Resources · Make integration

Google Gemini AI Make integrationAutomate Google Gemini AI with Make.

What if every form, email or file you receive came with a draft answer already written? The Google Gemini AI Make integration gives you 17 modules, 15 actions and 2 searches, to put Gemini inside your scenarios. This guide connects your account and walks you through a first working scenario.

Verified Trustpilot reviews · AI, automation & growth agency

What you can automate

What can you automate with the Google Gemini AI Make integration?

The Google Gemini AI Make integration lets Make send text, files or prompts to Gemini and pass the result to your other apps. In Make, an automation is called a scenario: a chain of bricks named modules. Gemini has no trigger of its own, so another app or a schedule starts the scenario, and Gemini does the thinking in the middle.

Structured records from messy input. An inbound email or a PDF quote lands in another app; Extract structured data turns it into clean values you can map into a CRM or a table, such as the one behind the Airtable Make integration.

Content that ships with its media. A product brief goes through Generate a response for the copy, then Generate an image or Generate speech from text for the visual or the voice-over, all in one run.

Answers grounded in your own documents. With Upload a file and the file search store modules, you keep a set of reference files that Gemini can use in its completions.

What the integration does not do: it cannot start a scenario by itself, and the documentation gives no numbered limit for this app, so check your own volumes with Run once before you scale up. The same app also has an n8n node, described on the Google Gemini AI n8n integration page; the n8n vs Make comparison helps you pick between the two tools.

Connect

How do you connect Google Gemini AI to Make?

  1. 01

    Add a Gemini module

    In your scenario, click the +, type Gemini in the search box and pick the module you need. Make then asks for a connection, meaning your Gemini account linked to Make once and reused by every Gemini module afterward.

  2. 02

    Create the connection

    Click Create a connection. You can give it a name, which helps when a client account and your own account sit side by side in the same Make organization.

  3. 03

    Authorize and save

    Follow what Make displays: either approve access on the Google page that opens, or paste the key Google gives you. Click Save, and the module fields unlock so you can finish the setup.

First scenario

Your first scenario with Google Gemini AI

GoalWhen a new request arrives in another app, Google Gemini AI drafts a reply and Make passes it on.

  1. 01

    Create the scenario

    Open the Scenarios page, create a new scenario and click the +. Pick the trigger of the app where requests land: a form tool, a spreadsheet or an inbox.

  2. 02

    Add Generate a response

    Click the + on the right of that first module, search Gemini and choose Generate a response. Create the connection if Make asks for it.

  3. 03

    Map the request into the prompt

    Write your instruction in the input, then drag in the text coming from the first module. Each item that flows between modules is a bundle, so every request gets its own reply.

  4. 04

    Test with Run once

    Click Run once and send a test request. Open the bubble above each module to read the bundles it received and check the reply Gemini wrote.

  5. 05

    Schedule and switch on

    Add the step that stores or sends the reply, then set the clock on the first module. A new scenario checks every 15 minutes by default. Switch the scenario on.

Modules

What can Google Gemini AI do in Make?

Google Gemini AI gives you 17 modules. For each one: what it does for you, when to reach for it, and what to watch out for.

Google Gemini AI1

Create a file search store

Action

In MakeCreates a new file search store.

Sets up a new file search store, a container on the Gemini side that holds reference files for later use in answers. It is the first step before any file can join a store.

When to use it
you start a knowledge base for a client or a product line and want its documents kept apart from the rest.
Watch out
run it once per store, not inside a loop, or you end up with duplicate stores.
Google Gemini AI2

Delete a file in a file search store

Action

In MakeDeletes a file from a selected files search store.

Removes one file from the store you select, so Gemini stops relying on it. The store itself and its other files stay in place.

When to use it
a policy or a price sheet has been replaced and the old version must no longer feed the answers.
Watch out
a deletion cannot be undone, so test it on a copy with Run once before you let it run on real stores.
Google Gemini AI3

Delete a file search store

Action

In MakeDeletes a file search store.

