AI agents are AI systems that can take actions to complete a goal, not just answer a question. An agent can plan steps, use tools like a web browser or apps, and work through a task, such as researching vendors, filling out a form or comparing prices, with limited human input.
For businesses, agents add a new kind of visitor. Instead of a person browsing your site, an AI may read your pages, compare you with competitors and even start a booking or purchase on someone's behalf. Whether it can do that well depends a lot on how your site is built.
What are AI agents?
Most people first met AI as a chatbot: you ask, it answers. An agent goes further by deciding what to do next and doing it. Anthropic, in its widely read guide on building effective agents, distinguishes workflows, where AI and tools follow predefined code paths, from agents, where the AI directs its own process and tool use.
An agent usually combines a large language model for reasoning with tools it can call. Those tools might include web search, a browser it can click through, connected apps like calendars or spreadsheets, or payment systems.
As of October 2026, consumer agents are real but still maturing. In July 2026, OpenAI launched ChatGPT Work, an agent that can break projects into steps, use apps and files, and browse the web. Its cloud browser can read pages, click buttons and fill in forms on websites, and asks the user to confirm before payments, bookings or other hard-to-reverse actions. OpenAI's help center now says its earlier ChatGPT agent is no longer available and points users to ChatGPT Work instead.
Why AI agents matter for search and marketing
Agents often start with search. When an agent researches "the best accounting software for a five-person firm," it runs searches, reads pages and narrows options, much like the query fan-out process in AI search. If your site is hard to read or missing key facts, the agent may simply move on.
Agents are also moving toward transactions. In September 2025, Stripe and OpenAI introduced Instant Checkout in ChatGPT and the Agentic Commerce Protocol, an open standard for how AI agents and merchants exchange product, checkout and order information. In March 2026, OpenAI said that first version lacked the flexibility it wanted and shifted its focus to product discovery, with purchases increasingly finishing in merchants' own checkouts or retailer apps inside ChatGPT, while ACP continues as a foundation. Google's AI Mode, meanwhile, has added agent-style help with tasks like finding restaurant reservations, with the booking completed on partner platforms.
The practical takeaway: being found by AI is no longer only about being cited. It's also about being usable by software acting for a customer.
How AI agents work
Understanding the goal
The user describes what they want, often in plain language. The agent interprets the request and may ask clarifying questions, such as budget or dates.
Planning and tool use
The agent breaks the task into steps and picks tools for each one: searching, opening pages, reading documents or calling an app. Standards like the Model Context Protocol (MCP), an open standard for connecting AI applications to external systems, make it easier for agents to work with outside data and tools.
Acting on websites
When there's no direct integration, browser-based agents read pages and interact with them the way a person would, clicking, scrolling and typing. Clear labels, simple forms and content that loads reliably make this much easier.
Checking in with the user
Responsible agents pause for sign-ins, confirmations and consequential steps. OpenAI's cloud browser, for example, asks for confirmation before actions that create a financial, legal or account commitment.
AI agents in practice
Imagine an office manager asks an AI agent to find three local IT support companies that offer flat-rate monthly plans and can start next week, then request quotes. The agent searches, opens several provider websites, and checks pricing pages and service areas.
One provider lists plans, pricing ranges and service areas clearly in text, with a short quote form. Another hides pricing in a PDF, requires a phone call for any details and uses a contact form that breaks without JavaScript. The first is far easier for the agent to evaluate and contact. This example is hypothetical, but it shows why agent-friendly sites have an edge.
How to prepare your site for AI agents
- Put key facts in plain text. Pricing, service areas, hours, specs and policies should be readable on the page, not locked in images or PDFs.
- Make pages crawlable and fast to load. Let reputable AI crawlers and user-triggered fetchers reach your important pages, and serve core content in the initial HTML.
- Simplify forms and flows. Use clear labels, standard fields and predictable steps. Avoid unnecessary pop-ups that block content.
- Add structured data. Schema markup for products, organizations, local businesses and FAQs helps machines interpret your pages, as long as it matches what's visible.
- Explore agent commerce options. If you sell online, check whether your ecommerce platform supports protocols like ACP or similar programs. Availability varies by platform and region.
- Watch your logs. Look for AI user agents in server logs to understand which agents visit and whether they hit errors.
Common misconceptions about AI agents
- "Agents will replace websites." Agents still rely on websites, feeds and APIs for information. Your site becomes a data source as well as a destination.
- "Agents act completely on their own." Today's mainstream agents typically ask users to confirm sign-ins, payments and other significant actions.
- "Every chatbot is an agent." A chatbot that only answers questions isn't an agent. The difference is the ability to plan and take actions with tools.
How Butter approaches AI agents
We don't build AI agents, and there's no separate "agent optimization" product at Butter. Agent readiness overlaps heavily with the work we already do. Our GEO plan covers AI prompt testing, indexing strategy and schema markup guidance, which help AI systems find and read your key facts. On the GEO+SEO plan, technical SEO fixes for broken links and crawl issues make pages easier for any automated visitor to use. When we review a site, we flag pricing, service details or forms that an agent would struggle with, and include those in our on-page recommendations.
Frequently asked questions
What is the difference between an AI agent and a chatbot?
A chatbot answers questions in conversation. An AI agent can plan and take actions to complete a task, such as browsing websites, using apps or filling out forms, usually with user confirmation for important steps.
Can AI agents buy things from my website?
In some cases, yes. Browser agents can fill in forms on supported sites, and ChatGPT can send shoppers to participating merchants' checkouts or retailer apps built on the Agentic Commerce Protocol. Payments and bookings typically still require the user's confirmation.
Should I block AI agents from my site?
For most businesses that want customers, blocking agents means blocking potential buyers who use them. Instead, protect sensitive areas with logins and make public pages easy for agents to read.