A product page AI can read states facts as sentences that can be quoted: materials, specs, who it suits and who it doesn't, shipping time and how returns work, plus FAQs and structured product data. Many product pages have only big images and adjectives like "premium upgrade" or "crowd favorite"; shoppers enjoy them, but AI has nothing to cite. When AI answers a question like a backpack for office workers, it looks for pages that answer it directly. Get the six things below right and both shoppers and AI will understand the page, with no exaggeration or superlatives needed.
1. Put specs in text, not only in images
Many stores turn size charts and material details into one long image. Shoppers can see it, but AI may not be able to read it. Write dimensions, weight, materials, capacity, origin and warranty as text on the page, with images as a supplement. Give images short descriptions (alt text) saying what they show.
2. Say who it suits and who it doesn't
Suits people who commute daily and carry a 14-inch laptop is far more useful than multi-functional. You can also say who it doesn't suit, for example not designed for long hikes. Stating where it doesn't fit helps shoppers avoid buying the wrong thing, and helps AI decide whether to mention you when answering a specific need.
3. Put shipping and returns on the product page
Before ordering, shoppers often ask how long delivery takes and whether they can return the item. Add a short note on the product page about shipping time, delivery methods and coverage, and how returns and exchanges work, linking to the full return policy. These notes should match what customer service says.
4. Answer what shoppers ask before buying
From your customer service records, pick the questions shoppers ask again and again before buying, such as how to choose a size, how to clean it or whether gift wrapping is available, and turn them into an FAQ. Answer each in a sentence or two, directly.
5. Add structured product data
Structured data is markup inside the page, written for search engines, that uses a fixed format to say what the product is, which brand, how much it costs, whether it's in stock, and how shipping and returns work. Common types are Product and Offer (price and stock), and FAQPage for FAQs. Platforms like Shopify and WooCommerce usually include some of this, but the fields may not be complete, so check. Marked-up content must match what's visible on the page, and ratings may only come from real buyers.
6. Skip exaggeration and superlatives
Claims like "number one" or "the best" aren't always believed by shoppers, aren't always cited by AI and can cause problems under advertising and consumer rules. Rewrite them as facts that can be checked: which materials, which tests were passed (only real ones), weight, warranty length. Some product categories, such as food and cosmetics, have their own advertising rules, so follow the rules for your category.
| Common wording | Write this instead |
|---|---|
| Premium upgrade | Which material the outer layer and the lining use |
| Huge capacity | Capacity in liters and what it can hold |
| Crowd favorite | Who it suits and who it doesn't |
| Fast shipping | How many business days until dispatch, and delivery coverage |
| Worry-free after-sales | Warranty length and how returns and exchanges work |
How to check after the changes
Run three checks once the changes are live. First, use Google's Rich Results Test to see whether the structured data has errors. Second, copy the product page text and read it on its own, without the images: can you still tell what the product is, who it suits and how long delivery takes? Third, ask a few AI platforms the questions shoppers ask and see whether they describe your product's specs and who it suits correctly. Where they get it wrong, it's often because the page doesn't say it clearly, or different pages say it in different ways.
The short version
A product page AI can read relies on clear, checkable facts, not adjectives: specs, who it suits, shipping and returns, plus FAQs and structured data.
Frequently asked questions
- We have many products. Does every page need rewriting?
- Not all at once. Start with products that sell well or that shoppers ask about often, set a standard format, then apply it to the rest.
- Do we need to write code for structured data?
- Not necessarily. Platforms like Shopify and WooCommerce usually include some, and plugins or themes may add more; check that the fields are complete and match the page, and get help for what's missing.
- Can we put online praise on product pages?
- You can show real buyers' reviews and say where they came from; don't write or rewrite reviews yourself.
- Can product pages describe benefits?
- Only facts you can back up, such as materials, specs and test results. Products like food and cosmetics have their own advertising rules and can't claim medical effects; check the rules for your category before writing.