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Optimise for AI shopping agents

ChatGPT, Perplexity, and Google AI Overviews are recommending products. Make sure they recommend yours.

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Reading time · 7 min
5 engines compared
Agentic commerce primer

The shift to agentic commerce

Shopping behaviour is changing. Instead of browsing product pages, consumers are asking AI assistants: "What's the best pour-over coffee set under $80?" or "Compare organic cotton t-shirts for men." These agents don't see your storefront — they read your structured product data, evaluate it against alternatives, and generate ranked recommendations.

This is agentic commerce. The agent acts on behalf of the shopper, filtering, comparing, and recommending. Your product either makes it into the agent's response or it doesn't. There is no page 2.

How AI shopping agents evaluate products

AI agents process product data differently from search engines. They are looking for:

Completeness. Every field filled — title, description, price, GTIN, brand, category, images, variants. Missing fields reduce confidence in the product listing.
Structure. Schema.org Product markup, FAQ structured data, clean JSON-LD. Agents prefer pre-parsed data over extracting it from HTML.
Specificity. "Premium 100% organic Supima cotton crew neck t-shirt" wins over "Nice blue t-shirt." Agents match specific product attributes to specific queries.
Freshness. Recently updated data signals an active, maintained listing. Stale data with last-modified dates months old gets deprioritised.
Comparability. Can the agent extract price, rating, shipping info, and return policy to build a comparison table? Products with comparable data structures win multi-product recommendation queries.

The five AI engines that matter

ChatGPT (OpenAI)
The largest general-purpose AI assistant. Shopping queries increasingly routed through ChatGPT with product browsing capabilities and direct purchase links.
Perplexity
AI-native search engine with real-time web access. Particularly strong at product comparison queries. Cites sources directly.
Google AI Overviews
AI-generated answers at the top of Google search results. Pulls from Google Shopping data and Merchant Center feeds for product queries.
Claude (Anthropic)
Growing consumer usage for research-heavy purchase decisions. Evaluates product data quality when generating recommendations.
Microsoft Copilot
Integrated into Bing, Edge, and Windows. Uses Bing Shopping index for product recommendations. Growing market share in enterprise purchasing.

Emerging protocols for AI agents

New web standards are emerging to help AI agents discover and interact with product data. llms.txt provides instructions for language models visiting your site. agents.txt defines permissions for AI agents (similar to robots.txt but for agentic use cases). Schema.org Product markup remains the foundation, but these new protocols signal forward-thinking data readiness.

OptAEO checks compliance across all five protocol groups: llms.txt, agents.txt, Schema.org, Data Quality fundamentals, and Agentic Storefront readiness. Most merchants start with Schema.org and Data Quality — the highest-impact protocols.

Track when AI agents cite your products

OptAEO's citation tracking monitors when AI engines reference your products in their responses. See which products get recommended, which engines drive the most visibility, and how citation trends correlate with your AEO score improvements. This closes the feedback loop: fix data, improve scores, measure actual AI visibility. Available on Business plan.

Getting started

Connect your Shopify store to OptAEO and get your first AEO score in under 60 seconds. The free plan includes one full scan with a complete breakdown of data quality issues and AI visibility factors. No credit card required.

Sources
  1. OpenAI blog — ChatGPT product discovery + shopping featuresOpenAI · ongoing
  2. Perplexity — AI-native search with citationsPerplexity AI
  3. Anthropic — Claude tool use documentationAnthropic · ongoing
  4. Google — AI Overviews announcementGoogle blog · 2024
  5. Schema.org Product markup specificationSchema.org Community Group · ongoing

Ready to optimise?

One catalog scan. No credit card. AEO score and the issues we'd fix in under 60 seconds.

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