Keyword Frequency Analyzer for SEO

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.

How the AI Flow works - Keyword Frequency Analyzer for SEO

Flows

How the AI Flow works

User Provides Target Keyword.
The user initiates the process by entering a target keyword to analyze.
Perform Google Search.
The workflow searches Google for the target keyword and gathers the top-ranking URLs.
Extract Content from URLs.
The content from the collected URLs is retrieved for analysis.
Analyze Keyword Frequency.
The retrieved content is analyzed to find the most frequently used keywords.
Present Top Keywords.
The resulting list of top keywords is presented to the user for SEO optimization insights.

Prompts used in this flow

Below is a complete list of all prompts used in this flow to achieve its functionality. Prompts are the instructions given to the AI model to generate responses or perform actions. They guide the AI in understanding user intent and generating relevant outputs.

Components used in this flow

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.

Chat Opened Trigger

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.

Message Widget

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.

ChatInput

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.

GoogleSearch Component

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.

URL Retriever

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.

Keyword Frequency Evaluator

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.

Chat Output

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

Purpose and benefits

Workflow Overview: Keyword Frequency Analyses

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.

Step-by-Step Workflow Description

  1. User Interaction and Welcome Message

    • When the chat is opened, the user is greeted with a message:
      "👋 Welcome to the Keyword Frequency Examiner! I’m here to help you analyze the most frequently used keywords on pages ranking for your target keyword 🔍📊. Enter your target keyword, and let’s get started! ✨🚀"
    • This ensures users immediately understand the tool’s purpose and how to begin.
  2. Receiving the Target Keyword

    • The user enters their target keyword via a chat input.
    • This keyword serves as the basis for the entire analysis.
  3. Automated Google Search

    • The workflow takes the user’s keyword and performs a Google search.
    • It retrieves the top 10 URLs (customizable) that rank for the entered keyword, ensuring focus on the most relevant and authoritative pages.
  4. Fetching Page Content

    • For each of these URLs, the workflow automatically retrieves the webpage content.
    • The content is processed up to a large maximum token limit (300,000 by default) to ensure comprehensive coverage of each page.
  5. Keyword Frequency Evaluation

    • The collected content is sent to a “Keyword Frequency Evaluator” component.
    • This component analyzes all the text and computes the frequency of keywords, optionally excluding stopwords and applying additional filters if needed.
  6. Displaying Results

    • The final output is a list or summary of the most frequently used keywords across the top-ranking pages for the target keyword.
    • This analysis is displayed back to the user through the chat interface.

Workflow Structure

StepPurposeAutomation Level
Welcome MessageOrient the user and prompt for inputFully automated
Keyword InputReceive the keyword to analyzeUser input
Google SearchFind top pages ranking for the keywordAutomated
Retrieve ContentFetch the actual text from each top-ranking pageAutomated
Keyword AnalysisEvaluate and compute most frequent keywords from all contentAutomated
Present ResultsDisplay the findings in the chatAutomated

Why This Workflow Is Useful

  • Efficiency/Automation: Manually researching top-ranking competitors and extracting keyword frequencies is highly time-consuming. This workflow automates the entire process, often requiring only a single user input.
  • Scalability: Whether you want to analyze one keyword or dozens, the workflow operates the same way, making it suitable for both individual research and scaling up for larger projects.
  • SEO/Content Strategy: By identifying which keywords are most common among top-ranking pages, users can better understand the competitive landscape and optimize their own content accordingly.
  • Repeatability & Consistency: Automation ensures the process is consistent every time, reducing human error and subjective judgment.

Potential Applications

  • SEO professionals looking to improve their keyword research and on-page optimization.
  • Content marketers aiming to align their content with what is working for competitors.
  • Agencies that need to conduct keyword analyses at scale for multiple clients.
  • Anyone interested in understanding the lexical patterns of top-performing web content for a given topic.

Summary

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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