Product Information for AI Shopping: A Merchant Checklist

A product can be difficult to recommend for a simple reason: the information needed to judge fit is missing. A shopper asking for an item that fits a small shelf needs dimensions, not another claim about beautiful design. Use this checklist to improve the page for people first. It can also make the information easier for software to interpret. No checklist guarantees selection by an AI service. 1. Identify the exact item Publish the brand, product name, model, and variant. Use consistent identifiers across your page, documentation, and supported feeds. Explain meaningful differences between sizes, regions, generations, and bundles. 2. Make fit testable Provide relevant dimensions with units, materials, power requirements, compatibility, and intended use. Include the limits: unsupported devices, unsuitable environments, or accessories required for a feature. Replace “fits anywhere” with the actual measurements and clearance requirements. Replace “works with your setup” with supported systems and applicable versions. 3. Separate evidence from illustration Link a decisive claim to an applicable manual, a documented test, or a clearly attributed observation. Explain test conditions when reporting performance. Do not present manufacturer estimates as independent measurements. Label generated lifestyle images. Pair them with real product photographs and measurements, since an illustrative scene cannot verify fit or performance. 4. Make the commercial terms clear State where the item can ship, how availability is represented, who provides warranty service, and which return conditions apply. Distinguish a preorder or concept from currently available stock. Avoid publishing stale promises that the checkout contradicts. 5. Use structured data appropriately Google's product documentation describes supported product-search markup. The markup should match the information shown on the page. Review the official product guide. (https://developers.google.com/search/docs/appearance/structured-data/product) Special AI markup is not a listed requirement for Google's AI search features. Read the AI search guidance. (https://developers.google.com/search/docs/appearance/ai-features) 6. Review a sample information record The following is a blank editorial template, not a real product listing: • Identity: brand, model, variant, canonical product URL. • Fit: dimensions with units, compatibility, intended use, known limits. • Evidence: claim, supporting source, method or conditions, date checked. • Buying terms: seller, availability status, delivery coverage, warranty, returns. • Visuals: actual product photographs and labeled illustrative images. • Maintenance: owner responsible for updates and a correction contact. 7. Test the page with a real question Ask a colleague unfamiliar with the product whether it would fit a specific use case. Have them use only the published sources. Record where they have to guess, then improve those fields. GenPark Personal Agent approaches shopping through needs and comparisons. Clear product information makes a candidate easier to assess. The quality of the eventual recommendation still depends on the request, coverage, and system behavior. Frequently asked questions Should every article use Product schema? No. Use markup appropriate to the page and the supported search feature. An informational article is not automatically a product offer. How often should I change the date? Update the page when the information changes. A fresh date alone is not evidence of a substantive revision.