GEO

GEO for e-commerce: get your products recommended by AI

How to do GEO for e-commerce so ChatGPT, Gemini and Perplexity recommend your products: clear product pages, reviews, presence in sources and structured data.

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GEO for e-commerce: get your products recommended by AI

More and more people ask AI "what's the best [product]" before buying. If you sell online, you want that answer to include your products. That's GEO for e-commerce.

To get AI to recommend your products: 1) make your product pages clear and extractable (specs, price, who it's for); 2) earn real reviews, because AI trusts user opinions; 3) be present in the sources AI cites (Reddit, reviews, comparisons, YouTube); 4) use Product structured data; and 5) measure which queries you and your competitors appear in. AI recommends what it understands, what has social validation, and what it can cite.

Why it matters for an online store

People use AI to decide what to buy. If it recommends you, you win a high-intent sale; if not, you simply don't exist in that decision. And unlike search, AI usually gives few options, so getting among the recommended ones is gold.

1. Clear, extractable product pages

Specs, price, who it's for and why, in clear text, not just images. AI has to be able to extract the answer from your page. This is AEO applied to products.

2. Real reviews

AI trusts social validation. Authentic reviews, on your site and on third parties, weigh more than your marketing copy. Make it easy for customers to leave opinions, and respond to them.

3. Presence in the sources AI cites

Comparisons, listicles ("best X"), Reddit, YouTube and specialized reviews are what AI pulls from. Earn genuine mentions there. What sources AI cites.

4. Product structured data

Product, Offer and AggregateRating schema help AI understand price, availability and rating. It's technical hygiene, not magic. Schema for AI.

5. Measure which queries cite you

Track prompts like "best [category]" or "[product] vs [competitor]" across several engines, and watch your share of voice versus competitors. How to measure your share of voice.

Typical e-commerce mistakes

  • Specs only in images: AI doesn't read them.
  • Zero reviews, or fake reviews that erode trust.
  • Blocking AI crawlers. See robots.txt.
  • Not appearing in your category's comparisons.

Frequently asked questions

Can AI recommend my store?

Yes, if it understands your products, there's social validation, and it can cite sources that mention you.

Do reviews help?

A lot. AI trusts real opinions more than the brand's marketing.

Do I need schema?

It helps AI understand price, stock and rating, but prioritize clear product pages and real reviews.

Federico Ergang

Written by

Federico Ergang

Cliro cofounder & CEO

Federico Ergang is cofounder and CEO of Cliro, the AI visibility and GEO platform for Latin America.

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