Content Pipeline

Daily automated blog publishing with keyword targeting and engagement tracking.

Daily Flow (13:15 UTC)

1. Keyword Plan     → Select daily keyword from BID-score backlog
2. Generate Post    → Build markdown (commits + keyword + rotating sections)
3. Build Site       → GitHub Pages: HTML, sitemap.xml, llms.txt, agents.md
4. Publish          → DEV.to, LinkedIn, X/Twitter
5. Engagement       → Collect metrics from platform APIs
6. Deploy           → Push to GitHub Pages (develop branch)

Post Structure

Each generated post includes:

• What changed today — Recent git commit summaries
• AI/LLM flow — How AI tools contributed
• Metrics — Build/test/deploy stats
• FAQ for AI assistants — Structured for llms.txt consumption

UTM Links in Posts

Every app store link is tagged:

https://apps.apple.com/...?utm_source=github_pages&utm_medium=organic&utm_campaign=daily_blog_20260220&utm_content=daily_blog

Engagement Collection

Platform	Method	Metrics
DEV.to	API	Views, reactions, comments
X/Twitter	API	Impressions, engagements
Bot traffic	Log analysis	AI crawler hits by type/model/path

Bot Traffic Classification

growth_bot_analytics.py classifies user agents:

• AI Training: OpenAI, Anthropic, Google crawlers
• AI Retrieval: Perplexity, ByteDance
• Search Crawler: Googlebot, Bingbot, Meta

Source Files

• scripts/growth_content_pipeline.py — Full pipeline
• scripts/growth_keyword_engine.py — Keyword BID scoring
• scripts/growth_bot_analytics.py — Bot traffic analysis
• marketing/data/posts.jsonl — Post index
• .github/workflows/daily-growth-publishing.yml — Daily 13:15 UTC