AI visibility for online shops: get your products into AI answers

Short answer: AI engines can only recommend products they can read: a crawlable product page with Product and Offer schema (price, currency, availability), a unique description, and a shop they can identify and trust. SearchBind samples your product pages in a free scan and writes the fixes in a one-time Website report.

A product answer from an AI engine is built from pages it can fetch and understand. It needs the product name, the price in a currency, whether it is in stock, and something that makes this product fit the question: material, size, use, a comparison. When that data is missing or exists only in a picture, the engine picks a shop that spells it out.

Small shops often run on a good platform with default settings. The theme adds some schema, but not always the price or the availability, and product descriptions are copied from the supplier. That is the same text as on twenty other shops, so there is no reason to quote yours.

The issues we look for first

These are the public checks that matter most for a shop. For D3 the scanner samples one of your product pages, so the result reflects your real product template.

• D3Product pages without Product and Offer schema. Each product page needs Product JSON-LD with an Offer that carries price, priceCurrency and availability. A shop needs no separate pricing page; it needs this on every product.
• C8Thin or copied product descriptions. A supplier description shared by many shops gives an engine no reason to cite you. Write at least a short, unique paragraph per product, and keep page titles unique.
• C5Specs only in images or prose. Sizes, materials and dimensions in a real table or list are easy to extract. The same facts inside a photo or a long paragraph are not.
• B1
  B2The shop itself is hard to identify. Organization schema with your logo and sameAs links to the profiles you run (Instagram, TikTok, YouTube, Pinterest) tells AI engines your shop is a real, known brand.
• B8No visible privacy policy or terms. Buyers and payment providers look for them before they pay. Link your privacy policy, terms and returns information from the home page and name who runs the shop.
• D6No reviews with numbers. Show real product reviews on the page and mark up only what is visible with AggregateRating. Concrete details from buyers ("fits true to size", "arrived in 2 days") answer the questions shoppers ask.

Codes match the public 61-point GEO checklist. The free scan also runs the 10 high-impact checks that are explained only in paid reports.

Example fix

This Product JSON-LD with an Offer covers D3 for one product page. Your platform or theme should output it on every product, filled from the real product data. Only include the rating if those reviews are visible on the page.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Trail Boot 2, waterproof leather hiking boot",
  "image": "https://example.com/images/trail-boot-2.jpg",
  "description": "Waterproof full-grain leather hiking boot with a Vibram sole, 680 g per boot.",
  "sku": "TB2-BRN",
  "brand": { "@type": "Brand", "name": "Example Outdoor" },
  "offers": {
    "@type": "Offer",
    "url": "https://example.com/products/trail-boot-2/",
    "price": "139.00",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock",
    "itemCondition": "https://schema.org/NewCondition"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.6",
    "reviewCount": "38"
  }
}
</script>

Check the result with a structured data testing tool after you change the theme. A common bug is a price without a currency, or an Offer that always says InStock, even for sold-out products.

What the Website report gives you

• Every issue on your site, all 61 checks, with the reason and a priority, in plain English.
• Ready-to-paste fixes: robots.txt, llms.txt and JSON-LD written for your pages, including the Product and Offer fields your product template is missing.
• 4 to 6 content drafts for the pages your buyers ask about, for example a buying guide for your main category or a size and fit page. You edit them; nothing is published for you.
• A one-time AI visibility check: 10 questions your buyers ask, run once with LLM web search, showing whether you appear and who is named instead.
• Delivered within 24 hours as a private report page plus an email. $59 one-time, no subscription.

Rather not touch the code? We can help: contact us for details.