Perplexity Shopping: Catalog Preparation and Visibility Measurement (2026)

Perplexity has introduced shopping features that show products inside its answers when a query has purchase intent. For an ecommerce store, that means a buyer can ask "gift idea for my mom who loves running, budget $80" and receive an answer with specific products, instead of typing "women's running shoes" into a search engine.

This guide explains what to review in your catalog and on your website so your products are well described and eligible, and how to measure whether they appear.

What Perplexity Shopping is and what to check first

Perplexity Shopping is the set of shopping features inside Perplexity's answers: product cards with an image, price and, depending on the case, purchase options. Perplexity has changed these features over time, along with its integrations with merchants and payment platforms and the countries and plans in which they are available.

Because integrations, countries and plans change, check Perplexity's official information and your ecommerce platform's documentation before planning:

• Whether shopping features are available in the countries where you sell.
• What program or integration exists for merchants and what its requirements are.
• Whether your platform (Shopify or another) offers an integration and how it is enabled.

What is documented is the crawler: according to Perplexity's bot documentation, PerplexityBot is used to surface and link websites in its results, and Perplexity recommends allowing it in robots.txt to appear in them.

How it differs from Google Shopping

Some practical differences from a Google Shopping campaign:

1. Queries tend to be conversational. In Google Shopping you work with queries such as "women's running shoes size 8." In an assistant, the question may be "a running shoe to start training without getting injured, 155 lbs, asphalt, up to $100." Your product page needs the data to answer questions with several conditions: use, size, weight, surface, price.

2. The relationship with advertising is different. Google Shopping combines paid and free listings from Merchant Center. For Perplexity, check its official information on whether sponsored formats exist in your market; either way, your product page and public information about the product are what you can control.

3. The product page and surrounding content count. Beyond any feed you use, Perplexity searches the web: it can read your product page, reviews, buying guides and third-party comparisons. A thin product page leaves little useful information even if your feed is correct.

This third difference ties into GEO for ecommerce: the product page, reviews and editorial content about the product are all part of the same information.

What information to keep complete

There is no public list of selection factors. These are the elements worth taking care of, because they describe the product explicitly and verifiably:

1. Complete, validated Product schema. Price, availability, brand, identifiers (GTIN, SKU), images and, if you have them, ratings. Complete markup consistent with the page avoids ambiguity; it does not guarantee inclusion.

2. Real reviews. Reviews on your site and on external platforms provide independent information about the product. Mark up only reviews shown on the page and follow the structured data guidelines.

3. Related editorial content. If you sell a gravel bike, your own guide or an industry outlet's guide explaining who each model is for adds context the product page alone does not have.

4. Up-to-date price and stock. If the price or availability in the schema does not match the page, an assistant can show wrong data. Generate the markup on the server from the same data as the page and avoid caches that leave it outdated.

How to prepare your catalog step by step

Seven concrete actions:

Step 1: Audit your current Product schema. Run a representative sample of products (for example, your 20 best sellers) through validator.schema.org and Google's Rich Results Test. Fix errors in Product, Offer and AggregateRating before moving on.

Step 2: Implement complete schema markup. An example with the usual fields:

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Exact product name",
  "description": "Your own product description: who it is for, use, materials and dimensions",
  "image": ["url1.jpg", "url2.jpg", "url3.jpg"],
  "sku": "SKU-12345",
  "gtin13": "1234567890123",
  "brand": { "@type": "Brand", "name": "Your brand" },
  "offers": {
    "@type": "Offer",
    "url": "https://your-store.com/product",
    "priceCurrency": "USD",
    "price": "89.99",
    "availability": "https://schema.org/InStock",
    "priceValidUntil": "2026-12-31",
    "shippingDetails": {
      "@type": "OfferShippingDetails",
      "shippingDestination": { "@type": "DefinedRegion", "addressCountry": "US" }
    }
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.7",
    "reviewCount": "234"
  }
}

The example values are fictitious. Use gtin13 only if you have a real GTIN, and include aggregateRating only if the ratings are shown on the page.

Step 3: Publish supporting editorial content. For your main categories, publish guides that answer real use cases ("which [category] to choose for [use case]") and explain who each product is for, including other brands' products if that makes the guide useful. See how to write content that AI will cite.

Step 4: Review the integrations available for your platform. If you sell on Shopify or another platform, check its official documentation and Perplexity's for an integration or merchant program available in your country and its requirements. Do not enable anything based only on screenshots or third-party guides.

Step 5: Take care of reviews. Ask real customers for reviews, show them on the product page and, if you use an external platform (Trustpilot, Yotpo, Reviews.io or another), make sure the Review markup reflects what is visible.

Step 6: Keep information current. Generate schema on the server from inventory data. When a product sells out, the page and markup should show OutOfStock as soon as possible; set a reasonable update window for your store and check it.

