ChatGPT suits open shopping questions, such as "what should I buy for a wet winter commute", and Google suits the moment when the buyer already knows the product, the brand or the store. Most buyers use both for one purchase, so a store needs product pages that ChatGPT can read and Google can index.
An assistant helps a buyer who has a need and no shortlist yet. A search engine helps a buyer who already has a name and wants a price, a store or a returns policy.
Which shopping questions go to ChatGPT and which go to Google?
The split follows how far along the buyer is. "Compare these three jackets for cycling" is an assistant question, since the buyer wants the comparison done for them. "Brand name jacket size guide" is a search, since the buyer has already chosen and needs one fact.
What does each one read from my store?
Each one reaches your products in two ways. OpenAI's shopping help page says ChatGPT picks products it judges relevant to the shopper's request, and that it weighs structured product data such as price and description from first party and third party providers. For Shopify merchants, OpenAI says product data already reaches ChatGPT through Shopify Catalog. Live web search is the second way, and it reads your public pages.
Google reads your pages through Googlebot and your products through Merchant Center. Google's Shopping help says the Shopping Graph, which is built from product data such as Merchant Center feeds, can power AI features such as buying guidance and product recommendations. Our guides to how ChatGPT shopping works and to Google AI Mode cover each path in detail.
Why does the order of the questions matter?
The open question usually comes first, and it is the moment the shortlist forms. A buyer who later types an exact product name into Google has mostly decided. A store that ranks well for its own product names but cannot be read by an assistant reaches buyers who have already decided and is absent while the others are still deciding.
Does a store need different work for ChatGPT and for Google?
Most of the work is shared. A crawler has to reach the page, the content has to be in the HTML, and the product facts have to be stated plainly and match the structured data. That one pass serves both tools. What overlaps between SEO and AEO sets out the shared ground and the few places they part.
The steps below cover the shared pass on a Shopify store.
- Open yourdomain.com/robots.txt and confirm that it does not block OAI-SearchBot or Googlebot.
- Open a best selling product page, choose View page source in your browser, and search for the price and the first sentence of the description. Both should be in the source.
- In your Shopify admin, go to Products, open that product and read the description as a buyer would. Add the facts a buyer asks about, such as material, size, fit and what it is for.
- In the same product, scroll to Search engine listing, click the edit icon and write a page title and meta description that name the product and who it suits.
- Go to Sales channels > Google & YouTube and open the product issues list. Fix the products Google marks as not approved or limited.
- Repeat steps 2 to 4 for your next nine best sellers.
How do I measure each one?
Measure them separately, since they report in different places. In GA4, open Reports > Acquisition > Traffic acquisition. The AI Assistant channel counts visits from ChatGPT and similar assistants, and visits from Google's AI Overviews and AI Mode stay in Organic Search. Search Console's Generative AI report counts impressions in AI Overviews and AI Mode. Tracking AI traffic in GA4 shows the setup.
How does this play out for a cycling apparel store?
Take a cycling apparel store on Shopify with 80 products that ranks well on Google for its own jacket names. A buyer asks ChatGPT for "a waterproof jacket for winter commuting under 200 dollars". The store's jacket page says "built for any weather" and shows the price only in a script that loads after the page. The page has nothing an assistant can match to "waterproof", "winter" or "under 200". The fix is one sentence that names the waterproof rating, the temperature range and the use, with the price in the page source. That sentence gives ChatGPT something to match and does not change what Google already indexes.
In our study of 216 Shopify storefronts (June 2026), 71 percent failed AI Readability, the metric for whether a machine can read and use the content. A jacket page that never says "waterproof" is a typical AI Readability failure.
Common questions
Are people shopping through ChatGPT?
OpenAI runs a shopping experience in ChatGPT and says product results are chosen by ChatGPT and are not ads. How many people use it in your category is something you can test by asking the questions your buyers ask and counting how often your store appears.
Should I optimize differently for ChatGPT and Google?
The foundation is the same for both. Crawler access, content in the HTML and plain product facts serve both. Measurement differs, since Google reports in Search Console and Merchant Center and assistant visits show in the GA4 AI Assistant channel.
Which sends better traffic, ChatGPT or Google?
Compare them in your own GA4 on what the visitors do, such as add to cart and purchase, rather than on volume. The answer depends on the store and the category, and your own numbers settle it.
Sources
- OpenAI Help Center, Shopping with ChatGPT Search, read November 9, 2026.
- Google Shopping Help, Sources of shopping info, read November 9, 2026.
- Analytics Help, GA4 Default channel group.
- Visibility Mesh, The State of AI Visibility 2026, 216 Shopify storefronts scored June 28, 2026.
For a store with more than a few dozen products, the Catalog Assessment reads every product in your Shopify export, up to 1,000. It shows which ones lack a description, an SEO title or an image, and it includes a scan of your store.