How to Prepare Your Online Store for Sales Through ChatGPT and Google AI

The way people search for products online is changing. Instead of browsing multiple websites and product pages, users increasingly describe what they are looking for directly to ChatGPT, Gemini, and other AI systems.

For online stores, this creates a new requirement. Product information needs to be clear not only to visitors and search engines, but also to AI systems that find, compare, and recommend products.

In 2026, specific technologies already support this process. OpenAI is developing the Agentic Commerce Protocol, or ACP, while Google is working with the Universal Commerce Protocol, or UCP. Both standards focus on accurate product data and the connection between product selection and purchase.

How AI Is Changing Product Search

In traditional search, users often enter a short query such as "men's hiking shoes."

In a conversation with AI, the query becomes more specific:

"I'm looking for lightweight waterproof hiking shoes for summer, suitable for long walks and priced under €150."

To provide a relevant result, the AI system needs to understand the intended use, features, price, and other conditions.

This is why a product page containing only a name, image, and price now provides too little information. Material, size, intended use, availability, variants, delivery details, and other attributes help systems understand when a product matches a specific search.

This is where SEO, GEO optimization, and product data quality begin to serve the same goal.

Selling Through ChatGPT and the Role of ACP

OpenAI uses the Agentic Commerce Protocol as infrastructure connecting merchants, product catalogs, and AI services.

Product discovery is an important part of this process. ChatGPT needs access to up-to-date product information in order to present relevant products when users search for them.

Selling through ChatGPT does not necessarily mean the entire purchase process takes place inside the conversation. Depending on the integration, a user selects a product through ChatGPT, after which the purchase continues through the ordering method supported by the merchant.

For this reason, having an ACP integration alone is not enough. A well-maintained product catalog remains the foundation.

Why the Product Feed Matters

A product feed is a structured collection of product information. It provides external systems with data about what you sell and under what conditions.

It usually includes:

• product name and description
• price and currency
• availability
• images
• brand and category
• size, color, and other variants
• product identifiers
• URL
• current offers

Accuracy matters more than the amount of information.

A product called "Model X100" with two images and a price provides little context. If the description explains the product type, intended use, features, and differences between variants, the AI system has far more information to present the product correctly.

Selling Through Google AI and UCP

Google is developing the Universal Commerce Protocol for commercial interactions through services such as Gemini and AI Mode in Google Search.

Selling through Google AI also starts with a structured product catalog. Google Merchant Center plays an especially important role, as it needs to contain up-to-date information about products, prices, availability, delivery, and returns.

Direct UCP integration also involves technical requirements, including API operations and a UCP profile through which the store describes its supported functions.

As of August 2026, integration with AI Mode and Gemini requires approval from Google. A Merchant Center account alone does not automatically activate selling through Google AI.

What to Check in Google Merchant Center

Differences between your store data and Merchant Center create a risk that the AI system will use outdated or inaccurate information.

Check whether:

• prices in the store and product feed match
• availability is updated regularly
• brands and product identifiers are completed
• categories are clearly defined
• images accurately represent the product
• delivery and return conditions are up to date

A well-organized Merchant Center now matters beyond Google Shopping and advertising campaigns.

Shopify and AI Sales

Shopify is developing Agentic Storefronts, which connect product catalogs with AI channels such as ChatGPT, Gemini, Google AI Mode, and Microsoft Copilot.

A large part of the technical infrastructure is managed by the platform. This makes the process easier for stores without an in-house development team.

The platform does not solve problems with product content. An unclear title, incomplete description, or incorrect availability remains a problem regardless of the integration.

Good preparation starts with the catalog itself.

How to Prepare a WooCommerce Store

With WooCommerce, the store owner has greater control over the technical infrastructure. As a result, preparation requires more attention.

Practical steps include keeping WordPress and WooCommerce up to date, synchronizing with Google Merchant Center, maintaining accurate product data, and providing clear delivery and return information.

Google for WooCommerce is one option for synchronizing products with Merchant Center.

For stores connected to an inventory management system, availability should update automatically. If an AI system presents a product as available while the product page shows otherwise, the customer receives conflicting information.

Structured Data Remains Important

Quick tip: test your store in AI as a real customer would

Open ChatGPT and Gemini and, instead of searching for your store name or a specific product, ask a question the way a real customer would.

For example:

"I'm looking for waterproof hiking shoes for long hikes under €150. Which models are suitable?"

Then check whether one of your products appears among the recommendations and whether the AI describes its price, features, brand, and intended use correctly.

If the product does not appear or the information is incomplete, repeat the test using several different queries. This is a quick way to see how AI systems understand your product catalog and where clearer product data, descriptions, or GEO optimization are needed.

Returns. Maintain good internal linking and make sure product pages are technically accessible.

After that come the specific ACP and UCP integrations, depending on the platform and market.

Prepare the Store, Not Only a Single AI Channel

ACP and UCP are important technologies in 2026, but building an online store around one specific AI service is not a sensible approach.

A more stable approach is to keep product data accurate, structured, and easy for different systems to process.

When the catalog is well organized, adding a new AI channel becomes easier. When product data is disorganized, every new integration creates additional technical work.

Selling through ChatGPT and selling through Google AI add a new channel to e-commerce, but the foundation stays the same: a well-maintained catalog, up-to-date data, solid technical implementation, and content that answers real customer questions.

At Studio Kipo, we work on online stores, SEO, and GEO optimization. If you would like to assess how prepared your store is for AI product search and what changes are needed, contact us.

Request a quote.