Step 7: Create product pages in your markets' languages. If you sell in Latin America, your product pages and schema should be in Spanish; if you also sell in other European markets, consider versions in English or the local language. Measure questions in each language separately, because answers can vary.

Additional schema fields that can add context

Three schema.org properties that describe the product better:

audience: who the product is for.

"audience": {
  "@type": "PeopleAudience",
  "suggestedMinAge": 18,
  "suggestedGender": "female",
  "audienceType": "beginner runners"
}

isRelatedTo: related or complementary products, which help describe the usage context.

hasMerchantReturnPolicy: return policy. Many buyers check it before deciding, so it is worth making it explicit.

"hasMerchantReturnPolicy": {
  "@type": "MerchantReturnPolicy",
  "applicableCountry": "US",
  "returnPolicyCategory": "https://schema.org/MerchantReturnFiniteReturnWindow",
  "merchantReturnDays": 30,
  "returnMethod": "https://schema.org/ReturnByMail",
  "returnFees": "https://schema.org/FreeReturn"
}

If you sell mainly on marketplaces

If your main sales channel is Amazon, Etsy, eBay or similar, you do not control the markup of the marketplace's product page. Three options:

1. Keep your own website with a catalog. Even if most of your sales are on a marketplace, your own website with complete product pages and schema is a source you do control.

2. Consider your own store as a complement. A store on Shopify or another platform lets you manage your own product pages and, where it exists, use the integration available in your country.

3. Complete your marketplace listings. Your own descriptions, quality images, enhanced content (A+ Content on Amazon) and real reviews improve the information available about your product on that page, although you do not control how assistants use it.

[Key GEO metrics](/en/blog/geo-metrics-kpis-ai-visibility) for measuring your presence in Perplexity Shopping

Five metrics worth recording:

1. Inclusion rate: how many commercial queries in your category surface your product.

2. Position in the answer: where your product appears (first, second, third…). It is a measure of relative visibility, not of purchase intent.

3. Clicks to product: if your product appears but gets few clicks, review the image, price and how it is described.

4. Cross-query consistency: if you appear for "running gift for women $80" but not for "beginner women's running shoe," check whether your product page contains the data that answers the second question.

5. Conversion from Perplexity: analyze visits with the perplexity.ai referrer in your analytics and, if you control the link, add UTM parameters to the URLs you provide in integrations or feeds. Do not use UTMs in canonical URLs or in schema.

5 mistakes that weaken your catalog information

1. Incomplete or erroneous markup. A Product without price, availability or identifiers leaves gaps that an assistant cannot fill safely.

2. Outdated prices. Schema says $89 but the page says $99. The buyer gets wrong data and the store loses credibility.

3. Low-resolution images. Product cards display your image; use sharp images at the size the platform asks for.

4. Description copied from the manufacturer. If your description is identical to many other sellers', your page adds no information of its own. Add usage data, dimensions, common questions and differences.

5. Missing trust information on the site. Without clear contact details, support and return policy, buyers cannot check that the store is legitimate. Publish them and describe them with Organization (including a ContactPoint via contactPoint) and MerchantReturnPolicy.

Preparing a catalog for this surface is not the same as measuring it: separate eligibility on one surface from the multi-platform measurement described in tracking AI product recommendations at SKU level.

FAQ

Do I have to pay Perplexity to appear in Perplexity Shopping?

Check Perplexity's official information for your market, because its merchant programs and commercial formats have changed over time. What you can control without paying is the quality of your product pages, your markup and PerplexityBot's access to your site.

Does Perplexity Shopping work outside the United States?

Availability by country has changed over time. Check Perplexity's official information for your country and the merchant program you are interested in, and make sure your shippingDestination includes the countries you ship to.

How long does it take for my catalog to start appearing after I optimize?

There is no published timeline. It depends on when your pages are crawled, the integration you use and the alternatives available for each query. Record the same queries on different dates to check.

Can I appear in Perplexity Shopping if I only sell B2B?

The shopping features are designed mainly for consumer products. If you sell B2B, it is usually more useful to work on your visibility in Perplexity's general answers, with clear product or service pages and editorial content.

Is this relevant if I only sell services, not physical products?

Perplexity Shopping focuses on products. For services, general visibility optimization in Perplexity's answers applies, with Service schema instead of Product.

Does Perplexity Shopping compete with ChatGPT Shopping?

ChatGPT also has shopping features, with its own documentation for merchants. Each assistant selects products with its own criteria, so measure them separately. Many of the improvements in this guide (complete product pages, correct markup, real reviews, current information) are useful in both, but they do not guarantee results in either.

Measuring your brand's visibility in Perplexity

Mentio analyzes, depending on the plan, whether Perplexity and other assistants mention your brand in questions about your category, in what position and alongside which competitors. It does not audit catalogs or detect Perplexity Shopping product cards; the product page and catalog review in this guide is done in your store and with schema validation tools. For how ChatGPT handles shopping and visibility, see our dedicated guide.

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