Wipes an entire file search store in one step. It is the clean-up move once a project or a client folder is closed.

When to use it
a contract ends and nothing from that client should stay available to your scenarios.
Watch out
unlike the module that removes a single file, this one takes everything, and there is no way back; place a filter before it to confirm the right store.
Google Gemini AI4

Extract structured data

Action

In MakeExtracts structured data from text or files.

Reads free text or a file and returns the pieces you ask for as separate values, ready to map into the next module. Messy input goes in, tidy fields come out.

When to use it
quotes, CVs or support emails arrive as prose and you need names, amounts or dates in columns.
Watch out
describe each value clearly, then check a few results with Run once before trusting the output.
Google Gemini AI5

Generate an image

Action

In MakeGenerates an image.

Produces a picture from your description and hands it to the next module as a file. You can then store it, attach it or publish it without leaving the scenario.

When to use it
every new blog post or product listing needs a cover visual built from its own title.
Watch out
each image is one operation, the unit Make counts on your plan, so keep an eye on usage when many items pass through.
Google Gemini AI6

Generate a response

Action

In MakeGenerates a response for the provided input.

This is the workhorse: you give an input and Gemini writes back an answer you can reuse anywhere downstream. It uses your connection, so it can also work with files you have uploaded.

When to use it
drafting replies, summarizing a meeting note or rewriting a description in another tone.
Watch out
for a quick test without an account, Simple text prompt is lighter; keep this module for production scenarios.
Google Gemini AI7

Generate a video

Action

In MakeGenerates a video.

Creates a video clip from your instructions and passes it along as a file. It turns a written idea into footage without opening an editing tool.

When to use it
a marketing team wants a teaser for each new campaign entry in its planning table.
Watch out
video is heavy; on the Free plan files stop at 5 MB and data transfer at 512 MB, so check where the clip goes next.
Google Gemini AI8

Generate embeddings

Action

In MakeGenerate vector representations (embeddings) for the text or file you provide.

Turns a text or a file into a vector, a list of numbers that captures meaning so that similar content can be matched. The output feeds a database or a search tool rather than a person.

When to use it
you build your own semantic search or want to group support tickets by topic.
Watch out
the vectors mean nothing on their own; plan the app that will store and compare them first.
Google Gemini AI9

Generate music

Action

In MakeGenerate high-quality, stereo audio from text prompts or from images.

Composes a stereo audio track from a text prompt or from an image. You get a sound file ready to pair with a video or a post.

When to use it
short social clips need a background track that matches the mood of the picture you already produced.
Watch out
the output is a file, so the next module must accept audio; map it into storage before you publish it.
Google Gemini AI10

Generate speech from text

Action

In MakeGenerates an audio file based on text input and settings.

Reads your text aloud and returns an audio file, shaped by the voice settings you choose. Written content becomes something people can listen to.

When to use it
a newsletter or a training page should also exist as audio for people on the move.
Watch out
on the Free plan, files stop at 5 MB, so check that the next app accepts what the module returns.
Google Gemini AI11

Get a file from a file search store

Action

In MakeReturns detailed information about a file in a file search store.

Returns the details of one file inside a store, so you can check what Gemini holds before acting on it. Nothing is changed.

When to use it
before replacing a document, you confirm that the right file is in the right store.
Watch out
you need the store and the file identifiers; List files from a file search store is the easy way to find them.
Google Gemini AI12

Get a file search store

Action

In MakeRetrieves details about a file search store.

Brings back the details of a single file search store. It is a read-only look that tells you the store exists and what describes it.

When to use it
a scenario must confirm that a client store is there before it uploads new material into it.
Watch out
it needs the store identifier; feed it from List file search stores rather than typing it by hand.
Google Gemini AI13

Make an API call

Action

In MakePerforms an arbitrary authorized API call.

