Resources · Make integration

LiveChatAI Make integrationAutomate LiveChatAI with Make.

Can Make keep your LiveChatAI chatbot fed and answering without manual work? The LiveChatAI Make integration gives you 9 modules: 1 instant trigger, 7 actions and 1 search. This guide shows support and ops teams how to connect the account, build a first scenario and pick the right module.

Try the LiveChatAI integration on MakeSee the 9 modules

Verified Trustpilot reviews · AI, automation & growth agency

What you can automate

What can the LiveChatAI Make integration do for you?

The LiveChatAI Make integration links your chatbot account to Make, a visual tool where you chain apps together without code. You build a scenario, which is the automation itself, out of modules: each module is one brick, such as a trigger that starts things or an action that does the work. Your bot can then learn from other tools and hand work back to them.

A knowledge base that grows on its own. When a new help article goes live or a new answer is approved somewhere else, Add Url as Data Source, Add Text as Data Source or Add Question and Answer as Data Source pushes it into the bot's training material, so nobody has to paste it by hand.

Conversations that feed your other tools. Fetch Conversations pulls chats out of LiveChatAI so the next module can file them in a spreadsheet, a CRM or a ticketing tool. A lead collected by the bot no longer stays stuck in the chat window.

Custom actions answered by Make. Watch AI Actions wakes your scenario the moment the bot calls one of your AI actions, and AI Action Responder sends back what the bot should say. Send Message and Join Conversation cover the rest of the chat side.

What the listed modules do not cover, Make an API Call can reach through the LiveChatAI API with the same connection. The Make documentation for this app is AI-generated from the vendor's docs, so check important details with LiveChatAI. The same app often has an n8n node too; our n8n vs Make comparison helps you choose, and the Make training takes you further once this first scenario runs.

Connect

How do you connect LiveChatAI to Make?

  1. 01

    Create an API key in LiveChatAI

    In LiveChatAI, click your profile picture at the top right of the dashboard, choose Profile, then open the API keys section. Create a new key and copy it right away. You need an active LiveChatAI account for this.

  2. 02

    Add a LiveChatAI module in Make

    Open your scenario in Make, add any LiveChatAI module and click Create a connection. A connection is your LiveChatAI account linked to Make once, then reused by every LiveChatAI module. The Connection name field is optional, but a clear name helps later.

  3. 03

    Paste the key and save

    Paste the API key you copied into the credentials field, or follow the instructions shown on screen, then save. Make now reads your LiveChatAI account, and the connection shows up in the list the next time you add a LiveChatAI module.

First scenario

Your first scenario: answer an AI action from Make

GoalWhen your LiveChatAI bot calls an AI action, Make receives it and sends the bot the answer to give.

  1. 01

    Create the scenario

    From the Scenarios page, create a new scenario and click the big + to place the first module. Search for LiveChatAI in the app list.

  2. 02

    Set the trigger

    Pick Watch AI Actions, click Create a webhook, then Create a connection and paste your API key. This module waits for LiveChatAI to call Make.

  3. 03

    Add the reply

    Click the + on the right of the trigger and add AI Action Responder. Map the data received from the trigger into the reply so the bot answers with the right details.

  4. 04

    Test with Run once

    Click Run once, then start the AI action from a test chat. Open the bubble above each module to read the bundle it received, meaning the item passed from one module to the next.

  5. 05

    Switch it on

    Once the test looks right, switch the scenario on. An instant trigger runs as soon as LiveChatAI calls it, so the default 15-minute schedule does not slow it down.

Triggers

The trigger that starts your scenario

1 module starts a scenario when something happens in LiveChatAI. A scheduled trigger is checked by Make on the scenario's schedule; an instant one is called by LiveChatAI as soon as it happens.

LiveChatAI1Watch AI Actions

Watch AI Actions

Instant trigger

In Make“Allows users to implement customizable workflows.”

You get a scenario that springs to life whenever your chatbot runs one of your AI actions, so a request typed in the chat can become work done in another tool. It is the only trigger of the app, and the entry point for custom workflows you design around the bot.

How it fires
instant, LiveChatAI warns Make through a webhook as soon as the action happens, with no polling interval.
When to use it
a visitor asks the bot to book a demo and you want that request passed to your calendar or CRM.
Watch out
create the webhook before the connection, and pair it with AI Action Responder when the bot expects an answer back.
Modules

What each LiveChatAI module does

LiveChatAI gives you 8 modules. For each one: what it does for you, when to reach for it, and what to watch out for.

LiveChatAI1

Add Question and Answer as Data Source

Action

In Make“Extracts and uses Q&A data to enhance user interactions and problem-solving within your workflows.”

Your bot learns a ready-made pair: one question, one approved answer. It fits well when you want to teach one specific reply rather than a whole page of content.

When to use it
a support lead validates a new answer in a shared sheet and you want the chatbot to know it without retyping.
Watch out
pick the text or URL modules instead for long content that is not a clear question.
LiveChatAI2

Add Text as Data Source

Action

In Make“Utilizes text-based data to enrich your workflows and make data-driven decisions.”

