Marketing_Automations_Notebooks_With_GPT

# Marketing Automation Notebook: SEO Content Optimization for GreenTech Solutions

## Overview
This notebook automates the process of optimizing blog content for SEO using generative AI. It includes data preprocessing, keyword analysis, and content generation.

## Data Processing
```python
# Load necessary libraries
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer

# Load dataset
data = pd.read_csv('blog_posts.csv')
```

## Keyword Analysis
```python
# Initialize TF-IDF Vectorizer
vectorizer = TfidfVectorizer(stop_words='english')
X = vectorizer.fit_transform(data['content'])

# Display top keywords
print(vectorizer.get_feature_names_out())
```

## Content Generation
```python
# Generate new content based on top keywords
def generate_content(keywords):
    # Use generative AI model to create content
    return f"New blog post about {keywords[0]} and {keywords[1]}"

# Example usage
new_content = generate_content(['sustainability', 'innovation'])
print(new_content)
```

## Interpretation
The notebook provides a structured approach to optimizing blog content for SEO. By analyzing existing content and generating new ideas, marketers can enhance their SEO strategies effectively.