ALwrity/lib/ai_marketing_tools

# AI Backlinking Tool

## Overview

The `ai_backlinking.py` module, part of the [AI-Writer](https://github.com/AJaySi/AI-Writer) project, automates the process of finding and securing backlink opportunities. This AI-powered tool performs web research, scrapes websites, extracts contact information, and sends personalized outreach emails to webmasters for guest posting opportunities.

## Key Features

- **Automated Web Scraping**: Scrape websites for guest post opportunities using predefined search queries based on user input. Extract key information like email addresses, names, and submission guidelines.
- **Personalized Email Writing**: Leverage AI to create personalized emails using the scraped website information, tailored to the tone, content style, and focus of the website.
- **Email Sending Automation**: Integrate with email platforms (e.g., Gmail, SendGrid) to send automated outreach emails with optional human-in-the-loop (HITL) review.
- **Lead Tracking and Management**: Track all emails sent, monitor replies, and keep track of successful backlinks. Log each lead’s status (e.g., emailed, responded, no reply) to manage future interactions.
- **Multiple Keywords/Queries**: Run the same process for a batch of keywords, automatically generating relevant search queries for each.
- **AI-Driven Follow-Up**: Schedule follow-up emails if there is no response after a specified period.
- **Reports and Analytics**: Provide users with reports on email performance metrics such as sent, opened, replied, and successful backlink placements.

## Core Workflow

1. **User Input**:
   - **Keyword Search**: The user inputs a keyword (e.g., "AI writers").
   - **Search Queries**: The app appends various search strings to this keyword to find backlinking opportunities (e.g., "AI writers + 'Write for Us'").

2. **Web Research**:
   - Use search engines or web scraping to run multiple queries.
   - Collect URLs of websites that have pages or posts related to guest post opportunities.

3. **Scrape Website Data**:
   - **Contact Information Extraction**: Scrape the website for contact details (email addresses, contact forms, etc.).
   - **Website Content Understanding**: Scrape a summary of each website’s content to personalize the email based on the site's focus.

4. **Personalized Outreach**:
   - **AI Email Composition**: Compose personalized outreach emails based on the scraped data and user input.
   - **Automated Email Sending**: Let users review and approve the personalized emails before they are sent, or allow full automation.

5. **Scaling the Search**:
   - Repeat the same scraping and outreach process for a list of relevant keywords.
   - Maintain a log of all sent emails, responses, and follow-up reminders.

6. **Tracking Responses and Follow-ups**:
   - **Automated Responses**: Respond to positive replies with predefined follow-up emails.
   - **Follow-up Reminders**: Send polite follow-up reminders at pre-set intervals if there is no reply.

## Prerequisites

- Python 3.6 or higher
- Required Python packages: `googlesearch-python`, `loguru`, `smtplib`, `email`

## Installation

1. Clone the repository:
   ```bash
   git clone https://github.com/AJaySi/AI-Writer.git
   cd AI-Writer

2. Install the required Python packages:

   pip install -r requirements.txt
   

Example Usage

import os
from lib.ai_marketing_tools.ai_backlinking import main_backlinking_workflow

# SMTP and IMAP configurations
smtp_config = {
    'server': 'smtp.gmail.com',
    'port': 587,
    'user': 'your_email@gmail.com',
    'password': 'your_password'
}

imap_config = {
    'server': 'imap.gmail.com',
    'user': 'your_email@gmail.com',
    'password': 'your_password'
}

# User proposal for guest posts
user_proposal = {
    'user_name': 'Your Name',
    'user_email': 'your_email@gmail.com',
    'topic': 'Proposed guest post topic'
}

# Keywords for backlink opportunities
keywords = ['AI writers', 'content marketing', 'SEO tips']

# Run the main workflow
main_backlinking_workflow(keywords, smtp_config, imap_config, user_proposal)

Functions

• generate_search_queries(keyword): Generate a list of search queries for finding guest post opportunities.
• find_backlink_opportunities(keyword): Find backlink opportunities by scraping websites based on search queries.
• compose_personalized_email(website_data, insights, user_proposal): Compose a personalized outreach email using AI LLM based on website data, insights, and user proposal.
• send_email(smtp_server, smtp_port, smtp_user, smtp_password, to_email, subject, body): Send an email using an SMTP server.
• search_for_urls(query): Search for URLs based on a query using Firecrawl.
• extract_contact_info(website_data): Extract contact information from website data.
• find_backlink_opportunities_for_keywords(keywords): Find backlink opportunities for multiple keywords.
• log_sent_email(keyword, email_info): Log the information of a sent email.
• check_email_responses(imap_server, imap_user, imap_password): Check email responses using an IMAP server.
• send_follow_up_email(smtp_server, smtp_port, smtp_user, smtp_password, to_email, subject, body): Send a follow-up email using an SMTP server.
• main_backlinking_workflow(keywords, smtp_config, imap_config, user_proposal): Main workflow for the AI-powered backlinking feature.

Contributing

Contributions are welcome! Please read the contributing guidelines first.

License

This project is licensed under the MIT License. See the LICENSE file for details.