Resources

Learn how agents shop.

Guides, teardowns and a monthly log of what changed in AI shopping.

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GuideIn progress

The anatomy of an agent-ready product page

8 min read

TeardownIn progress

We asked 5 assistants to buy magnesium. Here is what they read.

12 min read

Agent WatchIn progress

What changed in AI shopping, June 2026

5 min read

GuideIn progress

Schema.org for Shopify: the five fields that matter most to AI agents

6 min read

GuideIn progress

GTIN, feed quality, and why agents ignore products without a barcode

5 min read

TeardownIn progress

ChatGPT Shopping vs. Perplexity: how they read a product page differently

10 min read

DocsIn progress

agents.md and llms.txt: the discovery files every store should customize

4 min read

GuideIn progress

Writing product descriptions that AI agents can cite

7 min read

AEO and GEO: the short version.

Agent Engine Optimization (AEO)
AEO is the practice of making your product data readable and trustworthy to AI shopping assistants. Where SEO targets search-engine crawlers, AEO targets agents that read structured data, price feeds, and discovery files to answer shoppers' questions. The signals are different: GTINs, schema.org markup, and plain-language descriptions matter more than keyword density.
Generative Engine Optimization (GEO)
GEO extends AEO to generative answer engines such as Perplexity and ChatGPT. These systems sample from across the web, then synthesize a recommendation. Being cited in that synthesis requires your product pages to have clear facts an LLM can extract without ambiguity: prices with currencies, materials, sizes, and a description that answers the most common questions about the product without hedging.
Discovery files
Shopify automatically generates a generic agents.md and llms.txt at each store's root. Your job is not to create these files but to customize them: a store-specific version served via app proxy tells agents what your brand sells, what makes it different, and which products to highlight. We do not claim a customized file wins you citations: we have not measured that, and nobody has published a study we would trust.

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