The five levers you control
1. Structured product data
Start with attributes. Every product needs explicit, consistent values for the facts a shopper would filter on: size, dimensions, weight, material, color, compatibility, ingredients, care instructions, GTIN or SKU, and availability.
A quick test: copy your product description into a spreadsheet and ask whether a stranger could answer ten common buyer questions from it alone. If not, the agent cannot either.
The broader shift is described well in Shopify’s piece: AI visibility is a move toward catalog discipline, where explicit attribute data replaces human visual interpretation. Our structured data checklist for ecommerce product pages walks through the fields in detail.
2. Schema markup and feed hygiene
This is the plumbing. StoreFleet’s review of Perplexity and Google AI Mode for Shopify lists the standard hygiene tasks: fix product feed errors in Google Merchant Center, add Product, Offer and AggregateRating schema, and make sure robots.txt allows AI crawlers such as PerplexityBot.
Check these in order:
- Open yourstore.com/robots.txt and confirm PerplexityBot is not disallowed.
- Run a product page through a schema validator and confirm Product, Offer (price, currency, availability) and AggregateRating all parse without errors.
- Make sure the price in your schema matches the price a visitor sees, including sale prices.
- Resolve every warning in your Merchant Center diagnostics.
If you want to go deeper on the markup itself, see our guide to product schema for AI ecommerce teams.
3. Reviews the agent can read
According to Mastroke’s guide, recommendation engines use review volume as a proxy for quality, but reviews buried in a third-party widget do little without matching AggregateRating markup. Check whether your review app outputs schema on the product page itself, and whether the count and rating in the markup match what is displayed.
Verified reviews and transparent pricing are the high-trust signals that retail experts say determine success with AI agents. Perplexity also leans on outside sources, so your brand’s presence beyond your own store matters too. We cover that in brand authority for AI.
4. Titles and descriptions written for questions
Rewrite for the shopper’s actual query. Compare:
| Weak |
Stronger |
| Classic Backpack |
20L water-resistant backpack with 15-inch laptop sleeve, for daily commuting |
| Glow Serum |
Vitamin C serum for dull skin, fragrance-free, 1 fl oz, for sensitive skin |
| Trail Shoe X |
Waterproof trail running shoe, wide fit, 8 mm drop, men’s sizes 8 to 14 |
The stronger versions carry the attributes and the use case. Keep them readable. They are still for humans, and those humans will read the page after the AI sends them. More examples are in our guide to product listing optimization.
5. Accurate, synced availability and price
Perplexity’s agentic checkout can act as an intermediary. As Pulse Commerce noted, Buy with Pro may involve Perplexity placing orders on the shopper’s behalf, which can create friction such as unexpected shipping fees or price mismatches when merchant data is not synced in real time. If you sell across several stores or marketplaces, keep one source of truth upstream and push from it.