How to Adapt Your Store Architecture to Agentic Commerce?

• The end goal of this system is full autonomy, which lets AI agents complete purchase transactions on their own.
• Stores need to adapt their websites for bots by taking care of indexing, readable structured data, and a well designed API.
• The most common mistakes that push AI away are missing pagination, inconsistent product information, and aggressive security measures that block legitimate bot traffic.

Until recently the customer was always a human. Now the customer is also AI. The job of an AI agent is to take over the repetitive tasks that would otherwise cost the user several hours.

The target development model for agentic commerce is complete transactional autonomy. An AI agent will do more than analyze and compare the offers worth recommending to the user, as it does today. It will also gain the permissions it needs to make the purchase and finalize the order.

Until now, websites and their content were carefully prepared for human users, for example through SEO or UX strategies. Those efforts do not necessarily match what artificial intelligence needs, because when AI picks a product to recommend, it follows completely different criteria than a person does.

1. Discovery: make sure your site allows bots, because any blocking makes it impossible for AI agents to find your store.

• Indexing
• Robots.txt
• Sitemap

2. Data: create content that is understandable and consistent for AI agents.

• Description, variants
• Price
• Stock
• Shipping
• Returns

3. API: give the agent a way to perform operations. In the near future, the API will matter just as much as the front end itself.

• Search
• Cart
• Order

4. Checkout:verify that the purchase can be completed automatically by an agent. This requires cooperation with payment processing companies.

• Guest checkout
• Tokenized payments
• Full price before purchase
• 3DS support
• Webhooks secured with a cryptographic signature
• Idempotency

If you want to be sure that your assortment is fully understandable to AI, see how to prepare product pages for GEO and improve their readiness for the sales season.

An agent should be able to:

• Visit the product page: The ability to display the page is the baseline that every AI agent needs, because without it your company will be skipped by artificial intelligence.
• Download HTML and images: HTML should be concise and easy to understand from the semantics alone, without any need to render the page visually. Images have to be optimized, ideally in next generation formats.
• Read structured data: Schema should reflect the most important product information from the page, meaning price, available variants, sizes, URL, photos and so on. Thanks to this, AI will understand your company precisely and will have the data it needs to recommend it to users.

Keep in mind that even the best AI model will not buy a product it cannot find or understand.

A CAPTCHA or a WAF that blocks legitimate bots is not the only problem an AI agent may run into when it tries to visit your company website.

• Infinite scroll without pagination. AI does not scroll the page the way a regular user does. If only 10 out of 100 product options load initially, the agent will not see all the available variants.
• Different URLs for the same product. In situations like this the bot gets lost and may skip your store offer, treating it as untrustworthy, for example.
• Products available only after JS. Rendering JS can be expensive.

Avoiding these mistakes gives your site a better chance of being noticed and recommended by AI agents.

The visual side matters to the person looking at your site, but for AI the key element is the data it will analyze.

An AI agent trusts consistent data, so make sure the prices in your feed and on the site match. A missing GTIN, incorrect variants, or a photo that does not match them will all affect how artificial intelligence perceives your store. The agent also wants to collect every important piece of information about a given product, so do not forget about return details, along with the cost and method of delivery.

AI agents use many sources at the same time, which is why preparing your site properly across several levels is so important. The file you send to Google, the code behind the page, and what the customer sees all have to be consistent, so that AI does not suspect the company of attempted fraud, which could mean being excluded from recommendations entirely.

Is your site already adapted for AI agents? Take a look at our practical guide on how to prepare content that supports agentic commerce.

If you want to convince AI agents to recommend your site to users, take care of a well designed API, high quality data, and a product feed that stays consistent across the whole ecosystem.

Your site does not show up in AI agent recommendations? At Delante we know how to fix that. Take a look at our case studies to see how we have helped our clients, and get in touch so that we can do the same for your business.