Perplexity Shopping: How to Optimize Your Store for AI

Shopping with artificial intelligence (AI) is on the rise, and that’s good news for ecommerce companies that are prepared to serve this new consumer behavior. Traffic to US retail websites from AI sources grew 693% during the 2025 holiday season, according to Adobe Analytics. A follow-up report from Adobe found that AI-referred shoppers were 33% less likely to bounce from a retail site; they also converted 31% more than those from other sources.

Perplexity is one of the AI platforms driving this change in online shopping behavior. Here’s what you need to know about how Perplexity Shopping works, how it compares to ChatGPT and Google AI Mode, and how to optimize your store so your products show up when AI-powered shoppers are ready to buy.

What is Perplexity Shopping and how does it work?

Perplexity Shopping is the ecommerce feature built into Perplexity, an AI platform that answers users’ questions with responses it sources and cites in real time from across the web. When a user asks a shopping-related question like “What’s the best DSLR camera under $2,000?” Perplexity generates a written answer with cited recommendations. 

Users can search for any type of product on Perplexity Shopping, but the tool tends to save shoppers the most time when making research-heavy purchases in categories like electronics, home goods, and skin care, where there are more specs, reviews, and trade-offs to compare.

Clicking the Shopping tab at the top of the results page displays those same recommendations as product cards complete with images, pricing, and a summary of pros and cons synthesized from customer reviews. The shopper can select a product card for more detail or ask follow-up questions.

From there, they can add an item to their cart or complete a purchase directly in the chat. For merchants, this means customers can discover, compare, and purchase products without ever visiting your website. 

Perplexity sources product data through integrations, including with Shopify—so if you’re a Shopify merchant, your product data can sync with Perplexity through Shopify’s infrastructure. Because AI platforms pull from similar data sources, the work you do to optimize for Perplexity also improves how your products appear in ChatGPT and Google AI Mode.

While Perplexity hasn’t published a detailed ranking algorithm, joining the Perplexity Merchant Program can improve visibility because it gives the system access to more complete product data. Perplexity has confirmed that results are organic; brands can’t pay for placement. Research from Semrush suggests that structured product data, customer reviews, accurate pricing, and stock availability all influence whether products are surfaced by AI shopping platforms, including Perplexity.

Perplexity’s in-chat purchase option is Instant Buy, a new feature built with PayPal as the payment method. Shoppers can complete a purchase from participating retailers without leaving Perplexity—PayPal handles billing information and checkout, and the merchant is responsible for fulfillment.

Perplexity Shopping vs. ChatGPT vs. Google AI Mode

Perplexity isn’t the only AI platform with shopping features: ChatGPT and Google AI Mode also produce curated lists of products with pricing, reviews, and purchasing options—either through an external link or in-chat checkout. All three platforms are free for shoppers to use. 

For merchants

The platforms differ in their checkout infrastructures. Perplexity processes in-chat purchases through PayPal. Google AI Mode supports in-chat checkout powered by Shopify; if you’re eligible and opt in, those orders flow into your Shopify admin like any other sale. ChatGPT surfaces products from merchants via Shopify Catalog and directs buyers to complete checkout on the merchant’s own store in an in-app browser—using the merchant’s existing payment methods, including Shop Pay. Those orders also flow into the Shopify admin with AI channel attribution.

Eligibility and activation vary by platform. Perplexity requires joining its Merchant Program. For Shopify merchants, products are automatically discoverable in ChatGPT via Shopify Catalog—no opt-in required. For Google AI Mode, merchants can opt in through Agentic Storefronts in the Shopify admin.

For shoppers

All three platforms let shoppers upload a photo of a product and find similar items available online. Perplexity calls this feature Snap to Shop, and it’s available to Pro subscribers. Google AI Mode also presents results in shoppable image grids, where each image links to a product listing with price and merchant details. Understanding how shoppers use these picture-based tools can inform your product photography and listing strategy.

Beyond image matching, Perplexity Pro and Google AI Mode both offer virtual try-on tools that let shoppers preview how apparel will look on their body using AI-generated models or avatars. ChatGPT supports image-based product search within its Shopping Research feature, though it doesn’t offer virtual try-on or visual product grids. 

How to optimize your product data for Perplexity shopping

1. Audit and complete your product data
2. Build up authentic customer reviews
3. Write contextual product descriptions
4. Add FAQs to your store
5. Connect to AI commerce channels
6. Keep your product data current

The merchants that show up consistently across AI platforms are those with product data that’s accurate, complete, and structured so machines can read it. As Shopify’s enterprise team puts it, product data quality is what makes products discoverable in the AI era. If you’re just beginning to optimize your ecommerce site for AI platforms like Perplexity, start with your product data.

