Keyword Cluster Prompt
Prompt to present the primary focus keyword and other cluster keywords for context.
Primary keyword to focus on: {input}
Other Keywords in the same cluster:
{context}
SEO Article Headline Optimizer
Automatically optimize your article’s headlines and title for a specific keyword or keyword cluster to improve SEO performance. This workflow analyzes your article, gathers related keywords, extracts existing headlines, and uses AI to rewrite and enhance them for better ranking potential.
How the AI Flow works
Receive Article URL and Target Keyword
Collect the article URL and the desired keyword from the user.Fetch and Analyze Related Keywords
Retrieve keyword cluster and related search terms for the target keyword using Google data.Extract and Analyze Article Headlines
Scrape the article to extract existing H1, H2, and H3 headlines.Rewrite Headlines for SEO
Use AI to rewrite the article's title and headlines to better target the selected keyword cluster while keeping the article's content intact.Display Optimized Headlines
Present the improved headlines and title to the user for review.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.
Headline Repurposing Instruction
Prompt instructing the LLM to rewrite article headlines and title to target given keywords, keeping paragraphs unchanged, and to show before/after headlines.
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 Presentation
Prompt to present the extracted headlines in a formatted manner.
## 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.
Flow description
Purpose and benefits
Workflow Description: Keyword Repurposing for Article Headlines
Overview
This workflow automates the process of optimizing blog/article titles and headings (H1, H2, H3) to focus on a specific target keyword or keyword cluster. By leveraging AI agents, keyword research tools, and content extraction utilities, it helps content creators and SEO professionals update existing articles to better align with desired search terms—improving their relevancy and ranking potential.
Step-by-Step Process
1. Onboarding and User Input
Welcome and Instructions: When the workflow is initiated, the user is greeted with a welcome message that explains the tool’s purpose and instructs them to provide:
- The URL of the article they want to optimize.
- The primary keyword to focus on.
User Input: The user submits the article URL and chosen keyword.
2. Extracting and Structuring Input Data
- Structured Output Generation: The workflow parses the user input, organizing it into structured data:
article_url: The URL of the blog/article.focusing_keyword: The target keyword.
3. Keyword Research and Expansion
- Keyword Extraction:
- The focusing keyword is passed to a Google Keyword research tool to fetch related keywords (from the same cluster), along with useful SEO metrics.
- Formatting: These related keywords are formatted for seamless input into subsequent AI prompts.
4. Article Headline Extraction
- URL Content Retrieval:
- The system uses a content retriever to fetch and parse the article from the provided URL.
- Headline Extraction Agent:
- An AI agent, specialized in identifying heading structures (H1, H2, H3) within an article, extracts all relevant headlines.
5. Repurposing Headlines for SEO
Prompt Construction:
- The workflow builds a detailed prompt for an expert copywriter agent, including:
- The original extracted headlines.
- The target keyword and its cluster.
- Explicit instructions to only alter the title and headlines, not the article body.
- A requirement to list both the previous and new versions of any changed headlines.
- The workflow builds a detailed prompt for an expert copywriter agent, including:
AI-Driven Optimization:
- Using Anthropic Claude 3.5 Sonnet (or similar), the copywriter agent generates optimized versions of the title and headings, focusing on the keyword cluster.
6. Execution and Output
- Sequential Task Handling:
- All steps are orchestrated in a sequential “crew” to ensure each part runs in order and dependencies are respected.
- Result Presentation:
- The workflow outputs the optimized headlines, showing before-and-after versions for transparency, and displays the results to the user for review.
Summary Table
| Step | Input(s) | Process | Output(s) |
|---|---|---|---|
| Welcome/User Input | None | Greet user, collect URL & keyword | User input |
| Structuring Input | User input | Structure as article_url & keyword | Structured data |
| Keyword Research | Keyword | Fetch related keywords via Google tool | Keyword cluster |
| Headline Extraction | URL | Retrieve and parse article headings | Extracted headlines |
| Repurposing | Headlines, keywords | AI rewrites headlines for SEO | Optimized headlines |
| Output | Optimized data | Present before/after results | Final output to user |
Why This Workflow Is Useful
- Scalability: Automates a traditionally manual process, enabling quick optimization of many articles.
- Consistency: Uses AI to apply standardized, best-practice SEO principles to all headlines.
- Transparency: Shows the original and revised headlines, making editorial review easy.
- SEO Impact: By focusing on keyword clusters, not just single terms, the workflow can help articles capture a broader range of relevant search traffic.
- Time Efficiency: Reduces the time and expertise required to update content for new keyword strategies.
Ideal Use Cases
- Bulk updating legacy content for new SEO goals.
- Agencies or publishers managing large content portfolios.
- Rapid A/B testing of headline strategies.
- Non-technical content teams who want to leverage AI for SEO optimization.
This workflow provides a robust, automated pipeline for repurposing article headlines for keyword optimization, making it a powerful tool for scaling content updates and improving organic search performance.
Let us build your own AI Team
We help companies like yours to develop smart chatbots, MCP Servers, AI tools or other types of AI automation to replace human in repetitive tasks in your organization.
Learn more
