AI Search Optimization for Ecommerce: How to Get Products Recommended

Shoppers now ask AI assistants for product recommendations the way they used to type keywords into Google, and a whole industry has appeared selling "GEO" and "AEO" fixes. Some of that advice is useful. A lot of it is folklore. This guide is for ecommerce owners and marketers who want to know what actually gets products recommended in AI search, based on what Google, Microsoft and Shopify have published, and how to measure whether it's working.

Key takeaways

Google says there are no special requirements for AI Overviews or AI Mode. Pages need to be indexed and eligible for a snippet. Google doesn't use llms.txt files, and special markup or "chunking" content isn't required.
For products, the biggest inputs are structured product data feeds: Google Merchant Center for Google surfaces, Shopify Catalog for ChatGPT and Copilot.
Original, specific content beats rewritten commodity content. Google calls this out as the single most important factor in its 2026 guide.
You can now measure AI visibility: Search Console includes AI features in its Performance report, Merchant Center has AI performance insights, and Bing Webmaster Tools has an AI Performance report.

How AI assistants choose products

Different assistants pull from different sources, which is why one "GEO hack" can't cover them all.

Surface	Main product data source	What you control	How to measure
Google AI Overviews and AI Mode	Google's index, plus Merchant Center feeds and Business Profile	Crawlability, content quality, Merchant Center feed, structured data	Search Console Performance (Web); Merchant Center AI performance insights
Gemini app	Google Shopping data (Merchant Center)	Feed quality, Google & YouTube channel on Shopify	Merchant Center
ChatGPT	Shopify Catalog for Shopify stores; ACP product feeds for approved partners; public web	Product data in Shopify, Catalog Mapping, web content	AI channel attribution in Shopify; referral traffic
Microsoft Copilot	Shopify Catalog; Bing's index	Product data in Shopify, Bing indexing	Bing Webmaster Tools AI Performance; Shopify attribution
Perplexity	Web search; PayPal merchant program for in-chat buying	Web content and crawlability	Referral traffic

The pattern is clear: structured product data plus a crawlable, credible website. Everything else is detail.

What Google actually says

In May 2026, Google published a guide to optimizing for generative AI features in Search, and it's refreshingly direct. A few points every merchant should know:

"There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." Standard SEO fundamentals apply: let Google crawl your pages (including through your CDN or bot protection), use internal links, keep important content in text, and keep structured data consistent with what's visible on the page.
llms.txt doesn't help in Google Search. Google says creating these files "will neither harm nor help your site's visibility or rankings in Google Search." You can keep one for other services.
No special schema is required for AI features. Structured data is still worth using because it makes you eligible for rich results, but it's not an AI ranking lever.
Don't chunk your content into tiny pieces. Google says there's no requirement to break content up for AI, and no ideal page length.
Don't rewrite pages "for AI." Google's systems understand synonyms and meaning, so chasing long-tail phrasings isn't necessary.
Manufactured mentions don't do much. Google says its ranking and spam systems focus on quality, and spam policies now explicitly apply to generative AI responses.
Non-commodity content matters most. Google says unique content likely matters more for generative AI search "than any of the other suggestions in this guide."

For ecommerce specifically, Google points to Merchant Center feeds and Business Profiles as ways products and stores appear in AI responses.

What works for ecommerce

Here is how I translate that into work for a Shopify store.

1. Make product data complete and literal

AI assistants match a shopper's request ("linen shirt, relaxed fit, machine washable") to product attributes. If "machine washable" only appears in an image, the assistant can't use it.

Write titles that say what the product is: brand, product type, key attribute.
Put specs in text: materials, dimensions, care, compatibility, what's in the box.
Set the Shopify product category and category metafields.
Add GTINs where your products have them.
Keep prices and inventory accurate across your site and feeds.

2. Get your feeds right

Google: Connect the Google & YouTube channel and fix Merchant Center errors and warnings. In September 2026, Google introduced conversational attributes in product feeds to add richer listing context. Google says these appeared in relevant AI Mode recommendations 50% of the time in lululemon's testing. That's one brand's test, but it shows where Google is heading.
ChatGPT and Copilot: On Shopify, these read from Shopify Catalog. If your key data lives in metafields, set up Shopify Catalog Mapping. See our agentic commerce guide for the details.

