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feat: implement AI LLM for composing personalized outreach emails based on insights and website data

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ajaysi (aider)
2024-09-17 12:12:08 +05:30
parent 3ce8e8d70a
commit ada8b37251
1 changed files with 13 additions and 14 deletions
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27
lib/ai_marketing_tools/ai_backlinking.py
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@@ -218,7 +218,7 @@ def find_backlink_opportunities(keyword):
def compose_personalized_email(website_data, insights, user_proposal):
"""
Compose a personalized outreach email based on website data, insights, and user proposal.
Compose a personalized outreach email using AI LLM based on website data, insights, and user proposal.
Args:
website_data (dict): The data of the website including metadata and contact info.
@@ -232,23 +232,22 @@ def compose_personalized_email(website_data, insights, user_proposal):
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},
# Construct a prompt for the LLM to generate a personalized email
prompt = f"""
You are an AI assistant tasked with composing a personalized outreach email.
Use the following details to craft a compelling message:
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")}.
Contact Name: {contact_name}
Website Name: {site_name}
Proposed Topic: {proposed_topic}
Insights: {insights}
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]
The email should be professional, engaging, and tailored to the recipient's interests and the website's focus.
"""
# Generate the email using the LLM
email_body = llm_text_gen(prompt)
return email_body