Calls any endpoint of the Gemini API with the connection you already set up. It covers whatever the other modules leave out.

When to use it
Google ships a new option and no ready-made module exposes it yet.
Watch out
you write the request yourself from the Google API reference, so this is the one module on the page that asks for some technical reading.
Google Gemini AI14

Simple text prompt

Action

In MakeGenerates text responses from prompts without requiring an account or connection.

Sends a prompt and returns text, without any account or connection. It is the fastest way to see Gemini inside a scenario.

When to use it
a first test, or a light job such as rewording a subject line before an email goes out.
Watch out
since it runs without your connection, it cannot use your uploaded files or stores; move to Generate a response when you need them.
Google Gemini AI15

Upload a file

Action

In MakeUploads a file so it can be used in the completions or in file search stores.

Sends a file to Gemini so later modules can use it, either in a completion or inside a file search store. Think of it as handing over the document before asking questions about it.

When to use it
a contract arrives in your storage app and you want Gemini to summarize or check it.
Watch out
map the file itself from the previous module, not just its name: Gemini needs the content to work on.
Google Gemini AI16

List file search stores

Search

In MakeReturns a list of file search stores.

Gives you every file search store on the account, each one as a separate bundle. It is a search module, so it may return zero, one or many results.

When to use it
a housekeeping scenario reviews all stores and flags the ones tied to finished projects.
Watch out
each store triggers the next modules separately; add a filter so you only act on the ones that matter.
Google Gemini AI17

List files from a file search store

Search

In MakeReturns a list of files from a selected file search store.

Shows the files held in one chosen store, one bundle per file. You see exactly what Gemini can draw on for that store.

When to use it
an audit before a client handover, or finding the identifier of the file you are about to delete.
Watch out
an empty store returns nothing and the following modules simply do not run, which can look like a failure at first.
Need help

Need help automating Google Gemini AI with Make?

A person reads every message.

FAQ

Questions about the Google Gemini AI Make integration

01Is the Google Gemini AI Make integration free?
Yes, on the Make side. Google Gemini AI is a standard app, so it works on the Free plan. That plan allows 2 active scenarios, a minimum of 15 minutes between scheduled runs, 5 minutes of execution per run, files up to 5 MB and 512 MB of data transfer. Paid plans (Core, Pro, Teams and Enterprise) bring the interval down to 1 minute and remove the cap on active scenarios. Any cost on the Google side is a separate matter to check in your Google account.
02What do you need to connect Google Gemini AI to Make?
A Make account and access to your Gemini account. Add any Gemini module, click Create a connection, give it a name if you like, then either approve access on the Google page or paste the key Google provides, and click Save. The documentation lists no other prerequisite. One exception worth knowing: the Simple text prompt module runs without any connection at all, which makes it a good way to try Gemini before you set up access.
03Can a Google Gemini AI scenario in Make start on its own?
No. Google Gemini AI has no trigger module in Make, so it never starts a scenario by itself. Two options work instead. Put the trigger of another app first, such as a new form answer or a new row, and Gemini acts on each item it receives. Or leave the first slot to a Make schedule, which checks every 15 minutes by default on a new scenario, or every 1 minute at best on a paid plan.
04What if a Google Gemini AI module is missing in Make?
Use Make an API call. It reaches any endpoint of the Gemini API with the same connection as the other modules, so a feature without a ready-made module is still within reach. You write the request from the Google API reference, which takes a little more care than filling a standard module. The documentation gives no numbered limit for this app; if a run fails, start with Make troubleshooting, which walks through the usual causes.
05Make or n8n for Google Gemini AI?
Both can work, and the choice depends on the tool your team already uses. Google Gemini AI has an n8n node as well as these 17 Make modules, so neither side is a dead end. In Make you get a visual editor, a Run once test and a Free plan with 2 active scenarios. The best move is to list the modules your scenario needs, check that each one exists in the tool you prefer, and build there.