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