What is agentic commerce, and why should business owners care?

Key takeaways:

• Agentic commerce lets AI agents help customers search, compare, book, or buy, so clear website information and structure matter more than ever.
• Agentic shopping changes online shopping by letting AI tools filter product options, compare details, and handle tasks that human shoppers once managed manually.
• As agentic AI becomes more common, businesses with easy-to-read product, service, booking, and checkout information can gain an early advantage.

Online shopping is changing fast. Generative AI tools can already help people search, compare, book, and buy with less manual browsing. Instead of opening several tabs, reading every product page, or calling around for availability, a customer may soon ask an AI agent to find the best option and take the next step on their behalf.

This shift is called agentic commerce: a new model of agentic shopping where AI tools help customers move from research to action. For business owners, this matters because websites now need to work for people and AI. If your pricing, product details, booking options, or service information are unclear, e-commerce agents and agentic commerce tools may struggle to read and recommend your business to your potential customers.

In this article, we’ll explain what agentic e-commerce is, how AI agents interact with websites, and why this change matters. For practical preparation steps, read our guide on making your website agent-ready.

What is agentic commerce?

Agentic commerce refers to a way of buying and selling in which an AI agent acts as an intermediary between a customer and a business. In simple terms, agentic commerce allows AI to act more like an assistant that can carry out tasks on a customer’s behalf.

As Network Solutions Software Engineering Manager Satyam Mishra explains, “Agentic commerce is when an AI does the buying on a customer’s behalf, not just answering questions, but actually making decisions and completing a purchase without the person clicking through every step. Think of it like sending a capable assistant to shop for you. The AI plans, decides, and executes. It doesn’t just assist.”

Instead of having the customer handle every step, the agent can search, compare, recommend, book, and complete purchases (when allowed) on the customer’s behalf.

In this context, the agent uses large language models (LLMs) and can pursue a goal without constant human input. It doesn’t just answer a question like a basic chatbot; it can also understand natural language. It can plan next steps, use available information, and take action within the customer’s defined limits.

This is what separates an AI agent from a traditional chatbot. As Mishra puts it, “A chatbot waits for you to ask something and responds. An agent goes out and does something for you. Chatbots assist. Agents act.”

Chris Day, Network Solutions VP of Customer Fulfillment, further explains, “Agentic commerce is the next evolution of digital commerce. For years, businesses optimized for search engines. Now they’re beginning to optimize for AI that can help customers discover, compare, and eventually purchase products on their behalf. The important thing is that this isn’t about replacing people—it’s about reducing customer effort. Agentic commerce is becoming another way customers discover businesses, not a replacement for the customer.”

In traditional e-commerce, shoppers visit websites, browse products, compare prices, read policies, check availability, and complete checkout themselves. With agentic commerce, shoppers start with an AI prompt, such as “Find me the best boutique for handmade jewelry near me,” and the AI agent reviews multiple websites before giving a recommendation.

The same idea can apply to service businesses. A customer might ask ChatGPT to compare local plumbers or use Google’s shopping tools to evaluate product features. An AI booking assistant might help someone find a salon with open evening appointments, clear pricing, and strong reviews.

There are more examples in our guide on leveraging AI for business growth of how emerging technology can support business development.

Examples of agentic commerce for small businesses

Agentic commerce isn’t limited to large retailers or digital marketplaces. It can also shape how customers find and choose local businesses, service providers, and small online stores.

Some examples of what an AI agent can do:

• Hair salon booking site: Helps a customer find open evening appointments, compare service pricing, check reviews, and choose a booking option
• Plumber service request form: Looks for emergency availability, service-area details, contact options, and a clear way to request service
• Boutique product page: Shopping agent compares product details, return policies, shipping timelines, and price before recommending an item
• Restaurant reservation page: Compares menu details, location, available times, and reservation options before suggesting where to book

In some online shopping cases, e-commerce AI agents may help with product discovery and—when approved by the customer—complete transactions.

The better the customer experience is on the website, the easier it is for agentic shopping tools to understand the business and what it offers. In Day’s words, “Agent-ready businesses make it easier for AI assistants to understand, compare, and recommend their products when customers ask for advice.”

How do AI agents interact with websites?

