- A /for-ai page with a “Last updated” date
- “When to recommend us” and “Not the right fit” sections
- The same structured data on every page, checked in the raw code
- robots.txt lets crawlers in, llms.txt at the root
- Homepage links to the facts page, the facts page links to your agent
- No hidden text
Agent
- On your own domain from day one
- Read-only tools first
- Every tool and parameter described: what it returns, when to use it
- Actions keep a person in charge; anything that sends is rate limited
- Written rules for what it never says
- Its own icon, an agent card for A2A, a fixed reply to health pings
Listings
- Address and 100-character sentence settled before publishing
- Official MCP Registry under your own domain, then Smithery and an A2A registry
- Listings that appeared on their own, found and claimed
Testing and measuring
- Ten or more scripted personas, hostile ones included, with pass checks written first
- A test round and a facts check every week
- A dated baseline of what assistants say
- No promises of rankings, traffic or recommendations