RankedGPT

⁠## Inspiration

RankedGPT was inspired by how often AI answers influence consumer choices, while local businesses lack visibility into where they appear and why.

## What it does

It generates realistic search queries, checks top results from a RAG/Chroma index, scores visibility with an Elo-style model, highlights competitors, and can create SEO-ready blog posts to improve rankings.

## How we built it

We built a FastAPI backend with Chroma for retrieval, OpenAI for question generation and blog writing, and a lightweight frontend to run analyses, track progress, and review results.

## Challenges we ran into

Long-running analytics needed background jobs and progress reporting. We also had to normalize noisy business data, filter non-business sources, and keep results reproducible.

## Accomplishments that we're proud of

End-to-end analytics that feel instant, competitor visibility scoring, and one-click SEO blog generation with reindex/reset for iteration.

## What we learned

Data quality makes or breaks ranking insights, and small UI details (progress, caching, clear comparisons) are critical for trust.

## What's next for RankedGPT

Persistent job history, richer competitor insights, multi-location tracking, and tighter integrations with real LLM search results.