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Selzy
Google Gemini AI

Connect Selzy and Google Gemini AI

Explore ready-made Selzy and Google Gemini AI templates and start automating in minutes.

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Create a custom workflow

Integrate Selzy with Google Gemini AI and automate the work that moves between them — no code required.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Selzy
Trigger: Watch new completed campaigns
Google Gemini AI
Action: Select an action
1. Select a trigger

  • Fires when a campaign finishes sending. getCampaigns has no status filter, so the module polls the list and keeps only campaigns in status `completed`.

  • Fires when a campaign is scheduled but has not started yet — statuses `scheduled` and `waits_schedule`.

  • Fires the moment a contact subscribes to a list. Uses a Selzy webhook, so there is no polling delay.

  • Fires when a RECIPIENT unsubscribes themselves — through the unsubscribe link or page in an email. It does NOT fire for unsubscribes made through the API, including this app's own "Unsubscribe a Contact" action: that path writes the unsubscription without raising the event. Useful side effect — a scenario that unsubscribes contacts cannot trigger itself in a loop.

2. Select an action

  • Creates a new file search store.

  • Deletes a file from a selected files search store.

  • Deletes a file search store.

  • Extracts structured data from text or files.

  • Generates a response for the provided input.

  • Generates a video using the general purpose Gemini model family.

  • Generates a video using the Veo models.

  • Generates an image using Gemini's image generation capabilities.

  • Generates an image using the imagen models.

  • Generate vector representations (embeddings) for the text or file you provide.

  • Generate high-quality, stereo audio from text prompts or from images.

  • Generates an audio file based on text input and settings.

  • Returns detailed information about a file in a file search store.

  • Retrieves details about a file search store.

  • Retrieves the full details of a single interaction (e.g. from a deep research agent).

  • Performs an arbitrary authorized API call.

  • Runs a deep research agent by Gemini.

  • Generates text responses from prompts without requiring an account or connection.

  • Uploads a file so it can be used in the completions or in file search stores.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between Selzy and Google Gemini AI.

Create a contact list
Creates a new contact list.
Action
Create a field
Creates a custom contact field.
Action
Create a file search store
Creates a new file search store.
Action
Delete a contact list
Permanently deletes a contact list. Contacts themselves are not deleted.
Action
Delete a field
Deletes a custom contact field and every value stored in it.
Action
Delete a file in a file search store
Deletes a file from a selected files search store.
Action
Delete a file search store
Deletes a file search store.
Action
Extract structured data
Extracts structured data from text or files.
Action
Generate a response
Generates a response for the provided input.
Action
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FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.