# Agent Legibility: Making Brands Readable to AI | WebPossible

> Agent legibility is engineering a brand so AI agents can find, understand, cite, and transact with it. The framework behind machine media, and why early movers win.

Source: https://webpossible.com/agent-legibility/
Format: Markdown version for AI agents. The canonical HTML page is at the source URL above.

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# Agent legibility

The web is being read by machines acting for people. Agent legibility is the discipline of engineering a brand so those machines can find it, understand it, trust it enough to cite it, and act on it. This is the idea the rest of this site is built to prove.

[See how this site scores](/reference/)

The premise

## Machine media changes who you are writing for

For thirty years the web was built for human eyes. That assumption is breaking. As AI agents take over more of the reading, researching, and buying, your site becomes less a destination a person visits and more a data source a machine ingests and acts on. Mike King calls this machine media, and the implication is blunt: the audience that decides your visibility is increasingly not human.

Agent legibility is the response. It is the engineering work of making a brand legible to that audience, so the machines reading the web on your customers' behalf can do their job with you instead of around you.

The framework

## Five things an agent must be able to do

Read, cite, act, transact, measure. Each is a layer, and each is a place to win or lose.

| Layer | What it means | Where to start |
| --- | --- | --- |
| **Read** | A machine can parse your pages without guessing | [Structured data](/structured-data-for-ai/), [llms.txt](/llms-txt/), markdown twins |
| **Cite** | A model trusts you enough to name you | [AEO](/answer-engine-optimization/), [GEO](/generative-engine-optimization/), entity consistency |
| **Act** | An agent can use your site, not scrape it | [Model Context Protocol](/model-context-protocol/), WebMCP |
| **Transact** | An agent can buy or book for a customer | [Agentic commerce](/agentic-commerce/) |
| **Measure** | You can prove any of it is working | [AI visibility](/ai-visibility/) |

Most of the market is stuck on the first two layers, and even those badly. The compounding advantage is in moving down the stack while it is still early, especially for [ecommerce](/agentic-commerce/) and [service businesses](/service-businesses/), where act and transact turn directly into revenue.

Our stance

## We will not preach what we do not practice

It would be absurd to sell agent legibility from a site agents cannot read. So this site is the reference implementation. Every page ships a clean [structured-data](/structured-data-for-ai/) layer and a markdown twin. We publish a curated [llms.txt](/llms.txt) and a full content export. And we keep an honest, public [scorecard of our own machine layer](/reference/), including the parts that are still cheap insurance rather than proven wins. The credibility is the point. If we tell you something works, it is running here first.

## Agent legibility, answered

What is agent legibility?

Agent legibility is the practice of engineering a brand, its website, and its data so autonomous AI agents can do four things reliably: find you, understand what you offer and claim, cite you accurately, and act or transact with you. It is the practical discipline behind the shift to machine media, where AI agents read and act on the web on behalf of people.

How is agent legibility different from SEO or AEO?

It is the larger frame. SEO optimizes for human clicks. Answer engine optimization and generative engine optimization optimize for being read and cited by AI. Agent legibility includes all of that and adds the action and transaction layers: being callable and buyable by agents, plus the measurement to prove it. AEO and GEO are how you get read and cited. Agent legibility is the whole stack, through to getting used.

What is machine media?

Machine media is the idea, articulated by Mike King, that as agent traffic overtakes human traffic, your website becomes primarily a data source for machines to ingest and act on, rather than a destination humans visit. In that world, success is measured in citations, agent actions, and agentic conversions rather than sessions and clicks.

Why act on agent legibility now?

Because models are training on the signals that exist today, and the conventions are being set right now. The brands that are clean, consistent, and callable while this is early get baked into how agents understand their category. It is a cheap head start that gets more expensive to win the longer you wait.

[See the reference implementation](/reference/)