I made an LLM visibility tool
Source: Dev.to
Overview
LLM Eagle is an AI visibility optimization tool for SaaS, built for developers and indie hackers.
Motivation
I took on this project not just because the GEO (Generative Engine Optimization) industry is booming, VCs are funding similar startups, the idea is validated, and product‑market fit is proven, but also because I am genuinely excited about this under‑explored opportunity.
Tech Stack
- React with Remix / React Router V7
- TypeScript
- Tailwind with DaisyUI (discovered DaisyUI and fell in love)
- PostgreSQL with Neon
MVP Journey
It started with a simple plan: a rudimentary, minimally viable program that provided a basic GEO report once you entered your domain. As is often the case with MVPs, I kept building and fell into the “feature creep” trap—continuously iterating without feedback, stuck in an endless cycle of building and repeating. This time, however, I didn’t regret the cycle as much as I usually would, because the extra work resulted in a more complete product that is actually useful. Since the idea was already validated, I was comfortable putting more effort into the MVP before hitting the market.
Features
Overview
- Visibility and sentiment of your website
Prompts
- What prompts are being asked by your target audience
Content
- Recommended article titles to maximize reach (you can generate articles as well)
Competitors
- Top performers in your industry and their strengths
I am iterating on this structure as I get feedback.
Current Work
I’m still trying to figure out what works. I am currently finding my niche and dialing in my outreach methods by experimenting across X and LinkedIn.
Contact
If you are checking the product out, please comment here or message me at scorder96@gmail.com with feedback. I’d really appreciate it!
Product Link: https://llmeagle.com