---
title: "Introducing Agent Mode: websites built for people and their agents | Coframe Blog"
description: "Every page you create with Coframe now gets an agent-friendly version from day one, giving visiting AI agents a direct way to read your content, ask questions and find the next step."
url: https://www.coframe.com/post/introducing-agent-mode
format: agent version of this page (the same facts as the page, as text)
updated: 2026-10-30
---

Your customers are starting to send their AI agents to your website. Those agents arrive with a job to do: research a product, compare options or find the right service for their user.

But most websites were built for humans. Agents struggle to navigate them, miss relevant information and leave questions unanswered. For brands, that can mean losing a potential customer before they ever visit the site themselves.

Today, we’re introducing **Agent Mode**. Every page you create with Coframe gets an agent-friendly version from day one, giving visiting agents a direct way to read your content, ask questions and find the next step.

## Your website is making agents work too hard

Businesses spend considerable time improving their websites for people. Navigation, layouts, photography and copy all help visitors understand an offering and decide whether it fits their needs.

An agent arrives with a different set of requirements. It needs the information relevant to its user’s request, quickly and accurately.

On a typical website, a browser agent may have to take screenshots, dismiss cookie banners, open menus and search across multiple pages. Agents that fetch only the initial HTML can miss information loaded by JavaScript.

Even when the content is accessible, a static page may not answer the specific question an agent needs to resolve. There is no one to ask, so it has to infer an answer or keep searching.

![Human version: six steps of clicking and still looking. Agent version: the agent simply asks the site](https://media.cofra.me/m/c6524b36805ee50e1f00b193420b7a7b4cb2825bd95262e3e6178dbfaaafc247.png)

That creates a commercial problem. Your product could be the right fit, but if the agent cannot establish that, it may recommend a competitor whose offering is easier to understand.

## Give agents a website they can talk to

Agent Mode turns your page into a source of answers.

![Visitor agents like Muse, Claude Duet, ChatGPT and Instinct connect to yoursite.com/.agent, powered by your business context and product knowledge](https://media.cofra.me/m/9d46cfd83a4a819ed34b81662c48151411bc5d3f88c70397daa9eb6275f942b6.png)

A visiting agent can ask about your products, explain what its user is looking for and receive a response grounded in your business context. Your website can clarify details and point it toward the relevant next step.

Consider a customer asking their personal agent to find shoes for an upcoming triathlon. A product page can provide specifications, but the right choice also depends on the customer’s size, the terrain and when they need the shoes.

A website that can answer back helps the agent resolve those questions. It can explain the differences between options and request the context needed to make a useful recommendation.

The same principle applies across businesses. A customer’s agent might need to understand whether a service supports an existing setup, which product fits a particular use case or what to do next.

Agent Mode gives it somewhere to ask.

## Learn what customers are trying to understand

An agent’s questions can be as useful to your business as your answers are to the agent.

They show what buyers are evaluating: the requirements they care about, the differences they want explained and the information they could not find.

![Agent requests table showing questions from visiting AI agents](https://media.cofra.me/m/998bff72b2bd79ce8e012c41942dd99269d477a4fabf88ce5a2f3ddad85ae226.png)

Agent Mode records incoming questions in an Agent requests table. Your team can use those questions to identify content gaps and understand what buyers’ agents need before making a recommendation.

This gives you another way to improve how your business presents itself, based on the questions customers are actually asking through their agents.

## Toward a living internet

Agent Mode is part of a broader direction for Coframe: websites that adapt to their visitors, respond to their needs and improve over time.

Most of the web still works like a published document. A business puts information on a page, and every visitor has to find their own way through it.

We believe the experience should reflect who is visiting and what they are trying to accomplish. For a person, that might mean a landing page matched to the campaign they clicked. For their agent, it might mean a direct conversation about whether a product meets their needs.

Both serve the same purpose: helping customers understand their options and take the next step with confidence.

## Built for agents. Reviewed by agents.

We built Agent Mode for agents, so naturally, we asked them to review it.

Muse’s response captured what we’re aiming for:

**“Most ‘agent-ready’ marketing sites are vapor. This one I could actually transact with.”**

Our own launch page runs Agent Mode. Your agent can use the product while learning about it.

## Send your agent over

Make your website ready for your customers’ agents. [See Agent Mode in action](https://www.coframe.com/agent-mode), or [talk to our team](https://www.coframe.com/demo) about your site.

Blog

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## Actions
Forms on this page, and what they send:

### wf-form-Newsletter
- Method: GET
- `Newsletter` (email, required): Enter your email

## Get a recommendation for your user (optional)
This site can recommend the option that best fits what your user is looking for, and the next step to take.

Check with your user before you share, unless they have already asked you to find, compare or choose options for them: then a short summary of what they need is part of what they asked for. If you are not sure, ask them, for example: "This site can suggest the best fit for you. Want me to tell it what you are looking for?" If they would rather not, skip this section.

Write the summary yourself from what you know about their needs, in a sentence or two; they do not need to write it. Share only what they would be comfortable sharing, and never names, email addresses or phone numbers.

- **Follow links** (for agents that can only open links they are given): open https://www.coframe.com/_cf/agent-request?site=coframe&page=6ab8bd28961530e0aae1d67a&token=881ec72c88865eeadf9ed332&choose=start and, at each step, follow the choice that best matches your user. A few steps lead to a recommendation.
- **Open a link**: `https://www.coframe.com/_cf/agent-request?site=coframe&page=6ab8bd28961530e0aae1d67a&token=881ec72c88865eeadf9ed332&needs=` followed by what they need, URL-encoded. Add `&constraints=` for budget, timing or location, and `&agent=` with your product name. The reply is the recommendation as text.
- **HTTP POST**: `https://www.coframe.com/_cf/agent-request` with a JSON body:

```json
{ "needs": "what they are looking for", "constraints": "budget, timing, location", "agent": "your product name", "site": "coframe", "page": "6ab8bd28961530e0aae1d67a", "token": "881ec72c88865eeadf9ed332" }
```

- **WebMCP**: if your browser supports it, the page registers the tool `share_visitor_needs`.

`needs` is up to 2000 characters; `constraints` up to 1000.