AI agents interact with websites by turning a customer’s request into a set of actions. Here’s a typical scenario in online shopping:

1. The customer asks an AI agent to find a product, compare options, check reviews, or book a service.
2. The AI agent then searches websites, reads available information, and looks for the clearest path to the next step. Ideally, your website is included in this search.
3. It “reads” your pages for product discovery, compares your offer with other businesses or digital marketplaces, and helps the customer decide where to buy or book.
4. When “permissioned” by the customer to transact, the AI agent will also rely on secure payment networks and verification systems to help ensure safe transactions.

When your website provides clear information and an easy customer experience, agentic shopping tools are more likely to understand your business and help customers complete transactions.

Put simply, AI agents turn a user’s request into actions. They scan websites, extract relevant information, compare options, and identify the next step—whether that’s recommending a product or helping complete a booking.

They rely heavily on clear, structured content, such as:

• Product details and pricing
• Availability and service areas
• Policies, reviews, and checkout paths

When information is easy to find and structured consistently, agents are more likely to recommend your business.

You can read more about the best AI-powered website builders to learn more about how AI is helping businesses grow.

What AI agents do for consumers

For consumers, an AI agent can handle parts of online shopping that once required multiple searches, tabs, and decisions based on preferences, past inputs, and shopping behavioral data. A customer can ask for a product, service, or booking, and the agent can browse multiple websites, compare options, read reviews, check availability, and narrow the list.

While fully autonomous shopping is still evolving, AI-powered commerce tools are already becoming mainstream. As Mishra notes, “Google’s AI Mode is already letting agents surface and compare products within the search experience, and with Google’s Universal Commerce Protocol, merchants can enable purchases without the customer ever leaving the AI interface. Perplexity and ChatGPT have similar integrations for product discovery and booking. These aren’t future concepts. They’re live and expanding now.”

In retail, AI agents can help customers manage repeat purchases, compare prices across multiple stores, become their personal shoppers, and place orders based on their preferences. Day doubles down on this, saying, “Many more are comfortable letting AI research products, compare options, and narrow the field.”

For example:

• A shopper may ask an AI shopping agent to compare prices for a pair of running shoes across stores.
• Someone planning a haircut may ask ChatGPT to find the best-rated salon with open appointments after 6 p.m.
• A customer shopping for a new coffee maker may use Google shopping assistants to compare product features, delivery times, and return policies before choosing where to buy.

For example, a customer might tell their AI assistant to “reorder my usual coffee beans.” Mishra expounds, “The agent visits the store, finds the product, checks availability, applies a saved discount, and completes checkout without the customer opening a browser. For that process to work smoothly, the website needs to be structured in a way that the agent can read, understand, and interact with.”

Voice assistants and other shopping assistants can also help with product discovery, reminders, and repeat purchases. In some cases, these tools can even complete purchases on the user’s behalf after the customer reviews and approves the action.

How AI agents navigate and evaluate websites

AI agents interpret websites by analyzing content and structured information that they can identify, organize, and use.

Mishra adds, “An agent looks for machine-readable signals—structured product data, clear navigation, pricing, availability, and accessible form elements it can interact with. It reads your site the way a screen reader would, not the way a human eye scans a layout visually.”

To make sense of content, AI agents need more explicit information, such as:

• Structured data
• Clear labels
• Consistent product data

For e-commerce sites, structured product data can help agents understand item names, prices, sizes, colors, reviews, shipping details, and stock status. For service businesses, data quality matters across hours, locations, service areas, appointment options, and contact details.

That’s because, according to Rick Radinger, Network Solutions Principal Systems Architect, “Most site search is keyword-dependent and cannot interpret the natural-language queries agents generate.”

That’s also why websites need to be machine-readable, not just human-readable. When key information is easy to find and understand, agents have a clearer path to evaluate the business.

Why does my website need to be AI agent-ready?

Agentic commerce creates a new path between customers and businesses. When people use AI tools for product discovery, service comparisons, booking help, or online shopping, your website may need to give clear answers before a person ever visits it directly.

Part of the challenge is that many businesses still underestimate what agents can do. Mishra expounds, saying that “Most people think AI agents are just smarter chatbots—still answering questions, only faster. The reality is that agents can take multi-step actions across websites and systems without a human involved in every decision. That misconception leads businesses to underestimate how quickly their websites need to be ready for agent traffic.”

