From cf03ff5f8cde6d5e43eb8a39ca5a3f9710429877 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D9=8A?= Date: Fri, 17 Jan 2025 09:48:55 +0530 Subject: [PATCH] Documentation for AI Backlinging Tool --- lib/ai_marketing_tools/README.md | 116 +++++++++++++++++++++++++++++++ 1 file changed, 116 insertions(+) create mode 100644 lib/ai_marketing_tools/README.md diff --git a/lib/ai_marketing_tools/README.md b/lib/ai_marketing_tools/README.md new file mode 100644 index 00000000..730dba9d --- /dev/null +++ b/lib/ai_marketing_tools/README.md @@ -0,0 +1,116 @@ +```markdown +# 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: + ```bash + pip install -r requirements.txt + ``` + +## Example Usage + +```python +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](CONTRIBUTING.md) first. + +## License + +This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.