AI-powered marketing ops and growth automation, running locally through Cursor.
This project turns Cursor into a marketing co-pilot that can research competitors, generate campaign copy, analyze funnel data, enrich leads, audit SEO, and automate the repetitive work that eats up your week. The magic is in the .cursor/rules folder — these rules give Cursor deep marketing domain knowledge so it can execute complex, multi-step growth tasks on your behalf.
This project is designed to run on macOS.
- Download Cursor and install it
- Download this project and unzip it
- Open the project in Cursor
- Run the
/setup-maccommand to install the dependencies
Content & Copy
- Draft blog posts, email sequences, ad copy, and social media posts
- Generate copy variants for A/B testing
- Repurpose content across channels (blog → Twitter thread → LinkedIn post → newsletter)
SEO
- Audit a page or site for technical SEO issues (meta tags, headings, structured data)
- Research keywords and estimate search volume via APIs
- Analyze competitor content and backlink profiles
- Generate SEO-optimized content briefs
Lead Generation & Enrichment
- Scrape and structure prospect lists from the web
- Enrich contact/company data (firmographics, tech stack, social profiles)
- Score and segment leads based on custom criteria
- Clean and deduplicate CRM exports
Analytics & Reporting
- Analyze campaign performance data from CSV exports
- Build funnel conversion reports
- Calculate CAC, LTV, ROAS, and other growth metrics
- Generate PDF or Markdown reports with charts
Email Marketing
- Generate email templates and drip campaign sequences
- Analyze open/click/conversion data
- Segment subscriber lists
- Check email deliverability and spam score indicators
Competitive Intelligence
- Monitor competitor websites for changes
- Build feature comparison matrices
- Analyze competitor pricing and positioning
- Track competitor social and content strategy
Ad Operations
- Generate ad copy variations for Google/Meta/LinkedIn
- Analyze ad spend and ROAS from exported data
- Recommend budget allocation across channels
Growth Modeling
- Build retention cohort analyses
- Model growth scenarios and forecasts
- Analyze A/B test results for statistical significance
- Map and optimize conversion funnels
Here are some things you can ask Cursor to do:
"Take this list of 500 leads in data/leads.csv and enrich them with company size,
industry, and LinkedIn profile URLs"
"Audit example.com for SEO issues and give me a prioritized list of fixes"
"Generate 10 subject line variants for our product launch email, optimized for open rate"
"Analyze data/ad_spend.csv and tell me which channels have the best ROAS"
"Build a 5-email onboarding drip sequence for our SaaS product"
"Research our top 5 competitors and build a feature comparison matrix"
"Take data/signups.csv and build a weekly retention cohort analysis"
"Generate a blog post outline targeting the keyword 'best CRM for startups'"