Free text from any other app ends up in the bot's training material, whether it is a product note, a policy or an internal procedure. It suits content that lives in a document or a field rather than on a public page.

When to use it
a product sheet is updated in your notes tool and the bot should reflect the change.
Watch out
if the content already sits on a public web page, Add Url as Data Source saves you copying the text.
LiveChatAI3

Add Url as Data Source

Action

In Make“Integrates web resources as data inputs for your workflows, enabling you to work with external information.”

Hand the bot a web address and it takes that page as a new source of knowledge. This keeps the chatbot in step with your help center or blog without pasting any content.

When to use it
a new article is published on your site and you want the bot able to quote it in the next chat.
Watch out
when the content is not published on a web page, send it with Add Text as Data Source instead.
LiveChatAI4

AI Action Responder

Action

In Make“Detailing what the AI might say in the response.”

Here the scenario tells the bot what to say after one of its AI actions has run. It closes the loop opened by Watch AI Actions, and the visitor reads an answer built from fresh data rather than a canned line.

When to use it
the bot asked Make to check an order and must now tell the customer what it found.
Watch out
it only makes sense after Watch AI Actions in the same scenario; on its own it has no action to answer.
LiveChatAI5

Join Conversation

Action

In Make“Seamlessly combines conversations to gain deeper insights and trigger actions based on combined data.”

This action acts on a LiveChatAI conversation; the Make directory describes it as combining conversations to get more insight and trigger follow-up actions. The official notes stop there, so check its exact effect in a test run.

When to use it
when a chat needs to be picked up or linked with another step of your support flow.
Watch out
read the output bundle after Run once before switching the scenario on.
LiveChatAI6

Make an API Call

Action

In Make“Performs an arbitrary authorized API call”

Reach any endpoint of the LiveChatAI API from your scenario, reusing the connection you already have. It is the fallback for anything the other eight modules do not offer.

When to use it
you found an API feature in the LiveChatAI documentation that has no ready module in Make.
Watch out
you write the request yourself, so read the vendor's API reference first and test with Run once before going live.
LiveChatAI7

Send Message

Action

In Make“Automates communication by sending messages through various channels, saving you time and effort.”

A message goes out through LiveChatAI straight from your scenario, so another tool can speak inside the chat without anyone typing. The directory presents it as a way to automate communication across channels.

When to use it
a payment is confirmed in your billing app and the customer should read a note about it in the conversation.
Watch out
each message is one operation, meaning one run of one module, the unit Make counts on your plan.
LiveChatAI8

Fetch Conversations

Search

In Make“Easily retrieves data from your conversations and use it as input for your workflows.”

Pull your chat history out of LiveChatAI so the next modules can read it, archive it or hand it to a CRM. As a search module, it can return zero, one or several conversations.

When to use it
you keep a review sheet of support chats or want leads from the bot copied into your sales tool.
Watch out
each conversation comes out as its own bundle, so the next module runs once per conversation and counts operations accordingly.
Need help

Need help automating LiveChatAI with Make?

A person reads every message.

FAQ

LiveChatAI and Make: common questions

01Is the LiveChatAI Make integration free?
Yes, on the Make side. LiveChatAI is a standard app, available from the Free plan like the 3,000+ standard apps of Make. The Free plan has limits: 2 active scenarios, at least 15 minutes between two scheduled runs, 5 minutes of execution per run, files up to 5 MB and 512 MB of data transfer. Paid plans lower the interval to 1 minute and remove the cap on active scenarios. You still need your own LiveChatAI account, whose pricing is set by LiveChatAI.
02What do you need to connect LiveChatAI to Make?
An active LiveChatAI account and an API key. You create the key from your profile, in the API keys section of the LiveChatAI dashboard, and copy it as soon as it appears. In Make, you add a LiveChatAI module, click Create a connection, give it a name if you like and paste the key. For the instant trigger Watch AI Actions, click Create a webhook first. The connection then serves every LiveChatAI module in your scenarios.
03Does the LiveChatAI Make trigger fire in real time?
Yes. Watch AI Actions is an instant trigger: LiveChatAI calls Make through a webhook as soon as the AI action runs, so the scenario does not wait for the 15-minute default schedule. It is the only trigger of the app. If you want to start from something else, such as a new page on your site, open the scenario with the trigger of that other app, then add a LiveChatAI action like Add Url as Data Source.
04What if a LiveChatAI module you need is missing in Make?
Use Make an API Call. It sends any request allowed by the LiveChatAI API while reusing the connection you already set up, so you can cover what the eight other modules leave out. Keep in mind that the Make documentation for this app is AI-generated from the vendor's docs and may contain mistakes. For anything important, check the LiveChatAI API reference or contact LiveChatAI directly before relying on it in a live scenario.
05Should you use Make or n8n with LiveChatAI?
It depends on the tool you already work in. On Make, LiveChatAI brings 9 ready modules, including an instant trigger for AI actions and three ways to feed the bot new knowledge, plus Make an API Call for the rest. The same app often has an n8n node as well, so check that it covers the actions you need before choosing. Neither answer is universal; pick the platform your team already builds with and test your main scenario there.
Same platform

Other docs you might need on this stack.

Browse all integrations