Message Widget
Welcome message displayed to the user when the workflow starts.
This flow analyzes the most frequently used keywords on top-ranking web pages for a target keyword. Ideal for SEO professionals and content marketers aiming to optimize their content with competitive keyword data.

Flows
Welcome message displayed to the user when the workflow starts.
Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.
The Chat Opened Trigger component detects when a chat session starts, enabling workflows to respond instantly as soon as a user opens the chat. It initiates flows with the initial chat message, making it essential for building responsive, interactive chatbots.
The Message Widget component displays custom messages within your workflow. Ideal for welcoming users, providing instructions, or showing any important information, it supports Markdown formatting and can be set to appear only once per session.
The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.
FlowHunt's GoogleSearch component enhances chatbot accuracy using Retrieval-Augmented Generation (RAG) to access up-to-date knowledge from Google. Control results with options like language, country, and query prefixes for precise and relevant outputs.
Unlock web content in your workflows with the URL Retriever component. Effortlessly extract and process the text and metadata from any list of URLs—including web articles, documents, and more. Supports advanced options like OCR for images, selective metadata extraction, and customizable caching, making it ideal for building knowledge-rich AI flows and automations.
Analyze your texts to discover the most frequent and significant keywords using the Keyword Frequency Evaluator component in FlowHunt. Automatically extract top keywords, filter out common stopwords, and fine-tune results based on frequency, word length, and keyword overlap—ideal for text analysis, information extraction, and content summarization workflows.
Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.
Flow description
This workflow, titled “Keyword frequency analyses”, is designed to help users automatically analyze the most frequently used keywords on web pages that rank for a specific target keyword. It streamlines the process of competitive keyword research, making it easier to identify common terms and topics among top-ranking pages for any search query.
User Interaction and Welcome Message
Receiving the Target Keyword
Automated Google Search
Fetching Page Content
Keyword Frequency Evaluation
Displaying Results
| Step | Purpose | Automation Level |
|---|---|---|
| Welcome Message | Orient the user and prompt for input | Fully automated |
| Keyword Input | Receive the keyword to analyze | User input |
| Google Search | Find top pages ranking for the keyword | Automated |
| Retrieve Content | Fetch the actual text from each top-ranking page | Automated |
| Keyword Analysis | Evaluate and compute most frequent keywords from all content | Automated |
| Present Results | Display the findings in the chat | Automated |
This workflow automates the research and analysis of keyword usage among top-ranking pages for any target keyword. It is a powerful tool for scaling competitive analysis, improving SEO strategies, and quickly identifying content opportunities. With just a keyword input, users receive actionable insights into the language and topics that drive successful pages in Google search results.
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