🤖 Automated SEO Strategy Generator (BrowserAct + Make + AI)
🤖 Automated SEO Strategy Generator (BrowserAct + Make + AI)
Apps used in template
About
This workflow creates an automated, end-to-end SEO strategy generator. It is triggered by a Telegram message, where an initial AI Toolkit refines the user's keyword. The system then uses four separate BrowserAct nodes to scrape real-time data from Google, Bing, Brave, and Google Trends. All collected data is synthesized by Google Gemini AI (acting as an expert SEO specialist) and delivered as a structured, mobile-ready keyword report back to the user via Telegram. Key Technologies: Trigger/Delivery: Telegram Web Scraping: BrowserAct (4 parallel/sequential tasks) Analysis: Google Gemini AI Refinement: Make AI Toolkit (initial processing) Orchestration: Make (formerly Make)
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Create custom workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Evaluates the tone of a text and determines if it’s `positive`, `neutral`, or `negative`. This is known as the sentiment.
Sends answer to an inline query.
Analyzes text and assigns it to categories from a list you define.
Splits text into smaller, more manageable pieces. These are known as chunks.
Creates an additional invite link for a chat.
Creates a new file search store.
Deletes a message. A message can only be deleted if it was sent less than 48 hours ago.
Deletes a file from a selected files search store.
Deletes a file search store.
FAQ
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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.
How it works
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