1. Audit and complete your product data

Audit your product catalog to ensure you have every required and recommended field filled for each listing—including Google product category, custom metafields for attributes like material or dimensions, and product identifiers like Global Trade Item Numbers (GTINs) or Manufacturer Part Numbers (MPNs). 

Product identifiers and complete attribute data help AI models match your products to queries—unlike human shoppers, AI relies primarily on structured data rather than visual inference. A person can look at a photo of a tote bag and infer that it could hold a laptop. AI shopping platforms can process images too, but they rely primarily on structured product data (dimensions, materials, weight capacity) to match products to a shopper’s query. When that information is missing in a product description, products can get overlooked in AI-generated results, even if they’re a relevant option. 

If you’re a Shopify merchant, Shopify Catalog automatically syndicates your product data to connected AI platforms, including Perplexity, ChatGPT, and Google AI Mode. 

Structured data tells generative engines what the content means so they can accurately analyze and classify web pages—for example, that $89 is a price and 4.7/5 is a customer rating. Shopify themes include built-in labeling for page elements like prices, ratings, and availability. If you’re running a heavily customized Shopify theme, double-check that your structured data is rendering correctly.

2. Build up authentic customer reviews

Because Perplexity draws from customer reviews to build its product cards, the quality and volume of your reviews significantly influences how your products show up in results. One practical starting point is to encourage customers to share reviews through an automated email flow or a review app, like Judge.me or Yotpo. Consumers tend to trust a mix of authentic feedback more than a product with 200 five-star reviews and nothing else. It also gives AI more material to work with when surfacing similar products. 

3. Write contextual product descriptions 

The language in your descriptions shapes how AI represents your product—Perplexity pulls from these descriptions (alongside reviews) when summarizing options for buyers to consider. 

The best descriptions are readable to both AI models and humans. Language that a shopper would find useful on a product page is also what gives AI models the context they need to match your product to a query.

Instead of a description that reads like a spec sheet—such as “beeswax candle, 8 oz., cotton wick”—write your product descriptions to appeal to customers, including context, use case, and sensory details. For example: “A gender-neutral scent, made with beeswax, 50-hour burn time, and suited for home offices or living rooms.”

4. Add FAQs to your store

Adding a dedicated FAQ section to your store is a best practice for AI discoverability across platforms. Semrush’s research found that Q&A formatting is one of the most effective content structures for AI search. When your policies and product details are organized as clear Q&A pairs, AI answer engines like Perplexity can crawl and reference that information more reliably than when it’s formatted in dense paragraphs or page footers.

Format each FAQ with the question as the heading and the answer as a short paragraph, and add FAQ schema markup—code that labels the Q&A pairs on your page so AI systems can identify and interpret them.

For Shopify merchants, Shopify Knowledge Base handles this automatically—it structures your store policies and other relevant information in an FAQ format that AI platforms can index and reference. For example, you can add your return policy as a Knowledge Base entry with a clear question (“What is your return policy?”) and a concise answer (“30-day returns on unworn items with tags attached”). 

5. Connect to AI commerce channels

AI platforms are becoming sales channels, and connecting your store to them gives your products the opportunity to appear—and close sales—directly in AI-powered conversations. The specifics of connecting to these channels depends on your ecommerce platform. Check whether your platform offers integrations with AI shopping channels, or look into applying for the Perplexity Merchant Program. It’s free and lets retailers share product data directly with Perplexity.

For Shopify merchants, Agentic Storefronts are the way to connect. While Shopify Catalog syndicates product data (making your listings discoverable across AI platforms), Agentic Storefronts enable in-chat checkout, so shoppers can buy directly in the chat. Otherwise, shoppers who find your product in an AI conversation are redirected to your online store to complete the purchase. 

Your products are automatically discoverable in ChatGPT via Shopify Catalog—no setup required. For Google and Copilot, go to Settings > Sales Channels in your Shopify admin and toggle direct checkout on or off per channel. For Perplexity, this integration makes your product listings discoverable in Perplexity’s results. Checkout is handled through PayPal’s Instant Buy, not through Shopify’s checkout, so those orders are managed through PayPal rather than your Shopify admin. For Google AI Mode, Agentic Storefronts enable in-chat checkout powered by Shopify. For ChatGPT, buyers complete checkout on your online store in an in-app browser—orders from both channels flow into your Shopify admin.

Agentic Storefronts are in early access—check your Shopify admin for availability.

6. Keep your product data current

Optimizing your store and your product data for AI shopping is an ongoing process. Review your ecommerce platform’s dashboard regularly for sync errors across connected AI channels, and monitor that your pricing, availability, and shipping times match what’s live on your site. As your product catalog changes—as you add SKUs, update descriptions, and change seasonal inventory—make sure your product data stays complete and current.