Agent SEO field notes
How AI agents pick developer tools — what Pick Rate measures, where citations mislead, and how to get chosen. Backed by live Pickrate data.
We Measure Whether Agents Pick Tools. Now They Can Pick Pickrate.
Pickrate is now WebMCP-native: open it in Chrome and an in-browser AI agent can call its tools directly. Why being callable, not just recommended, is the next stage of Agent SEO.
Your Coding Agent Can Now Ask Pickrate Which Tool to Pick
Pickrate is now a remote MCP server. Add one line to Cursor or Claude Desktop and your agent can query any tool's Pick Rate, mid-task. Why being callable is the whole point.
What Is Pick Rate? Measuring Whether AI Agents Choose Your Tool
Pick Rate is the share of the time an AI agent picks your tool over competitors on a real task. Here's what it measures, why citations aren't the same thing, and how to read it.
Mintlify Is Hot With Humans. AI Agents Barely Pick It.
We measured which documentation platforms AI agents recommend. The buzzy hosted names lose to old open-source frameworks — a textbook case of the corpus-presence gap.
Agent SEO: How to Get Recommended by AI Coding Agents
Agent SEO is the discipline of getting AI coding agents to pick your tool. A practical checklist across the four stages agents move through before they choose you.
Why AI Agents Aren't Picking Your SDK (and How to Fix It)
If agents know your SDK exists but never import it, the problem is usually Discovery, not awareness. The Probe/Serve gap, llms.txt, OpenAPI, MCP, and unbranded prompts.
GEO vs. Agent Selection: Citations Aren't the Same as Getting Picked
GEO and brand-radar tools measure whether AI talks about you. Agent selection measures whether AI chooses you. Why the distinction decides what you optimize.
The Agent Funnel: The Four Observable Stages of Being Chosen by AI
Awareness, Discovery, Recommendation, Adoption. The four stages an AI agent moves through before it picks your tool — and how to find the one that's capping you.
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