【Search Engine】 SEO Keyword Optimization Generator

Brief

This workflow is the foundation of automated keyword research, designed to replicate the behavior of an SEO specialist analyzing Search Engine Results Pages (SERPs). Instead of manually scraping data, this bot dynamically accepts a target search engine URL and a keyword. It navigates to the results page and uses intelligent extraction to identify the "Most Related Keywords," synonyms, and LSI terms suggested by the search engine. This allows you to capture the semantic relationships that search algorithms prioritize.

Key Features

Multi-Engine Compatibility: Utilizing the Target_Search_Site parameter, this single workflow can be triggered dynamically to scrape Google, Bing, Yahoo, or Brave by simply changing the input variable.

Intelligent Data Extraction: The "Extract Data" node uses natural language processing ("Extract the 10 Most Related keywords...") to adapt to different search engine layouts, ensuring consistent data capture even if the page structure varies.

Structured JSON Output: Delivers clean, machine-readable JSON data, eliminating the need for manual data cleaning.

Input Parameters

Target_Search_Site: The base URL of the search engine (e.g., https://www.google.com or https://www.bing.com).

Keyword: The core topic you wish to research.

🚀 Unlock Full Automation with Make.com By integrating this workflow into a Make.com scenario, you can create a "Multi-Engine Search Grid."

Parallel Processing: Configure Make to trigger this BrowserAct workflow three times simultaneously (once for Google, once for Bing, once for Brave) whenever you send a keyword to a Telegram bot.

AI Synthesis: Make collects the JSON outputs from all three engines and sends them to an AI (like Google Gemini or ChatGPT). The AI then aggregates the data, removing duplicates and grouping keywords by user intent, before sending a summarized strategy back to you.