Building a Marketing Intelligence Pipeline with Claude Code for Better AI Ad Conversions
EXM7777 · x · 2026-08-01
The author points out that many brands focus solely on visual realism when creating AI ads, neglecting the polish of hooks, scripts, and CTAs, which ultimately hurts conversion rates.
To solve this, the author shares an automated workflow using Claude Code to boost conversions:
- Set up a research agent: Continuously listen to competitor and target audience dynamics.
- Scrape winning ads: Crawl high-converting competitor ads end-to-end, focusing on comment sections and audience reposts.
- Extract key elements: Isolate successful hooks, scripts, CTAs, and authentic customer language.
- Build a knowledge base: Store these insights in an Obsidian vault.
Instead of starting from a blank prompt, new AI ads are drafted based on real-time market data and the exact words customers are currently using.
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