For small business owners, being agent-ready means making it easier for AI systems to understand what you offer, who you serve, how customers can take action, and what makes your business a good match. Clear information can help enable agents to compare options, support a better customer experience, and help customers complete transactions with less friction.

As agentic capabilities grow, businesses that prepare early can be easier for agents and customers to find, evaluate, and choose.

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The competitive advantage of being agent-ready

One of the biggest benefits of agentic commerce is visibility. If AI agents can find, read, and understand your website, you have a better chance of appearing when customers use AI-powered tools for product discovery, service research, or booking appointments.

Businesses can gain an edge when their websites and systems work well with AI agent protocols, giving agents clearer product data, pricing, and availability to evaluate.

Clear, structured websites allow agents to:

• Compare your offerings
• Answer customer questions
• Support faster decisions

Early adopters can gain a competitive edge as these tools become more common.

Day adds: “Adobe Analytics recently found that shoppers referred by AI assistants generate 53% more revenue per visit than those arriving through traditional channels, suggesting AI is already connecting businesses with customers who are further along in their buying journey.”

“Large brands will always benefit from name recognition. Small businesses have a different advantage: agility. They can update products, pricing, and content quickly, allowing them to adapt faster as customer expectations and AI capabilities continue to evolve.”

What are you missing when your competitors are agent-ready and you’re not?

Day explains, “The biggest risk isn’t losing traffic. It’s being overlooked before a customer ever reaches your website. AI is becoming another way customers discover and compare businesses. If your products, pricing, availability, or policies aren’t easy for AI to understand, your business may never be presented as an option. Customers can’t choose a business they never have the opportunity to consider.”

What happens if your site isn’t ready for agent interactions

When an AI agent can’t read or use your website properly, it may skip your site, fail during the checkout flow, or recommend a clearer option (from your competitors) instead. For example, an agent searching for “best salon near me” may move on past your site if it can’t find your pricing or real-time availability.

Joe Mueller, Network Solutions Search Engine and AI Optimization Manager, further explains, “If an AI agent can’t use your site properly, there can be severe consequences across both branded and non-branded chats. On the branded side, it can hallucinate about your product offerings and pricing. On the non-brand side, it might leave you off the list it presents to a user entirely because it doesn’t have enough information about your product or service.”

Performance and server issues can also affect this. Mueller adds, “When a page takes too long to load for an AI agent, they will often close their connection to your server (which gets logged at a 499 HTTP status code. If certain elements on your site (like price) are dynamic and load sometime after the initial page load, then an AI agent might index your page before those elements have a chance to render, leaving them without the information they need to fully understand your products.”

The same problem can happen in traditional e-commerce. If product details are missing, payment systems are unclear, or the agent completes research but can’t help the customer complete purchases, the sale may stop mid-process. Understanding what agents need is the first step. For next steps, read our guide to agentic commerce readiness.

Where do AI agents most often get stuck or fail to complete key actions?

Let’s dive into the specific aspects of finding products, adding items to carts, and checking out. And what could be the underlying technical issues of such breakdowns?

Radinger weighs in, as follows:

“AI agents interacting with small business e-commerce sites most commonly fail at three stages:

• Product discovery: Most site search is keyword-dependent and cannot interpret the natural-language queries agents generate. Incomplete product attributes, missing schema markup, and JavaScript-rendered catalogs compound the problem—agents either retrieve no results or operate on incomplete data.
• Cart and session integrity: Agents typically do not maintain browser-equivalent session state. Cart contents are frequently lost between steps due to expired sessions, unacquired CSRF tokens, or form submission patterns that assume a persistent browser context.
• Checkout completion: Multi-step forms with client-side validation, ambiguous guest checkout paths, and modal interruptions (overlays, chat widgets, age gates) create navigation failures that agents cannot self-resolve. Hard payment entry requirements—where no wallet or API-based option exists—represent a complete stopping point for most current agents.

“The systemic root cause across all three stages is that these sites were engineered for human browsers executing linear, predictable flows. Agent traffic is non-linear, often stateless between steps, and generates behavioral signals that bot detection and fraud systems (Cloudflare Bot Management, reCAPTCHA, behavioral fingerprinting) are calibrated to challenge or silently block.)”

