Perplexity
agentic commerce (product recommendation and in-chat checkout)
In November 2024, Perplexity launched Buy with Pro, a one-click checkout in the assistant backed by Shopify, with a free merchant program where brands keep 100 percent of the revenue; Perplexity reports a 5x increase in shopping-intent queries since launch.
Objective
Open a channel where the user moves from product search to purchase without leaving the assistant, and give brands a way to be recommended and sold directly in the answers.
The deployment
In November 2024, Perplexity launched Buy with Pro, a one-click checkout reserved at first for its Pro subscribers in the United States. The user receives product recommendations in the answers and can order without going to the merchant's site: address and card stored in Perplexity, tax calculation, free shipping on Buy with Pro orders. The discovery experience relies on a Shopify integration to access the products of merchants that sell and ship to the United States. In parallel, Perplexity opened a free merchant program: brands share their product specifications via a single API, keep 100 percent of the sales revenue, and gain visibility in the recommendations. Perplexity reported a 5x increase in shopping-intent queries since launch.
Results Proof C
Launch covered by name by the established press (TechCrunch), cross-checked by Perplexity's official blog and the e-commerce trade press. The 5x figure is a platform statement, hence a C level rather than B.
How it works
Inferred typical approachThe internal detail is not public. Here is a proven approach that leads to the same result, to adapt to your stack.
The stack in detail
- plateforme Perplexity (moteur de reponse + shopping) LLM answer engine that indexes products and recommends them in answers with purchase intent, with the in-app Buy with Pro checkout. Underlying models not detailed for shopping.
- outil Programme marchand Perplexity (API produit) Free program: the brand shares its product specifications via a single API, keeps 100 percent of the revenue, and gains visibility in the recommendations.
- plateforme Shopify Integration used for the discovery of products from Shopify merchants that sell and ship to the United States.
How it runs, concretely
For ops teams-
1Enrollment in the merchant program marketing
The brand shares its product specifications via Perplexity's single API, for free.
-
2Indexing and recommendation AI
Perplexity indexes the products and offers them in answers with purchase intent.
-
3In-app checkout customer
The user orders in one click inside Perplexity; the order is passed to the merchant, who keeps 100 percent of the revenue.
-
4Fulfillment and shipping e-commerce team
The brand handles the order and ships it through its existing logistics operation.
The quality and freshness of the product feed (specifications, price, availability). If the feed is poor or stale, the brand is recommended less often and the checkout fails.
How your customers perceive this type of use
Sourced studiesLes consommateurs n'acceptent pas les chatbots par defaut : 64% prefereraient que les entreprises n'utilisent pas d'IA dans leur service client (Gartner, 2024) et pres d'un utilisateur sur cinq du service client par IA n'en retire aucun benefice (Qualtrics, 2025). L'acceptation se construit sur trois conditions mesurees par Salesforce : savoir qu'on parle a une IA, pouvoir escalader vers un humain, comprendre la logique de l'agent.
Acceptance conditions
- Etre informe qu'on parle a une IA et non a un humain (pres de 75% le demandent, Salesforce 2024)
- Un chemin d'escalade clair vers un agent humain (45% plus enclins a utiliser l'agent IA, Salesforce 2024)
- Une logique de l'agent clairement expliquee (44% plus enclins, Salesforce 2024)
Red lines
- Rendre l'humain injoignable : c'est la premiere inquietude des consommateurs sur l'IA dans le service client (Gartner 2024) et 50% craignent que l'IA les coupe du contact humain (Qualtrics 2025)
- Remplacer le service client par l'IA sans alternative : 53% envisageraient de partir chez un concurrent (Gartner 2024)
Sources: Salesforce 2024 · Gartner 2024 · Qualtrics 2025
How to replicate
Inference, not sourcedData prerequisites
- clean product feed (specs, price, stock)
- US shipping capability
- connectable order system
Org prerequisites
- e-commerce/feed team that maintains the catalog
- decision on the margin shared via this channel
Possible stack
- Perplexity merchant program
- Shopify
- feed manager (Productsup, Feedonomics)
The plan, step by step
- Step 1Check eligibility (selling and shipping to the United States) and audit the quality of the product feed: specifications, price, availability.Deliverable: Valid, complete product feed
- Step 2Enroll in the free merchant program and connect the catalog via Perplexity's product API.Deliverable: Catalog exposed in the shopping index
- Step 3Test targeted purchase queries on the category and note the presence of the products in the recommendations.Deliverable: Visibility record in the shopping answers
- Step 4Connect measurement of orders coming from the channel and decide on the level of investment (feed enrichment, catalog coverage).Deliverable: Orders and average-basket read by channel
First step: Check eligibility (US shipping) and the quality of the product feed, then enroll in the free merchant program to test visibility.
Sources
- S1 Perplexity introduces a shopping feature for Pro users in the US Established press archive pending
- S2 Shop like a Pro Interested party archive pending
- S3 Perplexity adds an agentic commerce partner for its push into ecommerce Established press archive pending
An error, newer info, a source?
This page lives on its accuracy. If a figure has moved, if the deployment has changed, or if you have a higher-quality source, tell us. Every sourced correction is verified before publication.