AI shopping surfaces condense research and purchase decisions into answer‑like tiles. To earn inclusion, your pages must be both technically eligible (schema, consistency, speed) and LLM‑parsable (clear headings, tables, quotable specs). This guide outlines a dual SEO + GEO approach for product visibility.
What are ChatGPT Shopping and AI Tiles?
They are AI‑powered shopping experiences that synthesize product options, specs, prices, and reviews into compact tiles within conversational and search UIs. Inclusion relies on structured data, consistent merchant signals, and extractable page content.
Eligibility checklist (SEO + GEO)
- Product landing pages with canonical URLs and fast, mobile‑friendly performance
- Accurate, complete
Product
schema withOffer
/AggregateRating
/Review
- Consistent price, availability, and images across site, feeds, and retailers
- Extractable specs in tables; concise definitions and key takeaways near top
- Freshness cadence for price/availability and versioned models
- Strong alt text for images; transcripts/captions for videos (multimodal readiness)
Structured data that unlocks tiles
Implement JSON‑LD and keep it in sync with visible content.
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Acme Smart Kettle 1.7L",
"image": [
"https://example.com/images/kettle-front.jpg",
"https://example.com/images/kettle-side.jpg"
],
"description": "1.7L smart kettle with temperature presets, auto‑shutoff, and app control.",
"sku": "ACM-SK-1700",
"gtin13": "0123456789012",
"brand": { "@type": "Brand", "name": "Acme" },
"additionalProperty": [
{ "@type": "PropertyValue", "name": "Capacity", "value": "1.7 L" },
{ "@type": "PropertyValue", "name": "Power", "value": "1800 W" }
],
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.6",
"reviewCount": "248"
},
"offers": {
"@type": "Offer",
"url": "https://example.com/products/smart-kettle-17l",
"priceCurrency": "USD",
"price": "79.99",
"priceValidUntil": "2026-01-31",
"availability": "https://schema.org/InStock",
"itemCondition": "https://schema.org/NewCondition",
"shippingDetails": {
"@type": "OfferShippingDetails",
"shippingDestination": { "@type": "DefinedRegion", "addressCountry": "US" },
"deliveryTime": {
"@type": "ShippingDeliveryTime",
"handlingTime": { "@type": "QuantitativeValue", "minValue": 0, "maxValue": 1, "unitCode": "DAY" },
"transitTime": { "@type": "QuantitativeValue", "minValue": 2, "maxValue": 5, "unitCode": "DAY" }
}
}
}
}
Tips:
- Keep identifiers (
gtin
,mpn
,sku
, brand) accurate; avoid conflicts across pages - Ensure displayed price/availability matches
Offer
- Add
Review
objects (with dates) where compliant and authentic
Page structure LLMs can parse (GEO)
- Put a one‑paragraph product definition near the top; keep it quotable
- Use a spec table with unambiguous headers and units
- Add a comparison table (vs previous model or alternatives) where relevant
- Provide a short pros/cons list and usage scenarios
- Include a 5–8 item FAQ reflecting real buyer prompts
Data hygiene and retailer consistency
- Align titles, prices, images, and reviews across your site, feeds, and resellers
- Standardize color/size naming and bundles; avoid duplicate canonical SKUs
- Keep old model pages live with clear versioning to satisfy historical queries
Multimodal readiness
- High‑res images with descriptive
alt
- Short product videos with captions/transcripts
- Lifestyle images that clarify use cases (paired with concise captions)
Freshness and seasonal updates
- Update
priceValidUntil
, stock status, and promotions on change - Stamp pages with “Last updated” and note major revisions (e.g., v2 firmware)
- Schedule quarterly audits for spec accuracy and link integrity
Technical SEO must‑haves
- Mobile performance (Core Web Vitals), HTTPS, clean canonicalization
- XML sitemaps including product detail pages with
lastmod
- Avoid heavy client‑only rendering for essential copy/specs
Measurement and iteration
- Track AI mentions/citations for priority SKUs and categories
- Monitor referral patterns from AI experiences and retailer listings
- Analyze CTR on product tiles where data is available; A/B test titles/images
- Observe branded search and direct traffic shifts around launches/promos
FAQ
Do tiles require reviews?
Strong signals include authentic Review
/AggregateRating
, but eligibility varies. Start with complete Product
+ Offer
and add reviews when compliant.
Are feeds enough?
Feeds help, but visible page content and JSON‑LD must match. LLMs favor extractable, human‑readable specs and summaries.
What if price changes frequently?
Automate Offer
updates and set sensible caching at the edge; keep visible price in sync.
Key takeaways
- Pair complete
Product
/Offer
/Review
schema with extractable spec tables - Maintain data consistency across your site and retailers to avoid conflicts
- Keep pages fresh, fast, and clearly structured to earn and retain tile inclusion
Last updated: 2025‑10‑08
About the Author
Vladan Ilic
Founder and CEO