Create a Make chatbot for your site
An automation agency tested Make’s beta AI Agent inside a live site-chat workflow to reply to visitors and store lead details.
- What they did
- They built the chatbot on Make’s scenario canvas using the closed-beta AI Agent. It could use tools and mapped data to speak in the agency’s tone, sort prospects, collect structured information, and record the output in Google Sheets. The person overseeing it mainly checked the agent’s visible reasoning and tool activity so they could keep refining the flow.
- How it went
- What they got was a functioning chatbot for a real website scenario, with the agent’s thought process, tool selection, and data handling displayed on screen. They did not publish figures for lead count, answer quality, or conversions, so the outcome is qualitative rather than measured.
- Tips
- If you want to use a setup like this, focus first on traceability: being able to see why the agent chose each action makes tuning much easier. Treat a closed beta as something to test carefully before it touches live visitors or records.
Try it yourself with Make
Help me build a Make AI Agent for a [business type] site chatbot. It should handle typical visitor questions about [products, services, hours, policies], gather the important details, decide whether the person is a qualified lead, and save the result in [Google Sheets/CRM]. Show each step of the scenario, tell me which tools and fields to connect, and stop for my approval before it sends any message, submits any form, deletes anything, or writes to a live system. First, let me test it with [3] sample visitor questions and one case that should be escalated to me.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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