LLM Eagle is an AI visibility optimization tool for SaaS, built for developers and indie hackers.
Why This Problem
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
- Product-market fit is proven
But it's also because I am genuinely excited for this under-explored opportunity.
The Tech Stack
I used:
- React with Remix/React Router V7
- TypeScript
- Tailwind with DaisyUI (I discovered DaisyUI and fell in love)
- PostgreSQL with Neon
From Simple to Unavoidably Complete
It started with a simple plan: a rudimentary, minimally viable program that provided a basic GEO report once you entered your domain.
Nothing too shiny, just something that works.
However, as is often the case with MVPs, I kept building.
I fell into the "feature creep" trap - continuously iterating without feedback, stuck in an endless cycle of building and repeating.
Multiple buronouts, sleepless nights, headaches, mindlessly coding and adding features.
This time however, I didn't regret the cycle as much as I usually would. Because that extra work resulted in a more complete product that is actually useful. Since I knew the idea was already validated, I was comfortable putting more effort into the MVP before hitting the market.
The Product
So what features did I actually build?
You can add multiple websites to optimize them for GEO.
There are 4 main sections:
- 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 strength
I am iterating on this structure as I get feedback.
The Marketing
Iām 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.
If you are checking the product out, do comment here or message me at scorder96@gmail.com with feedback. I'd really appreciate it!
Product Link: llmeagle.com
Thank you for reading.
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