feat: implement personalized email composition for outreach based on website data and user proposals

lib/ai_marketing_tools/ai_backlinking.py

@@ -216,6 +216,41 @@ def find_backlink_opportunities(keyword):
                 results.append(detailed_result)
     return results
 
+def compose_personalized_email(website_data, insights, user_proposal):
+    """
+    Compose a personalized outreach email based on website data, insights, and user proposal.
+
+    Args:
+        website_data (dict): The data of the website including metadata and contact info.
+        insights (str): Insights generated by the LLM about the website.
+        user_proposal (str): The user's proposal for a guest post or content contribution.
+
+    Returns:
+        str: A personalized email message.
+    """
+    contact_name = website_data.get("contact_info", {}).get("name", "Webmaster")
+    site_name = website_data.get("metadata", {}).get("title", "your site")
+    proposed_topic = user_proposal.get("topic", "a guest post")
+
+    email_body = f"""
+    Hi {contact_name},
+
+    I hope this message finds you well. I recently came across {site_name} and was impressed by the high-quality content you provide on {website_data.get("metadata", {}).get("keywords", "various topics")}. 
+
+    Based on the insights I gathered, I believe there is a great opportunity for collaboration. I would love to contribute {proposed_topic} that aligns with your site's focus and audience.
+
+    Here are some insights and guidelines I gathered:
+    {insights}
+
+    Please let me know if you are interested in discussing this further. I am excited about the possibility of working together and contributing to your site.
+
+    Best regards,
+    [Your Name]
+    [Your Contact Information]
+    """
+
+    return email_body
+
 
 
 def search_for_urls(query):