adminAsk ChatGPT for “the best cotton bedsheets for hot weather” and it won’t give you ten blue links. It gives you a short list: three or four products, a sentence on why each one fits, a price and a place to buy. If your product isn’t on that list, for that shopper your store doesn’t exist.
Getting onto that list is called Generative Engine Optimization (GEO). Where SEO helps your pages rank in search results, GEO helps your products get named, recommended and cited in answers from AI assistants such as ChatGPT, Gemini, Google AI Mode and Perplexity.
This guide explains how these assistants actually choose products, why it matters more every month, and a practical 10-step playbook any online store can follow, whatever platform it runs on.
Key takeaways
- GEO is about being recommended inside AI answers, not just ranked in search results.
- AI assistants build answers from product feeds, structured data on your site, third-party content and public reviews. You need strength in all four.
- Complete, accurate product data is the single biggest lever. Products with missing attributes get skipped.
- GEO does not replace SEO. Most shoppers use AI and search together, and good SEO feeds good GEO.
- You can’t buy your way into ChatGPT’s product results: OpenAI says they are organic, not ads.
What Is GEO? Generative Engine Optimization is the practice of making your brand and products easy for AI systems to find, understand, trust and recommend. The term comes from academic research published in 2023, which showed that the way content is written and structured changes how often AI engines cite it.
The goal is different from classic SEO, even though the two overlap heavily:
Classic SEO GEO
Goal Rank a page in the list of search Get your product or brand named in the AI’s results answer
What wins Relevant pages, keywords, Complete product facts, clear answers, backlinks, speed trusted third-party mentions, reviews
Classic SEO GEO
Main data sources Your web pages Product feeds, your pages, review sites, forums, articles and videos
Success looks like Clicks from search Mentions, citations, AI referral visits and sales
Why GEO Matters Now
AI answers are taking attention away from traditional results, and that shift is speeding up:
70% drop in organic click-through rate when an AI 203% year-on-year growth in AI referral traffic to Overview appears in Google results. eCommerce websites.
Seer Interactive, 2025 Similarweb State of Ecommerce 2026
50B+ product listings in Google’s Shopping Graph, the 89% of shoppers who research with AI also use data behind AI Mode shopping. regular search.
Channable, July 2026 Similarweb State of Ecommerce 2026
Two things stand out. First, when an AI answer sits at the top of the page, far fewer people click through to the websites below it. If the answer doesn’t mention you, ranking well underneath it is worth much less than it used to be. Second, AI referral traffic is still small in absolute terms but is growing very quickly, and Similarweb found that being recommended by an AI assistant can give a brand up to twice the visits of a rival that wasn’t named.
Heading into 2027, the stores that appear in AI answers will collect a growing share of high-intent shoppers, often before those shoppers ever open a search results page.
How AI Assistants Choose Which Products to
Recommend
Each assistant works a little differently, but they all draw on the same kinds of signals. Here is what the platforms themselves say:
ChatGPT
- Picks products that match the shopper’s request and context, weighing factors such as price, reviews and ease of use. A stated budget makes price more important.
- When several stores sell the same item, it ranks merchants by availability, price, quality and whether the store makes or is the primary seller of the product.
- Builds answers from structured product data (from merchants and third parties), other third-party content and public review websites, which it uses to write review summaries.
- OpenAI states that product results are not ads and are not influenced by its partnerships.
Merchants can apply to send a product feed directly to OpenAI.
Google AI Mode and Gemini
- Gemini interprets the shopper’s request, then uses query fan-out: it splits one question into many smaller searches, such as price, material, size, reviews and availability.
- Results come from the Shopping Graph, built largely from Google Merchant Center feeds and product pages. Over 2 billion of its listings update every hour.
- Products with missing attributes can be left out of those smaller searches, even when they would have been a perfect fit.
- There is no separate AI Mode feed. A complete, accurate Merchant Center feed is what powers it.
Perplexity, Copilot and other assistants Answer engines such as Perplexity and Microsoft Copilot lean heavily on live web search and show the sources they used. For them, classic SEO basics (crawlable pages, clear content and authoritative mentions around the web) translate directly into visibility.
The 10-Step GEO Playbook for Online Stores
Work through these in order. The first five fix your foundations; the rest build authority and help you measure results.
Complete every product attribute Fill in brand, GTIN or MPN, size, colour, material, dimensions, category and variant 1 details. Write titles that say exactly what the product is, for example “Men’s Merino Wool Running Socks, Cushioned, Pack of 3”, not “Cloud Comfort Socks”.
