AgentMint - How to Win AI Agent SelectionSkip to contentNewsletterStart Here<br>HandbookFoundations<br>Agentic Commerce Optimization<br>How AI Agents Choose Products<br>Catalog<br>Anatomy of a Citable, Comparable Product Detail Page<br>Category and Collection Page Legibility for AI Agents<br>All Handbook Pages<br>Infrastructure<br>The Agent Selection Maturity Model<br>An Agent Selection Audit, Worked Through a Fictional Store<br>Serving Agent Traffic<br>Diagnostics<br>Shown but Not Selected: Why an Agent Picks a Competitor<br>Lowest Price but Still Not Recommended by AI Agents

PlatformsChatGPT Shopping<br>Gemini & Google AI Mode<br>Perplexity Shopping<br>Store integrations<br>WooCommerce

ToolsAgentic Readiness Checklist<br>Agent Selection Checklist<br>Agent Legibility Analyzer<br>Coding-Agent Workflow

ResearchHow We Test Agent Selection<br>Description-Rewrite Field Test<br>Agent Selection Index<br>Timeline<br>Open Questions

ReferenceLook It Up<br>Glossary<br>AI Shopping Crawler Reference<br>Protocols<br>UCP vs ACP<br>Agentic Payment Protocols<br>Signals<br>Signals<br>Blueprints<br>All Blueprints<br>llms.txt for Catalogs<br>Product Markdown Mirror<br>Product JSON-LD Patterns<br>Edge Worker Config

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[ agent selection ]<br>Win the agent's choice.<br>AgentMint.net is a research publication and practitioner handbook on agent selection: why AI shopping agents pick one store, product, or offer over another, and how merchants win that choice.<br>Read the guideSee the research

[ how we source ]<br>Every factual claim is labeled by how it's sourced. You see the evidence, not just the assertion:<br>In a controlled simulation, moving a product from the bottom-right corner to the top row raised its selection rate roughly fivefold for a Claude Sonnet 4 agent.ReportedACES (arXiv:2508.02630) (2025)

[ start here ]<br>Choose your path<br>Learn the model<br>How AI shopping agents actually decide, and the evidence behind each signal.<br>How AI agents choose products<br>The complete optimization guide<br>The Signals Database

Diagnose a problem<br>Not showing up, or showing up and losing? Find where it's failing.<br>Why you're not in ChatGPT Shopping<br>Agent Legibility Analyzer<br>Verify crawler access: the token reference

Implement improvements<br>Copy-paste blueprints and executable guidance for your stack.<br>Blueprints: llms.txt, JSON-LD, mirrors, edge config<br>Information density: the token economy<br>Run the audits with your coding agent

By role: Store owner: the 30-minute triage · Developer: the blueprints collection · SEO / feed lead: make your feed AI-readable · Agency: the platform playbooks<br>New here? Start with the 30-minute triage, which routes you by situation and role.

[ self-assess ]<br>Self-assess your store<br>Agentic Shopping ReadinessCan agents find, read, and buy from your store at all? 30 checks, each linking the validator that verifies it.<br>Agent SelectionOnce you're eligible, what wins the agent's choice: 35 signals no validator checks.

[ evidence ]<br>How we source every claim<br>Every factual statement on AgentMint.net carries an evidence tag: spec-fact (in an official spec, linked), reported (a named, dated third-party source), or hypothesis (our own labeled inference). Nothing is asserted that we can't show. Read how we work &rarr;

[ stay current ]<br>Stay current<br>Agent behavior changes with every model update. Get new research and model-update notes by email. No spam. Unsubscribe anytime.<br>Email addressSubscribe

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[ who reads AgentMint.net ]<br>Written for the people who ship the catalog.<br>Rigor over hype. If you distrust marketing claims and want to see the sourcing behind every one, this is for you.

Developers<br>Technical SEO leads<br>Growth teams<br>Agencies<br>Merchants

Research on why AI shopping agents pick one store over another, and how merchants win that choice.<br>&copy; 2026 AgentMint.net. Written by Abdalsalaam Halawa (opens in new tab).<br>(opens in new tab)<br>Hosted on Hostinger (opens in new tab) (affiliate link: the site earns a commission).

[ newsletter ]<br>Stay current on agent selection<br>New research and model-update notes. No spam. Unsubscribe anytime.<br>Email addressSubscribe

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