120 lines
4.3 KiB
Markdown
120 lines
4.3 KiB
Markdown
# AI Agents Content Planner
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This document describes the `ai_agents_planner` module, a sophisticated tool for creating highly detailed and SEO-optimized content calendars. This module leverages AI agents to perform web research, trend analysis, and content planning, ensuring a comprehensive and efficient approach to content strategy.
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## Prerequisites
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To use this module, ensure the following are installed:
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- Python 3.6 or higher
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- Streamlit
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- Crewai
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- Crewai Tools
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- Langchain Google GenAI
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- Google Gemini API key
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## Installation
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Install the required Python packages using pip:
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```bash
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pip install streamlit crewai crewai_tools langchain_google_genai
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---
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## Environment Setup
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Ensure that you have set up the following environment variables:
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GEMINI_API_KEY: Your Google Gemini API key.
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SEARCH_SAVE_FILE: Path to the file where search results are saved.
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---
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## Module Overview
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The ai_agents_planner module consists of several key functions:
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create_agents(search_keywords, already_written_on)
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This function creates the AI agents required for content research and planning. Each agent is assigned a specific role and set of tools to achieve their goals.
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content_researcher: Conducts web research to identify content opportunities.
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content_planner: Develops a content calendar based on the research.
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google_trends_researcher: Analyzes Google Trends data to suggest relevant keywords and titles.
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content_marketing_manager: Ensures the content calendar is optimized and avoids keyword cannibalization.
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create_tasks(agents, search_keywords, already_written_on)
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This function creates tasks for each agent. Tasks include web analysis, Google Trends analysis, content calendar development, and final review.
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execute_tasks(agents, tasks)
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Executes the tasks assigned to each agent. The results are compiled into a comprehensive content calendar.
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ai_agents_planner(search_keywords)
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The main function that orchestrates the creation of agents, assignment of tasks, and execution of the content planning process. It performs Google Trends analysis and generates the final content calendar.
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---
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## Example Usage
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To use the ai_agents_planner module, follow these steps:
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Set up the environment variables.
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Import the module and call the ai_agents_planner function with your target keywords.
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```
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import os
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from your_module import ai_agents_planner
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# Set up environment variables
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os.environ['GEMINI_API_KEY'] = 'your_google_gemini_api_key'
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os.environ['SEARCH_SAVE_FILE'] = '/path/to/search_save_file.txt'
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# Run the planner
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ai_agents_planner('your_target_keywords')
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```
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---
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## Detailed Agent Roles and Responsibilities
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### Content Researcher: Aisha Sharma
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Role: Senior Web Research Analyst (Content Strategy)
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Goal: Create a detailed content calendar focused on specific keywords.
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Responsibilities:
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Conduct web research and competitor analysis.
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Identify high-value content opportunities.
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Content Planner: Ted XingPi
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Role: Senior Content Strategist & Planner
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Goal: Craft a series of content titles for a 2-month-long series.
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Responsibilities:Develop a content calendar with unique and non-repetitive titles.
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Ensure alignment with SEO best practices.
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### Google Trends Researcher: Sarah Qureshi
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Role: Content Marketing & Google Trends Specialist
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Goal: Analyze Google Trends data and provide keyword recommendations.
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Responsibilities:
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Identify high-volume, low-competition keywords.
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Collaborate on content strategy and planning.
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### Content Marketing Manager: Diksha Yuj
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Role: Content Marketing Manager
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Goal: Optimize the content calendar and ensure no keyword cannibalization.
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Responsibilities:
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Review and finalize the content calendar.
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Ensure all content is unique and SEO-optimized.
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### Final Content Calendar
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The result of the ai_agents_planner module is a highly detailed content calendar that positions your target keywords effectively. The content calendar includes:
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Head Term Keyword
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Long-Tail Keyword
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Blog Post Title
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This structured approach ensures a comprehensive content strategy, optimized for search engines and tailored to your audience.
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### Conclusion
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The ai_agents_planner module provides a robust framework for content planning and strategy. By leveraging AI agents and integrating web research, trend analysis, and content planning, it delivers a detailed and SEO-optimized content calendar that drives organic growth.
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For further information and detailed documentation, refer to the module's code and comments.
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