Product Page AEO Checklist

Product pages are where AEO has the most direct revenue impact. When AI recommends a specific product, the conversion path is short: the user clicks through already intent on buying. This checklist ensures your product pages have every signal AI engines need to confidently cite your products.

The Checklist

Product Schema (Essential)

Your product pages need complete Product schema. AI engines use this to understand what your product is, what it costs, and how it’s rated.

• name - Full product name
• description - Clear, factual description (150-300 words)
• brand - Brand name with Brand type
• image - Multiple product images (primary + gallery)
• offers - Current pricing with:
  • price and priceCurrency
  • availability (InStock, OutOfStock, PreOrder)
  • priceValidUntil (if applicable)
  • url - Direct link to purchase
• aggregateRating - Average rating and review count
• review - At least 3 featured reviews
• sku or gtin - Unique product identifier
• category - Product category
• additionalProperty - Key specs (size, color, material, etc.)

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Your Product Name",
  "description": "Clear, factual description...",
  "brand": {
    "@type": "Brand",
    "name": "Your Brand"
  },
  "image": [
    "https://yoursite.com/product-front.jpg",
    "https://yoursite.com/product-side.jpg"
  ],
  "offers": {
    "@type": "Offer",
    "price": "99.99",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock",
    "url": "https://yoursite.com/product"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.6",
    "reviewCount": "284"
  }
}

Answer-First Product Description

• Opening sentence answers “What is this product?” in under 25 words
• Key specs listed in first 100 words (not buried in marketing copy)
• Use cases clearly stated who is this for?
• Differentiator what makes it different from alternatives?
• Concrete details specific numbers, measurements, capabilities

Template:

[Product Name] is a [category] that [primary function] for [target user]. Key features include [feature 1], [feature 2], and [feature 3]. Priced at [price], it [key differentiator compared to alternatives].

Reviews and Social Proof

• Review schema on individual reviews
• AggregateRating schema with accurate counts
• Reviews include specific use cases and product attributes
• Review dates visible (recency matters)
• Response to negative reviews shown (signals authenticity)
• Minimum 10+ reviews for credibility threshold

FAQ Section

• 3-5 common questions about this product
• FAQPage schema implemented
• Questions match what buyers actually ask:
  • “Is [product] compatible with [thing]?”
  • “How does [product] compare to [alternative]?”
  • “What’s included with [product]?”
  • “How long does [product] last?”
  • “Does [product] work for [specific use case]?”

Product Images

• Primary image with clean, white background
• Multiple angles (front, side, back, detail)
• Product in use / lifestyle context
• Descriptive alt text with product name and key attributes
• Image dimensions at least 800x800px

Technical SEO

• Unique title tag: “[Product Name] - [Key Feature] | [Brand]”
• Meta description includes product name, price range, and key benefit
• BreadcrumbList schema (Home > Category > Product)
• Canonical URL set correctly
• Page loads in under 3 seconds

Content Freshness

• Price is current
• Availability status is accurate
• Reviews include recent entries
• “Last updated” or review date visible
• Seasonal or time-sensitive claims are current

Priority Order

If you can’t do everything at once, prioritize in this order:

1. Product schema with price and availability (highest citation impact)
2. Answer-first description with key specs
3. AggregateRating schema
4. FAQ section with schema
5. Review markup on individual reviews
6. Image optimization with alt text

How Genrank Automates This

Genrank’s Entity dimension specifically checks whether your product pages have complete, structured product data. The audit identifies missing schema properties, unclear product descriptions, and opportunities to add FAQ content ranked by their impact on AI citation rates.