3. Publish content a competitor can't copy

"10 tips for choosing running shoes" is commodity content, and Google's guide uses a similar example. Useful content for a store looks like:

Sizing and fit guides based on your own return data ("runs small in the shoulders").
Comparison pages between your own products ("Model A vs Model B: which is right for wide feet").
Clear buying guides from someone who knows the category, with real photos.
Specific answers to the questions your support team gets every week.

4. Make policies easy to find and parse

Assistants answer questions like "does this brand offer free returns?" Put shipping times, return windows and costs in plain text on dedicated pages, and keep them consistent with your structured data and feeds. Our guide to Shopify product structured data covers the return policy markup.

5. Don't block the crawlers you want

Check robots.txt and any bot protection on your CDN. Google and Bing need access for AI features. Note that on Shopify, blocking AI crawlers in robots.txt doesn't stop Shopify Catalog from sharing product data with AI channels you've activated. Turn off channels in the admin instead.

6. Earn real reviews and mentions

Product reviews on your pages give assistants specific, user-written details. Press coverage, expert reviews and genuine community discussion help too. Buying mentions or seeding fake discussions doesn't, and it's a spam risk.

Watch out: Be skeptical of tools that promise to "rank you in ChatGPT." AI answers change from one query to the next, and no vendor controls them. Prioritize the fundamentals above and measure trends, not single answers.

How to measure AI search visibility

You can't track AI recommendations like rankings, but there's more data than a year ago:

Google Search Console. Clicks and impressions from AI Overviews and AI Mode are included in the Performance report under the "Web" search type. In June 2026, Google announced dedicated generative AI performance reports, and as of August 31, 2026 it says they've rolled out to all websites worldwide.
Merchant Center AI performance insights. Generally available since September 2026 in the US, Canada, Australia, India and New Zealand. It shows your brand's share of voice compared with other brands across AI Mode and AI Overviews.
Bing Webmaster Tools AI Performance. In public preview since February 2026. It shows how often your pages are cited in Microsoft Copilot and Bing's AI summaries, plus grounding queries. Microsoft notes the data is a sample, and it doesn't show clicks.
Shopify attribution. Orders from AI channels show channel or referrer attribution in your admin. Track them monthly.
Manual spot checks. Keep a list of 20 to 30 buyer-intent prompts for your category and check them monthly in each assistant. Record whether you appear and what's said about you. It's anecdotal, but it catches wrong facts.

A 30-day plan

Week 1: Audit crawlability (robots.txt, CDN bot settings, password pages) and fix Merchant Center errors. Verify your site in Bing Webmaster Tools.
Week 2: Rewrite titles and descriptions for your top 20 products with complete specs. Set categories and GTINs.
Week 3: Publish or update shipping, returns and sizing pages. Check that structured data matches.
Week 4: Write one genuinely original buying guide or comparison page. Set up your monthly measurement sheet.

FAQ

What's the difference between GEO, AEO and SEO?

They're labels for the same goal: being the source an answer engine uses. GEO (generative engine optimization) and AEO (answer engine optimization) focus on AI answers, but Google says the fundamentals are the same as SEO.

Do I need an llms.txt file?

Not for Google. Google says it doesn't use llms.txt and it won't affect your visibility either way. Some other services may read it, so it's optional.

Does schema markup help with AI Overviews?

Not directly. Google says no special markup is needed for AI features, but structured data still makes you eligible for rich results and helps machines read your product details.

How do I know if ChatGPT recommends my products?

Check AI channel attribution in your Shopify admin and referral traffic in your analytics, and spot-check key prompts. ChatGPT doesn't offer a webmaster-style report.

Next steps

Start with the 30-day plan and your top 20 products. Clean product data and original content improve classic SEO, Google Shopping and AI recommendations at the same time, so nothing here is wasted effort. For the broader picture, read our Shopify SEO guide. If you want a second set of eyes on your store, book a Shopify consultation.