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Zapier Chatbots: Set Up, Train and Connect Your Chatbot

Zapier Chatbots let you build a custom-branded AI chat assistant, give it instructions and your own knowledge, and put it on your website as a public link or an embed. You create one from the Chatbots home in a couple of clicks, and the Free Chatbots plan lets you have up to 2 chatbots on your account.

Here's the catch most people miss. A chatbot on your site and a chatbot that answers in Slack, Gmail or Facebook Messenger aren't the same job. The messaging-app versions run through Zaps, and Zapier's ready-made Zap templates for those apps have multiple steps and need a paid Zapier plan, on top of whatever Chatbots plan you're on. Plan for that before you promise your team a bot in every inbox.

What a Zapier chatbot is good for

Zapier's quick start guide names three uses, and they're a sensible way to decide whether you need one at all.

UseWhat it looks like, as of October 2026
Scale supportImmediate, customized answers to frequently asked questions about a product or your business
Pre-qualified leadsGathering information from users and recommending resources or product packages that fit their needs
Team productivityLetting other departments self-serve information, generate content and access training

Your Chatbots plan decides how many chatbots you can build and which features each one gets. The number of conversations is unlimited, but each conversation is capped by the tokens available on the AI model you pick. If you need more room, Zapier lets you use your own API key to reach models with larger token limits, and you can connect your OpenAI account to switch models. There's also a rate limit of 500 requests per minute, through the Chatbots interface and through a Zap.

Writing a directive that works

The directive is the instruction set. It tells the chatbot how to respond inside a conversation, and Zapier's advice is to make small edits and test until you get the result you want. You'll find it under the Instructions menu once you click your chatbot's name. Zapier suggests building it from these parts:

  • Role: who the chatbot represents, such as a customer service rep.
  • Objective: its main goal, like helping people find product information.
  • Audience: who it's talking to, so it can be more precise.
  • Context: what it should know about your products or services.
  • Style: whether it replies with a structure such as bullet points or headers.
  • Custom knowledge: details of any knowledge sources you've added.
  • Other rules: anything else it should consider when replying.

Three limits are worth knowing before you write. The chatbot flags directives that don't meet moderation standards and won't save them. Answers in other languages may not be as precise as answers in English. And if you're using the Collect leads logic type, keep data-collection instructions out of the directive, because mixing the two can give you unexpected behaviour or incomplete data. Zapier's rule is one collection method at a time.

Paid plans also get Training Mode, which looks at examples of good and bad responses from real conversations and suggests specific edits to your directive. Zapier notes it has OpenAI's agreement not to fine-tune or train models with customer content.

The greeting and your knowledge sources

The greeting is the first thing a visitor sees, so use it to tell people what the chatbot can help with. You can pick a static greeting or one tailored when the conversation starts. If you're stuck, click Generate a greeting with AI under the Greeting field, give it instructions such as a word limit or a topic, and click Generate. URL parameters let you drop specific details into the directive or greeting too.

Knowledge sources are where a chatbot stops sounding generic. You can add a text-based file, or link the chatbot to Zapier Tables or a webpage, so it has a definitive source for answers. Zapier's directive guide says uploading your own knowledge source files comes with paid Chatbots plans.

Setting one up from scratch

  1. Go to zapier.com/app/chatbots and log in, or sign up for a free Zapier account.
  2. From the Chatbots home, click Create, type a name and click Create again.
  3. Open the Instructions menu, write your directive and greeting, and click Save changes.
  4. Add a knowledge source: a file, a webpage or a Zapier Table.
  5. Style it to match your brand, adjust its creativity, and change colours and icons.
  6. Share it as a public link, add it inside Zapier Forms, or embed it on your website with the embed code.

On Team and Enterprise accounts, anyone with the Owner or Super admin account role has the same level of access to a chatbot as the person who built it. That's handy for cover, but it also means your admins can change the directive.

Answering in Slack, Gmail and Messenger

The Integrations tab inside your chatbot has ready-made Zap templates for Slack, Gmail, Zendesk and Facebook Messenger. Pick the app, make any selection it asks for, click Create Integration, and a prefilled Zap opens in a new window. You'll still need to fill some fields, test every step and publish, because a Zap can only be turned on once all required fields are filled and all steps are tested.

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If you build from scratch instead, the Zap starts with a blank trigger for the app your users talk to, then a preset Generate Reply to Message action. Two fields matter here. The Conversation Key needs a value that stays the same through a conversation, such as a session ID or the user's email address, or the chatbot can't continue the thread. The User Message field must map the trigger field holding the user's message. After that you add a final action step that sends the reply back to the app.

One chatbot, every channel

Zapier's guide to an omnichannel chatbot is simple: one chatbot as the central point, and a Zap for each channel. The trick is to keep the directive general, with no formatting or writing style in it and only information that applies everywhere. Then put channel instructions in each Zap's User Message field.

ChannelInstructions Zapier suggests for the User Message field
EmailA professional closing, a company signature at the end, a formal tone
Social mediaA friendly, conversational tone; short, engaging replies
SlackConcise and informative, emojis used sparingly, code blocks for technical information

My verdict on Zapier Chatbots

I'd use Zapier Chatbots if you've already got your FAQs, policies or product details written down, because a good knowledge source does most of the work. Start with the website embed, get the directive right in small edits, and only then add the Slack or Gmail Zaps. I'd skip it if you're hoping it'll answer from thin air: without your own knowledge it can't know your business. If you're new to Zaps, start with my guide to using Zapier, and check whether Zapier is free for the workflows you've got in mind.

A chatbot is often the first automation a small team tries. I run AI training and workshops for teams, and help businesses with AI enablement and workflow automation, so the busywork runs itself and people get time back. Most of that work is with SaaS marketing teams and small businesses. Here's how we can work together.

Frequently asked questions

How many chatbots does the free plan include?

On the Free Chatbots plan you can have up to 2 chatbots on your account. For more, Zapier points you to a paid Zapier Chatbots plan.

Can a Zapier chatbot reply in Slack or Gmail?

Yes, through Zaps. The chatbot's Integrations tab has ready-made templates for Slack, Gmail, Zendesk and Facebook Messenger, and those multi-step templates need a paid Zapier plan.

What is a chatbot directive in Zapier?

It's the instruction set that tells the chatbot how to respond, covering its role, objective, audience, context, style, custom knowledge and any other rules.

Is there a limit on conversations?

The number of conversations is unlimited, but each one is limited by the tokens available on the AI model you select. There's also a rate limit of 500 requests per minute.

Can my chatbot answer in other languages?

It can, but Zapier says results in other languages may not be as precise as when it uses English.

Published and maintained by the Lilach Bullock team, covering marketing, AI and business growth.
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