Submit product feeds Keep a clean, error-free Google Merchant Center feed and fix disapproved items first. If 2 you sell outside Shopify, consider applying for OpenAI’s direct product feed programme.
Add structured data 3 Mark up product pages with schema.org Product, Offer, AggregateRating, shipping and return details, so AI systems can read your facts without guessing.
Write descriptions that answer questions Because AI breaks one request into many, cover who the product is for, when to use it, 4 what it’s made of, how it fits and how it compares. Plain, specific sentences beat marketing fluff.
Keep price and stock perfectly in sync 5 Your feed, your product page and your checkout must always show the same price and availability. Mismatches cost you trust and can get products disapproved.
Build reviews, on and off your site Collect genuine reviews on product pages, and encourage reviews on trusted 6 third-party sites. ChatGPT draws on public review websites when summarising products.
Earn mentions where AI looks Get featured in buying guides, comparison articles, YouTube reviews, industry blogs 7 and community discussions. AI assistants trust what others say about you more than what you say about yourself.
Publish helpful buying content Create buying guides, comparison pages and FAQs that answer real questions. 8 Research on GEO found that adding statistics, citations and quotes makes content more likely to be cited by AI engines.
Let the right crawlers in Check robots.txt so AI search crawlers (for example OpenAI’s OAI-SearchBot and 9 PerplexityBot) can read your catalog. Note that Google’s AI features use the normal Googlebot.
Measure and test every month Track visits from chatgpt.com, gemini.google.com, perplexity.ai and copilot in your 10 analytics. Each month, ask the assistants your top 20 buying questions and record whether you appear.
Quick test you can run today Open ChatGPT, Gemini and Perplexity and ask: “What are the best [your product type] for [your customer] under [your price]?” Note which brands appear, which sources the assistants cite and what facts they mention. Those cited sources and facts are your GEO to-do list.
Common GEO Myths
“GEO replaces SEO.” It doesn’t. Most AI shoppers also use regular search, and many AI assistants rely on search indexes to find sources. Strong SEO is the foundation GEO is built on.
“You can pay to appear in ChatGPT’s product picks.” According to OpenAI, its product results are organic and not influenced by partnerships. Ads, where they exist, are handled separately.
“You need a special file or trick for AI.” Proposals such as an llms.txt file get a lot of attention, but there is no public evidence that major assistants rely on them for shopping. Accurate data, structured markup and real reviews matter far more.
“Only big brands get recommended.” AI assistants compare facts, not ad budgets. A small store with complete product data and genuine reviews can beat a big brand with thin listings.
Why Your Platform Matters for GEO
Almost every step in this playbook depends on control: control over your product data, your page markup, your feeds and your robots.txt. On many hosted platforms, some of these are locked or need paid apps. On an open-source, self-hosted store, your team can change any of them directly.
WentoCart is an open-source eCommerce platform built on Laravel and React, with no licensing fees. It includes a structured product catalog with categories and attributes, search-friendly product pages and multi-language and multi-currency settings. Because you own the code, your developers can extend it with any markup, feed or integration your GEO strategy needs, without waiting for a vendor’s approval.
A Note for Merchants Outside the US
Some AI shopping features, such as agentic checkout in Google AI Mode, are still limited to a few markets: in mid-2026 that meant the US and Australia, in English, for selected merchants. Product research with AI assistants, however, happens everywhere. GEO work you do now (better data, feeds, reviews and mentions) improves your visibility today and positions you well as those features expand.
Frequently Asked Questions
How long does GEO take to show results? Feed and data fixes can show up within weeks, as assistants and Google refresh their product data. Building reviews and third-party mentions takes months, just like building SEO authority.
Do I need a separate feed for Google AI Mode? No. AI Mode uses the same Shopping Graph that your Google Merchant Center feed contributes to. Focus on making that feed complete and accurate.
How do I know if AI is sending me traffic? Look for referrals from chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com in your analytics, and test your key buying questions in each assistant regularly.
The Bottom Line
Search isn’t disappearing, but the first answer a shopper sees is increasingly written by AI. GEO is how you make sure that answer includes you. Start with complete product data and clean feeds, add structured markup, build genuine reviews and mentions, and measure what the assistants say about you every month. Stores that do this consistently will be the ones AI recommends.
Own your store, your data and your visibility. WentoCart is free, open-source and self-hosted, built with Laravel and React, so you control every product page, every feed and every line of markup. Explore the live demo or download v1.0 today.