AI Agent (Keyword Researcher)
Acts as an expert in keyword researching and finding keyword clusters, using SEO tools to find related keywords with metrics.
This workflow automates keyword research by generating a detailed table of related keywords for your target phrase, including critical SEO metrics like search volume, CPC, bid ranges, and difficulty. Perfect for marketers and content creators aiming to expand their blog’s reach and improve SEO strategy efficiently.

Flows
Acts as an expert in keyword researching and finding keyword clusters, using SEO tools to find related keywords with metrics.
Formats and reports given keyword data as a markdown table, according to the provided goal and backstory.
Prompt template instructing to find top related keywords for the given input keyword.
Task for an agent to format given keywords into a markdown table.
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 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.
Learn how FlowHunt's Prompt component lets you define your AI bot’s role and behavior, ensuring relevant, personalized responses. Customize prompts and templates for effective, context-aware chatbot flows.
Unlock valuable keyword insights with the Google Keywords Finder component—automate the discovery of related keywords, search volume trends, competition, and cost-per-click data. Perfect for building flows that need real-time keyword research and SEO optimization capabilities.
The AI Agent component in FlowHunt empowers your workflows with autonomous decision-making and tool-using capabilities. It leverages large language models and connects to various tools to solve tasks, follow goals, and provide intelligent responses. Ideal for building advanced automations and interactive AI solutions.
The Sequential Task component organizes workflow steps by defining a clear task description, expected output, and assigning an agent to execute the task. Ideal for structured, multi-step processes, it ensures each step is well-documented and assigned, supporting complex automations in FlowHunt.
Experience organized workflow automation with the Sequential Crew component in FlowHunt. This component allows you to group multiple agent tasks and execute them one after another, making it ideal for processes that require clear, step-by-step task processing.
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 Research”, is designed to automate the process of finding and analyzing related keywords for SEO purposes. It streamlines the task of generating a comprehensive keyword report, including important SEO metrics, in response to a user-provided keyword. The workflow is particularly useful for content creators, bloggers, and SEO specialists who want to expand the reach of their articles and improve their ranking strategies efficiently.
“Given the keyword, find the top related keywords that my blog should also rank for: my keyword: {input}”
| Keyword | Search Volume | CPC | Highest Bid | Lowest Bid | Difficulty |
|---|---|---|---|---|---|
| example kw 1 | 12,000 | $1.20 | $1.80 | $0.80 | 38 |
| example kw 2 | 8,500 | $0.90 | $1.10 | $0.60 | 42 |
Note: Actual output will contain real data for the user’s chosen keyword and up to 30 related keywords.
By automating the keyword research process and delivering structured, actionable insights, this workflow empowers users to scale their SEO efforts, save valuable time, and make more data-driven decisions in their content strategies.
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