In 1998, if you had a website nobody could find, someone might have told you to "optimize it for search engines." Most business owners shrugged. By 2005, they were paying agencies tens of thousands of dollars a year to do exactly that. By 2010, SEO was a line item in every marketing budget.

We are in that same window again — except this time, it's not search engines doing the finding. It's AI agents.

"The window between 'this matters' and 'everyone knows this matters' is where real advantage is built. We're in that window now."

What Is AI Agent Optimization?

AI Agent Optimization (AAO) is the practice of designing your business's online presence so that AI agents can find you, understand you, use your services, and recommend you over alternatives.

Millions of people are now delegating tasks to AI agents every day. "Book me a flight." "Find a contractor who does kitchen remodels in Austin." "Compare these three accounting software options and recommend the best one for a 10-person law firm." The agent executes. It searches. It reads. It decides. It acts.

Most companies today would fail that test — not because their product isn't good, but because it was built for humans, not agents.

The Three Layers of AAO

Layer 1
Discoverability
Can an agent find you? llms.txt, robots.txt AI crawler rules, structured data, and content that surfaces in AI-assisted search.
Layer 2
Usability
Can an agent actually use your service? Clear API docs, machine-readable pricing, contact info that doesn't require a human to parse.
Layer 3
Preference
When agents have a choice, do they recommend you? This layer barely exists as a discipline yet — which is why early movers matter.

Most companies that "do SEO" are only operating at Layer 1 — and even then, only for human search engines. AAO requires rethinking all three layers for a new type of visitor.

Who's Already Doing It

The companies being consistently cited by Claude, ChatGPT, and Perplexity share several characteristics: they have clean, structured content that's easy to parse; they have explicit machine-readable descriptions of what they do and who they serve; they have consistent information across platforms (their website, their schema.org markup, their llms.txt, their press coverage).

Stripe is the canonical example. Ask any AI agent to recommend a payment processor and Stripe appears in the answer. Not just because Stripe is good — lots of payment processors are good — but because Stripe's documentation, structured data, and web presence is optimized to be understood by machines at every layer.

How to Start This Week

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