How to Prepare Your Site for AI-Driven Commerce – Forter

AI agents – the autonomous assistants built into ChatGPT, Claude, Gemini, and a growing list of specialist tools – are already browsing, researching, and attempting to complete purchases on behalf of real users. A shopper asks their assistant to find a waterproof trail running shoe in their size under a certain price, compare return policies, and place the order. The agent does all of it. The human approves the result. But when the site isn’t built for agents to read and act on, the agent fails, moves on, and your competitor gets the sale.

Most businesses are watching transaction volume and concluding that agentic commerce is still small. That’s true, but it’s the wrong metric for where we are right now. The disruption isn’t happening at checkout. It’s happening at the top of the funnel, in the search and discovery phase that determines which sites get considered at all. Agents are already forming opinions about your website, reading your catalog, assessing your credibility, and deciding whether you’re worth recommending before a single transaction takes place.

If your site isn’t legible to an AI agent at the discovery stage, you won’t be in contention at the transaction stage. Just as the shift to mobile browsing in the early 2010s rewarded businesses that adapted early and left laggards scrambling to catch up, the businesses that invest in agent-readiness now will be the ones agents recommend by default. The window is open, but it won’t stay open indefinitely.

What does “agent-ready” mean for your website?

Being discoverable and legible to a human visitor and being discoverable and legible to an AI agent are not the same thing.

Agents don’t browse the way people do. Like search engine crawlers, they often struggle with JavaScript, which means a site built on a client-side framework may return nothing useful when an agent visits. They look for structured data, machine-readable (usually markdown) files, and clearly documented capabilities. They assess trust signals that are invisible to human visitors but critical to how an AI system evaluates and recommends a site.

At Forter, we went through this process ourselves, running forter.com through several agentic readiness scoring tools to understand where we stood and what needed to change. That process taught us what agent-readiness actually requires in practice, as opposed to in theory. The good news is, the task isn’t as daunting as it seems at first. And we documented everything we learned along the way,

The five layers of agentic readiness

The work of becoming agent-ready falls into five sequential steps, each building on the last.

1. Discoverability: Can agents even find you? This is largely about static files and configuration — a differentiated crawler policy that welcomes agents that send you traffic while declining training crawlers, and a well-maintained llms.txt, which is a plain-language briefing document written specifically for AI systems rather than human readers. Much of this can be completed in a day.
2. Comprehension: Once an agent finds you, it should understand what you do, who you serve, and why it should recommend you. This is where structured data, competitive positioning, and the quality of your documentation start to matter. Agents are not persuaded by marketing copy. They’re looking for specific, citable facts — named authors, precise claims, clear capabilities and constraints. Vague capability prose gets filtered out.
3. Trust: Ensuring that agents and their underlying platforms can verify who you are and authenticate securely on a user’s behalf. Without this layer, agents can’t transact with you even if they want to. This is the most technically demanding area of the work.
4. Actionability: Giving agents a structured, well-documented surface to act on. This means a clean API specification, standardized error handling, and increasingly an MCP server — the emerging standard that allows AI systems like ChatGPT, Claude, and Gemini to call your business logic natively, without scraping or workarounds.
5. Experience: Making sure that an agent-driven interaction with your business actually completes the job, without dropping the user out of the conversation to open a browser or navigate somewhere else. This includes getting verified on the major AI platforms and ensuring your tools render appropriately within agent interfaces.

How to get started: the Agentic Readiness Guide

Forter’s Agentic Readiness Guide is a comprehensive technical guide covering 25 jobs required to make a website fully agent-ready, organized across the five steps above. Each guideline includes a plain-language explanation of the work, an effort and impact rating, concrete implementation steps, and where relevant, notes on how the Forter Agentic Orchestration Suite can accelerate delivery.

It was written for engineers, architects, and technical product leaders, and it doubles as a build checklist. But the module overviews are accessible to any digital commerce or technology leader who wants to understand what this transition actually involves and where to start.

The first tier of this work can be completed quickly and carries immediate impact. The full stack takes longer, but none of it is experimental. The standards are well-specified, the patterns are established, and the ecosystem is moving rapidly in this direction. Download the Agentic Readiness Guide.

If you’d prefer to start with a guided conversation about where your site sits today and which jobs will move the needle fastest for your business, our agentic commerce team is available to walk through that with you.