- How detailed should the product description be for AI optimization without making the page too long or affecting the visual experience?
- Since apps may automatically add product tags, what is the best way to prevent internal tags from being used by Google AI?
- What is the best way to provide variant-specific information (size, color, material, etc.) so Google AI can understand and recommend the correct variant?
- Does Shopify’s Google & YouTube app provide all the required structured data, or should we add additional schema (e.g., Judge.me ratings, GEO-specific schema)?
- Does adding FAQs to product pages improve the chances of appearing in Google AI Overviews?
- Are there any Google Merchant Center reports that help identify AI Overview or GEO optimization opportunities?
- What role do product images play in Google AI listings, and what are the recommended image sizes and formats?
- How should market-based pricing be fetched and displayed for different regions in Google AI listings?
- How are products with 0 inventory or “Continue selling when out of stock” handled by Google AI product listings?
- In Shopify, if we use Automatic Discounts or coupon codes, will they be recognized and applied by Google AI while shopping?
- How does Google AI identify pre-order products, and what is the recommended approach for optimizing them?
- How does Google AI identify offers such as discounts, bundles, and promotions?
- Can Google AI listings retrieve payment methods, shipping details, and tax information directly from the Shopify store, or do these need to be added separately to improve Google AI listings?
- During the Google AI shopping flow, is a customer account created automatically, or how is customer information handled?
- Apart from the fields covered in the Google Merchant Center requirements and GEO points, are there any additional fields or structured data recommended for better Google AI listings?
Hello Vins, my name is Emmanuel, founder of FeedArmy, and your host for today’s Shopify AMA for Google’s AI Overviews.
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The description should be between 500 and 3000 characters long, however can go up to 5000 characters. Make sure that you add the most important part of the description within the first 150 characters as that is what consumers can see when browsing Google Shopping.
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Currently nothing is automatically added in Google Merchant Center, except for the variant label, which is added in the product detail attribute. However this value is very poorly added, and will require optimization so you can benefit from better results in Google AI overviews.
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This should already automatically happen, you can verify if that is the case by going to Google Merchant Center > Products > Click on a product > view additional details > here you should see it. If if you don’t include the data using a supplemental feed.
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Structured data is not handled by the google and youtube app, this is something you need to add separately in your theme. Most themes already have this function, but if it’s complete is a different story.
Test it by pasting your product URL here: https://search.google.com/test/rich-results
And compare it with the requirements and recommendations here: Supported structured data attributes and values - Google Merchant Center Help
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Yes, best to add FAQs to the product landing page, and also add it in the data feed, for the attribute question_and_answer: Question and answer [question_and_answer] - Google Merchant Center Help
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Yes, but its still in beta. So not everyone has access to it. If you do, you will see AI overview in the Analytics section within Google Merchant Center. I personally don’t have access yet.
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The recommended size is 1500 * 1500 pixels. The format doesn’t matter, jpg, png or webp are all good. The role, this is the most important part, think of it this way. How do you decide to click on a listing or not? I would assume you look at the image first, if the image looks bad, you will most likely not click on the listing.
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This will be automatically based on your data feed and the users location. Use location can be based on IP, and language on the browser or computer’s defined language setting. So all you have to do is submit the data feed in Google Merchant Center for the countries you want to target, and Google will handle the rest automatically.
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That is not defined by Google AI, that is defined by your data feed. You need to check what it says in Google Merchant Center, does it say in stock or out of stock, and based on that Google AI will provide the details accurately based on this info.
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Currently promotions are not yes supported for the Google AI overviews, but as with all new things it will come at some point. As to automatic discounts, if it’s a shopping listing it will work the same way it does with all other shopping listings.
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That will be defined in your Google Merchant Center account, if you have set availability to pre order, then this is what Google will show.
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As of writing nothing yet. But this will come at some point. This question is the same as point 10 above.
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What you are talking about is UCP, that is something different than Google AI overviews. This is still in beta, and not yet publicly available.
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This is about point 13, it’s not yet publicly available. But in short yes it will all be automatic.
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The ones you need to focus on are the below:
To increase visibility in Google’s AI surfaces (AI Overviews, AI Mode, and conversational shopping), the highest-impact lever for products is your Google Merchant Center product data. Google’s AI shopping answers are built from the Shopping Graph, which is fed by your product feed, so the more complete and structured your data, the more accurately AI systems can understand, represent, and recommend your products when shoppers ask questions in natural language.
I’ve made a video guide covering this here: https://www.youtube.com/watch?v=p3Ay8iy8v0A
Start with these two established attributes:
Product Highlight [product_highlight] : short bullet-style selling points AI can quote directly: Product highlight [product_highlight] - Google Merchant Center Help
Product Detail [product_detail] : structured technical specs (section/name/value), ideal for spec-driven questions: Product detail [product_detail] - Google Merchant Center Help
Then add the new conversational attributes, which Google rolled out specifically to help AI systems and conversational agents understand product nuances. They’re optional, submitted via a supplemental feed, primary feed, or the Merchant API, and adding them won’t affect the approval status of your existing products:
Question and Answer [question_and_answer] : arguably the highest-leverage one. FAQ pairs in plain language directly match how people ask AI (“does it have a headphone jack?”). If your product pages already have FAQs, most of this data exists, it just needs mapping: Question and answer [question_and_answer] - Google Merchant Center Help
Variant Option [variant_option] : lets you declare variant dimensions beyond the standard color/size/material set (e.g. “graphics card”, “scent”, “wattage”), so AI doesn’t have to guess variant differences from titles. Used together with item_group_id: Variant option [variant_option] - Google Merchant Center Help
Item Group Title [item_group_title] : a clean shared title for the whole variant family, so AI can present the product group first, then drill into a specific variant: Item group title [item_group_title] - Google Merchant Center Help
Related Products [related_product] : declares accessories, spare parts, substitutes, “often bought with” relationships, which powers cross-sell answers like “what accessories work with this”: Related product [related_product] - Google Merchant Center Help
Document Link [document_link] : URLs to hosted PDFs (manuals, spec sheets, assembly guides, ingredient lists) that AI agents can reference for detailed questions your description doesn’t cover. Most valuable for electronics, appliances, furniture, tools: Document link [document_link] - Google Merchant Center Help
Popularity Rank [popularity_rank] : a 0–100 value ranking each product against the rest of YOUR catalog, helping AI answer “best” and “most popular” queries. Note this ranks your own products against each other, not against competitors, setting everything to 100 won’t help. Keep it updated as sales data changes: Popularity rank [popularity_rank] - Google Merchant Center Help
A few practical tips:
1. Don’t duplicate data, Google explicitly says not to repeat information already in description, product_highlight, or product_detail inside the conversational attributes.
2. Keep feed and landing page consistent, the details in your feed must match what’s shown on the product page.
3. If your catalog is large, start with your top-selling SKUs: question_and_answer and popularity_rank first, then variant_option + item_group_title if you sell variants.
And beyond these, aim for overall feed completeness, the full product data specification is here, and every accurately filled attribute is another fact AI systems can use: Product data specification - Google Merchant Center Help