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Proof C Live confirmed

Perplexity

agentic commerce (product recommendation and in-chat checkout)

IndustryTech & SaaSLeverAcquisitionFamilyConversationImplementationMartech platformStageconsideration
Pattern proven in 5 industries still untouched in Banking, insurance & fintech, Luxury & beauty, Media & entertainment +7 See the pattern map
x5
Shopping-intent queries since the launch of Buy with Pro
"a 5x increase in Shopping Intent queries" S3

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

x5
Shopping-intent queries since the launch of Buy with Pro
"a 5x increase in Shopping Intent queries" S3
100% du revenu
Revenue kept by the merchant (free program)
"They receive 100% of the revenue from the purchases made on the platform" S3
checkout un clic
Shopping experience, free shipping
"one-click checkout to save time for Perplexity Pro users" S1

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 approach

The internal detail is not public. Here is a proven approach that leads to the same result, to adapt to your stack.

specifications produitcommande transmiseexpedition Utilisateur Perplexity Moteur de reponse +shopping Perplexity Flux produit marchand(API) Checkout in-app (Buy withPro) Systeme marchand /logistique

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
CadenceReal time on the user side; on the brand side, the product feed is synchronized continuously via the merchant API.
Operated byOn the brand side: the e-commerce / product-feed team that feeds and maintains the specifications. On the channel side: Perplexity operates the engine and the checkout.
  1. 1
    Enrollment in the merchant program marketing

    The brand shares its product specifications via Perplexity's single API, for free.

  2. 2
    Indexing and recommendation AI

    Perplexity indexes the products and offers them in answers with purchase intent.

  3. 3
    In-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.

  4. 4
    Fulfillment and shipping e-commerce team

    The brand handles the order and ships it through its existing logistics operation.

The signal that drives it

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 studies

Les 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.

64%
Consommateurs qui prefereraient que les entreprises n'utilisent pas d'IA dans leur service client (2024)
53%
Consommateurs qui envisageraient de passer a un concurrent s'ils apprenaient que l'entreprise prevoit d'utiliser l'IA pour le service client (2024)
pres de 75%
Consommateurs qui veulent savoir s'ils communiquent avec un agent IA (2024)

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

See full acceptance: by country, by use, by generation

How to replicate

Inference, not sourced

Data 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)
Team to operate1 e-commerce/feed lead; existing logistics handles the passed orders

The plan, step by step

  1. Step 1
    Check eligibility (selling and shipping to the United States) and audit the quality of the product feed: specifications, price, availability.Deliverable: Valid, complete product feed
  2. Step 2
    Enroll in the free merchant program and connect the catalog via Perplexity's product API.Deliverable: Catalog exposed in the shopping index
  3. Step 3
    Test targeted purchase queries on the category and note the presence of the products in the recommendations.Deliverable: Visibility record in the shopping answers
  4. Step 4
    Connect 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

  1. S1 Perplexity introduces a shopping feature for Pro users in the US Established press techcrunch.com · 2024-11-18 · accessed 2026-07-11 archive pending
  2. S2 Shop like a Pro Interested party perplexity.ai · 2024-11-18 · accessed 2026-07-11 archive pending
  3. S3 Perplexity adds an agentic commerce partner for its push into ecommerce Established press digitalcommerce360.com · 2025-04-01 · accessed 2026-07-11 archive pending