Dealership marketing teams watch competitors by scrolling feeds, which doesn't scale and isn't systematic. AdINNtelligence automates the whole loop for automotive teams across 40+ brands.
- Collect. Pull verified competitor ads from the Meta Ad Library over a rolling 24-hour window.
- Classify. Use LLMs to extract models, offers and creative patterns.
- Recommend. Turn those patterns into three evidence-backed recommendations for the dealer's next campaign.
Stack: FastAPI, React, Groq, Supabase and Redis, deployed on Vercel and Railway.