What changes should small business owners expect in the next 12–24 months as AI agents become more common in online shopping and booking?

Radinger elaborates as follows:

• Structured data becomes a discovery prerequisite: AI shopping assistants and agentic platforms will surface products based on machine-readable data quality, such as schema.org markup, complete attribute sets, and accurate inventory signals. Businesses without this infrastructure will be absent from agent-driven traffic channels, much as unoptimized sites lost organic search visibility in prior platform shifts.
• Agent-compatible checkout will become a platform feature: Headless, API-first commerce infrastructure is already maturing at the platform level (Stripe, major payment providers). Expect verified, tokenized agent checkout flows to emerge within 18 months. Early adopters will capture agent-referred conversions; businesses unprepared for this will experience unexplained cart abandonment they cannot diagnose.
• Bot policy will require deliberate segmentation: The current default — treating all non-human traffic as adversarial — will become operationally untenable. Vendors, including Cloudflare, are moving toward trust-tier frameworks that distinguish verified purchasing agents from scrapers and price aggregators. Business owners will need an explicit policy position, not just a default block rule.
• Conversational commerce will shift where discovery begins: As consumers delegate shopping tasks to AI assistants, product discovery increasingly originates outside the business’s own site. Businesses with API-accessible catalogs or presence in AI-indexed commerce layers will have a channel that others won’t. Those relying solely on direct human-initiated traffic will face structural exposure as behavior shifts.
• The platform dependency gap will widen before it closes: Enterprise retailers have the engineering capacity to adapt proactively. Small business owners on WooCommerce, Squarespace, or similar platforms are dependent on their vendors’ roadmaps. Platform selection, plugin hygiene, and data structure investments made now will determine competitive positioning when agent commerce normalizes.

Can businesses lose sales without realizing it’s due to their “under-preparedness” for AI agents?

Day affirms, “Absolutely. Businesses have spent years optimizing for search engines. Now they’re beginning to optimize for AI-assisted discovery.”

Gartner recently found consumers are far more comfortable using AI to research products and narrow their options than to make purchasing decisions on their behalf, reinforcing that AI is already influencing buying decisions before customers ever reach checkout. The challenge is that those missed opportunities are difficult to measure. They don’t appear as website errors—they appear as customers who never found you in the first place.

The future of agentic commerce

The outlook for agentic commerce is still taking shape, but the direction is clear. AI agents are beginning to influence how people discover, compare, book, and buy online. As it becomes part of more AI platforms, customers may use it to filter options before they ever land on a business website.

Some agentic behaviors are already part of product discovery, while more autonomous transactions are still developing. Mishra gives an example, saying that “Google’s Universal Commerce Protocol is a live example—it lets merchants enable direct purchases through Google AI Mode and Gemini so customers can transact without visiting the merchant’s site. What’s still emerging is fully autonomous multi-step checkout, loyalty account integration, and cross-platform agent-to-agent handoffs.”

That doesn’t mean human shoppers disappear. People still set preferences, review recommendations, approve purchases, and make final decisions in many situations. The fundamental shift is that agentic commerce tools can handle more of the research, comparison, and task completion that customers used to do themselves.

For small business owners, this creates a practical reason to pay attention now. Agentic commerce is changing online shopping, but it can also affect service requests, appointments, reservations, and local business discovery. Clear product data, service details, booking paths, reviews, policies, and trust signals can help both people and AI systems understand what your business offers.

Day cautions against overstating the speed of the shift: “We should avoid treating agentic commerce as an overnight disruption.”

The next step is learning what “agent-ready” means so your website is easier to find, evaluate, and act on as this buying behavior grows.

Frequently asked questions

Get your website ready for agentic commerce

Agentic commerce is a fundamental shift in how customers may discover, compare, book, and buy online. You now know what agentic commerce is, how AI agents interact with websites, and why this matters for business owners who rely on online shopping, bookings, service requests, or reservations.

The future outlook is clear: Agentic commerce tools are becoming part of how people research options and take action. Human shoppers still make choices, but AI agents may handle more of the steps between interest and purchase.

Understanding how agentic commerce works gives your business a head start. The next move is to learn how to make your website ready for AI agents.

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