Development · October 27, 2026
When a shopper asks for a product recommendation, the answer depends on whether product information is complete and trustworthy. That makes feed quality a practical foundation for ecommerce SEO and emerging AI-assisted discovery.
Use specific, descriptive product titles
Lead with the product type and the attributes customers use to choose: brand, model, size, material, compatibility, or intended use. Avoid promotional filler and keyword repetition. The title should match what the customer sees on the product page.
Complete every useful attribute
Include identifiers such as GTIN where available, accurate brand and SKU, variant relationships, price, currency, stock, shipping, and condition. For apparel add size and colour; for electronics include compatibility and key specifications. Use the platform’s defined fields rather than putting everything into a description.
Keep landing pages aligned
Check that feed URLs resolve to the exact product and variant, pages are indexable, prices match, and availability updates promptly. Use canonical URLs thoughtfully for variants. Make product images high quality and representative; do not use an image that hides the actual item.
Build helpful page content
Answer buyer questions with original specifications, fit or setup guidance, care instructions, comparison details, and clear return information. Reviews should be genuine and attributable. Product pages need to help a person make a decision, not just repeat manufacturer copy.
Run a recurring feed audit
- Export the top products and compare each feed field with its live page.
- Fix missing identifiers, inconsistent variants, stale stock, and broken URLs first.
- Review feed diagnostics after every major catalogue or platform change.
- Monitor product impressions, clicks, conversions, and disapprovals by category.
There is no universal “AI feed” guaranteed to earn placement. Reliable, structured facts improve eligibility and reduce shopper confusion across the channels your business already uses.