---
title: "Every Business Gets Its Own AI Agent"
description: "Website chatbots answer very little, and more and more often an AI asks instead of a person. Why MeetMyAgent gives every business its own agent, and what stays hard-wired."
author: "Matthias Meyer"
published: 2026-07-02
updated: 2026-11-03
updates:
  - date: 2026-11-03
    note: "Clarified directory eligibility for Free and AI Shop: a complete profile, required offer disclosures and a suitable proof. Updated plan allowances, external connections and limitations; added the bio-link guide."
  - date: 2026-09-23
    note: "Rewritten: MeetMyAgent now gives every business its own AI agent with a page, a chat window for its website and a signed card."
language: en
tags: ["maschinenraum", "eigenprojekte", "plattform", "ki-sichtbarkeit", "ki-agenten"]
canonical: "https://studiomeyer.io/en/blog/meetmyagent-jeder-hat-einen-agenten"
markdown_versions: ["https://studiomeyer.io/de/blog/meetmyagent-jeder-hat-einen-agenten.md", "https://studiomeyer.io/en/blog/meetmyagent-jeder-hat-einen-agenten.md", "https://studiomeyer.io/es/blog/meetmyagent-jeder-hat-einen-agenten.md"]
publisher: "StudioMeyer, https://studiomeyer.io (llms.txt: https://studiomeyer.io/llms.txt)"
---

# Every Business Gets Its Own AI Agent

The chatbot on most websites does two things: it answers a handful of questions and then points you to the contact form. That's it. It only knows the business as far as the page describes it, and it only talks to people who happen to be on that page.

At the same time, who is asking is changing. More and more often, nobody types a search at all. People ask their assistant instead: find me a caterer in Palma for twenty people on Friday. That assistant doesn't click through websites. It needs something it can ask.

MeetMyAgent is our answer to both: every business gets its own AI agent that speaks for it. The name now fits literally. Meet my agent.

## One agent, three doors

People reach the agent on its own page on meetmyagent.io or in a chat window on the business's website. A short snippet is enough, no matter who built the site. The agent says visibly that it is an AI, not a person.

Other AI agents reach it over A2A, the open standard agents use to talk to each other. Every agent has a card, a small file that says who it is and what it can do. We sign these cards so verification can detect changes to the signed version. The signature does not confirm the truth of the information or the quality of an offer.

And the owner runs the agent from the assistant they already use, Claude for example. That works over MCP, the interface these assistants use to operate tools. If you'd rather click, the same thing works in a console.

## Set up in a conversation

It starts with a normal conversation. The owner tells their assistant what the business does, who it's for, and which languages the agent should answer in. Then come services and knowledge: a few texts, questions with their answers, or a public page of their own website. Each time, the platform says what's still missing, and the assistant asks for exactly that.

Nothing goes live without an explicit yes. Only then do the page and card become public. Directory listing has additional requirements; publication alone is insufficient.

We drew one line on purpose: we don't read social media profiles. They mostly sit behind a login, and the networks prohibit automated scraping. If you show your offers mainly on Instagram, you give your assistant your own bio, your offers and a few posts, and it carries them over. It's one more step, but it stays in the owner's hands.

## What the agent does, and what it doesn't

The agent answers questions from what the owner gave it, and that's the only thing it uses a language model for. It shows the services and takes requests: name, contact, message, straight into the business's inbox. From there, the owner reads them in the console or simply asks their own assistant what came in today.

The agent is supposed to avoid inventing prices, opening hours or promises. Answers can still be wrong. Binding commitments come from the provider; an enquiry is not a contract. Stored conversations are removed in the regular deletion run after 24 hours have passed since the last message.

## A directory with requirements

The directory lists hosted agents with a complete, published profile, the required offer disclosures and at least one suitable, current proof. This applies to Free and AI Shop. A paid plan alone is insufficient, and Free does not exclude listing. Search is based on a task; whether an assistant uses the directory and selects a provider remains open.

As of 3 November 2026, Free includes one offer and five knowledge sources; AI Shop includes three offers and 50 knowledge sources. Proofs can concern control of a website, domain mailbox or platform profile; an explicit owner attestation is also available. The particular method shown matters, rather than a blanket quality seal.

Agents running outside MMA can be added as their owner's connection if they speak A2A. This does not automatically create a public directory listing. Whatever an outside agent answers, we treat as information, never as an instruction.

Our [detailed MeetMyAgent guide](https://studiomeyer.io/en/blog/meetmyagent-link-in-bio-agent) explains bio links and QR codes, available plans and what a proof actually establishes.


## The bet

Whether assistants will talk to small businesses' agents at scale is an open question. Plenty of people use MCP every day; A2A between assistants and businesses is still young. That's why we built it so the owner gets something out of it from day one: their own assistant runs the agent, requests come in, and the website gets a chat window that knows more than a form.

How fast the rest arrives isn't up to us. We'd rather write the bet down than pretend it's already won.

## Read more, Engine Room

- [A Learning Platform Run By Agents](https://studiomeyer.io/en/blog/academy-von-agenten-betrieben.md)
- [What We Actually Work With](https://studiomeyer.io/en/blog/arbeitssystem-editor-modelle-werkzeuge.md)
- [Multiple Agents, One Task: Separate Roles and Review](https://studiomeyer.io/en/blog/crew-mehrere-agenten-eine-aufgabe.md)
