XYZs Square Launches ChatGPT App and Claude Plugin

Square, a subsidiary of Block, has launched a ChatGPT app and a Claude plugin to enable merchants to be discovered via AI search engines and process customer orders directly through AI assistants. The integration, reported by Yahoo Finance on July 2, 2026, connects the Square Dashboard to these AI platforms to capture conversational commerce traffic.

The move allows sellers to index their business data and product catalogs within the ecosystems of OpenAI and Anthropic. When users ask these AI assistants for product recommendations or local service providers, the AI can now pull real-time information from Square sellers to provide accurate suggestions and facilitate immediate transactions.

How do the ChatGPT app and Claude plugin work for sellers?

The new tools function as bridges between a merchant’s Square Dashboard and the Large Language Models (LLMs) used by consumers. According to Yahoo Finance, these integrations allow AI assistants to access a seller’s current inventory, pricing, and business hours.

Unlike traditional search engine optimization, which relies on keywords and backlinks, this system uses AI-driven discovery. A user can ask a prompt such as "Find me a bakery nearby that has gluten-free sourdough in stock right now," and the AI uses the Square plugin to verify real-time availability before recommending the business.

The integration extends beyond discovery into transaction processing. The tools allow AI assistants to accept orders on behalf of the seller, streamlining the path from a conversational query to a completed sale.

Why is AI-driven discovery different from traditional search?

Traditional e-commerce discovery typically involves a user searching a directory or a search engine and clicking through multiple pages to find a product. This process creates friction that can lead to cart abandonment.

AI discovery shifts this to an intent-based model. The AI assistant acts as a concierge, filtering through Square’s merchant database to find the exact match for a user’s specific needs. This reduces the number of steps a customer takes to find a product and place an order.

For Square sellers, this means their visibility is no longer dependent solely on their website’s rank in Google search results. Instead, they are positioned within the conversational flow of the AI tools that consumers are increasingly using as their primary interface for the internet.

What is the impact on the Square Dashboard and merchant operations?

The Square Dashboard serves as the central control point for these AI integrations. Merchants can manage which parts of their catalog are visible to AI assistants and monitor how many leads or orders are generated through ChatGPT and Claude.

This creates a closed-loop system where inventory changes in the Square Dashboard are reflected almost instantly in the AI’s responses. If a seller marks an item as out-of-stock in their dashboard, the Claude plugin will stop recommending that item to users in real-time.

This automation reduces the manual effort required by small business owners to maintain multiple sales channels. The AI handles the customer service aspect of discovery and order intake, while the Square backend handles the payment and inventory logistics.

How does this affect Block’s financial strategy?

Zacks Investment Research has highlighted the potential for these AI initiatives to influence Block’s gross profit. By increasing the volume of transactions through new discovery channels, Block can drive higher payment processing fees.

The strategy represents a shift toward “embedded commerce,” where the point of sale is integrated directly into the tools users already use for information gathering. This move puts Block in direct competition with other e-commerce platforms that are attempting to integrate LLMs into their storefronts.

By leveraging both ChatGPT and Claude, Block is diversifying its AI dependencies. Rather than relying on a single model, the company is ensuring its sellers are discoverable across the most popular AI ecosystems, mitigating the risk of any single platform’s policy changes or outages.

The expansion of this commerce strategy suggests that Block views AI assistants not just as productivity tools for merchants, but as the next generation of the digital storefront.