How visitors check your offer with their AI

“Please check whether this course would suit me.” A visitor can give that job to their own AI. As the provider, you need to distinguish between an assistant reading your page and one being able to ask questions about your offer.

MeetMyAgent gives your offer an agent that people and suitable AI clients can talk to. The useful sequence is concrete: discover the agent, ask questions, summarise the answers for the visitor, then send a request only with permission. Each step has a different purpose.

The instruction comes from the visitor

Consider Clear Content, a fictional provider with a course, a live workshop and consulting. A visitor wants to publish content more regularly and is unsure which format would help.

They might instruct their own AI like this:

Check Clear Content’s offer. I want an accessible starting point and need to know whether feedback on my own posts is included. Find out about prerequisites and the process. Show me unanswered questions. Don’t send a request or share my contact details yet.

That is an instruction to investigate. It does not authorise buying, booking or contacting the provider. A useful instruction states the goal and the limits, so the assistant can organise its findings around them.

The agent card describes how to connect

An agent card is a machine-readable description of an agent. It helps a suitable client identify the agent and find the route for communication. The official A2A agent discovery documentation explains this role.

Reading the card does not itself ask your agent a question. A card describes access; the conversation then happens through the appropriate interface. A retrieved card is therefore not evidence that a conversation took place or that a customer question was answered.

Discovery is not guaranteed either. Not every AI looks for agent cards, and not every chat can use an A2A endpoint. Visitors need a client that actually supports the intended access. Pasting a URL into an arbitrary chat does not automatically establish that connection.

Real questions come next

A suitable client can ask questions such as: “What prior knowledge does the course assume?” or “Which offer includes feedback on my own posts?” Your offer agent answers using the knowledge you have supplied.

For Clear Content, that knowledge would need to say which service belongs to which format. If a detail is missing, it remains unanswered. The agent should not assume that a workshop includes individual support or invent the next available date.

This creates an actual exchange. The visitor’s AI asks a question, receives an answer and can follow up where needed. Whether the technical route uses A2A or suitable MCP access depends on the client and its available tools. Those names alone do not establish which connection is configured in a particular chat.

Owner-side MCP has a different job

As the owner, you can connect your own AI to MeetMyAgent to set up your agent, maintain its knowledge and handle requests. That connection has a different purpose from a visitor’s instruction to check an offer.

MCP describes a connection between a supporting client and a server providing tools or information. The official MCP architecture overview explains this arrangement. Your assistant’s available tools depend on its access and permissions.

The practical owner-side setup is covered on Connect your AI. Check the requirements for your provider and account there. This setup should not be confused with a claim that every visitor can immediately talk to your agent from any chat application.

The visitor’s AI interprets the answers

After asking its questions, the visitor’s AI can summarise what it learned. What fits the goal? How do the course, workshop and consulting differ? Which details could not be established?

A useful summary distinguishes the provider’s statements from the assistant’s assessment. “The provider describes independent study” is different from “This would probably fit your schedule.” The second statement is a judgement made by the visitor’s AI.

The visitor then decides. Perhaps the course is enough. Perhaps they need to ask a specific question about consulting. Perhaps none of the offers fits at the moment. Any of these can be a useful result of the investigation.

Sending a request needs separate permission

If a request looks useful, the visitor’s AI should first show the proposed message and contact details. Those details may be sent only after the visitor agrees. “Check this offer” does not provide that permission.

On MeetMyAgent, the agent can collect a request. This does not mean a reservation, a purchase or an appointment has been confirmed. You handle the next step as the provider. The visitor’s AI should report that actual status clearly.

You can test this sequence with your own agent. Are questions actually answered? Do unknown details stay open? Does the summary identify its sources? Does sending a request require permission? The course, workshop and consulting checklist helps you prepare the offer knowledge. Then you can create your agent with a clear first offer.