AI Blog Headline & Keyword Optimizer

This AI-powered workflow finds the best SEO keywords for your blog article and automatically rewrites headlines to target those keywords, improving your content’s search engine performance. Ideal for content marketers and SEO specialists looking to boost organic reach and relevance with minimal manual effort.

Flows

How the AI Flow works

Receive Article URL and Target Keyword.: Collects the article URL and the primary keyword from the user.
Extract Headlines from the Article.: Retrieves only the headlines (H1, H2, H3) from the given article URL using an AI-powered agent and URL retriever.
Discover SEO Keyword Clusters.: Finds related and high-performing keywords for the target keyword using Google keyword data.
Rewrite Headlines for SEO.: Uses AI to rewrite the article's headlines to better target the identified keywords, keeping the original article content unchanged.
Output Optimized Headlines.: Displays the updated headlines and the changes made for the user to review and use.

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.

Keyword Cluster Prompt

Prompt template for presenting the primary keyword and related keywords in the same cluster.

                Primary keyword to focus on: {input}
Other Keywords in the same cluster:
{context}

Article Headline Repurposing Prompt

Prompt template instructing the LLM to repurpose article headlines to focus on a new keyword, while keeping paragraphs unchanged.

                You are given an article Headline Structure, and a keyword. try to repurpose the article to focus on the given keyword. generate Title, and change the headlines as needed to focus on keywords in the same cluster. KEEP THE PARAGRAPHS OF THE ARTICLE AS THE SAME AS IT WAS. ONLY CHANGE THE HEADLINES (H1, H2, H3) AND TITLE

Also mention the previous headline and the new headline that you changed.

--- Keywords to repurpose the article---
{input}
---

---ARTICLE---
{context}
---

Extracted Headlines Display Prompt

Prompt template for displaying the extracted article headlines.

                ## The Extracted Headlines:
{context}

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.

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.

See ChatInput

Structured Output Generator

The Structured Output Generator component lets you create precise, structured data from any input prompt using your chosen LLM model. Define the exact data fields and output format you want, ensuring consistent and reliable responses for advanced AI workflows.

See Structured Output Generator

Parse Data

The Parse Data component transforms structured data into plain text using customizable templates. It enables flexible formatting and conversion of data inputs for further use in your workflow, helping to standardize or prepare information for downstream components.

See Parse Data

Google Keywords Finder

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.

See Google Keywords Finder

Prompt Component in FlowHunt

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.

See Prompt Component in FlowHunt

AI Agent

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.

See AI Agent

LLM Anthropic AI

FlowHunt supports dozens of AI models, including Claude models by Anthropic. Learn how to use Claude in your AI tools and chatbots with customizable settings for tailored responses.

See LLM Anthropic AI

Sequential Task

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.

See Sequential Task

Sequential Crew

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.

See Sequential Crew

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.

See Chat Output

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.

See URL Retriever

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.

See Message Widget

Flow description

Purpose and benefits

This workflow automates the process of optimizing article headlines to target new, high-potential keywords. It leverages AI and SEO tools to find the best keywords based on user input, extracts headlines from existing articles, and then rewrites those headlines to improve SEO targeting without altering the article content.

Step-by-Step Process

1. User Input and Onboarding

Welcome Message: When a user opens the chat or interface, they are greeted with a clear instruction:
“Just put in your URL and the keyword which you want to repurpose the blog for and I’ll optimize the headlines to target that keyword.”
Input Collection: The user provides:
- The URL of the article to repurpose.
- The primary keyword to focus on.

2. Structured Data Extraction

The workflow parses the user input, extracting the article URL and the new focusing keyword into a structured format for downstream processing.

3. Keyword Research

Primary Keyword Extraction: The primary focusing keyword is isolated from the structured user input.
Related Keywords Lookup: Using a Google Keywords API, the workflow fetches a cluster of related keywords, as well as data like search volume, CPC, and competition.
Formatting for AI Input: The list of related keywords is formatted into plain text for clear presentation to the AI model.

4. Article Headline Extraction

URL Scraping: An AI agent (configured as a “Headline Extractor”) uses a URL retriever tool to fetch the article’s content.
Headline Parsing: The agent extracts only the headlines (H1, H2, H3) from the article, preserving their structure.

5. AI-Powered Headline Rewriting

Prompt Engineering: The workflow constructs a detailed AI prompt that includes:
- The primary and related keywords.
- The extracted article headlines.
- Clear instructions:
  - Only change the headlines (H1, H2, H3, and Title) as needed to target the new keywords.
  - Do not modify the article’s paragraphs.
  - List the previous and new headlines for transparency.
Expert Copywriter Agent: An AI agent, acting as a professional copywriter, processes the prompt and generates optimized headlines.

6. Sequential Task Execution

The workflow organizes these operations as a sequential task:
- The headline rewriting task is described and assigned to the AI agent.
- Execution and output are managed step-by-step to ensure logical processing and error handling.

7. Output and Presentation

Results Display:
- The new, keyword-optimized headlines (along with their previous versions) are presented to the user.
- The extracted headlines can also be shown separately for user reference.
- All outputs are displayed in an interactive chat interface.

Workflow Structure Summary

Step	Purpose	Tool/Agent Used
User Input	Collect URL and new keyword	Chat Interface
Data Structuring	Parse and structure input	Structured Output Generator
Keyword Research	Find keyword cluster and metrics	Google Keywords API
Headline Extraction	Extract old headlines from article	Headline Extractor AI Agent
Prompt Creation	Build AI prompt with keywords & headlines	Prompt Templates
Headline Rewriting	Rewrite headlines for SEO targeting	Expert Copywriter AI Agent
Output Display	Show optimized headlines to user	Chat Output

Benefits and Use Cases

Scalability: Automates the tedious process of keyword research and headline rewriting, enabling batch optimization across many articles.
SEO Optimization: Ensures that articles are aligned with the latest, high-traffic keywords, improving organic search performance.
Content Repurposing: Allows marketers and writers to quickly pivot existing content to capture new keyword opportunities.
Transparency: Clearly displays old vs. new headlines for editorial review and approval.

Ideal For

Content marketers, SEO specialists, and publishers looking to scale up content optimization.
Agencies managing multiple client blogs or websites.
Anyone aiming to automate and streamline the keyword repurposing workflow for existing articles.

By chaining together AI copywriting, SEO research, and automated extraction, this workflow delivers a robust, repeatable solution for headline optimization that can save hours of manual work and drive better search rankings.

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