LLM Visibility Studio

Groundbreaking platform redefining how businesses grow online presence in the AI age. Traditional SEO is fading—AI SEO is here.

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💡 Inspiration

We built LLM Visibility Studio on the last day of the competition deadline—not because we procrastinated, but because inspiration struck hard and fast. In under 24 hours, using just one powerful Bolt.new prompt. The One-Shot Prompt Challenge was designed to showcase what’s possible with clarity of thought + the right dev tool—and that’s exactly what we did.

This wasn’t just a prompt—it was a paradigm shift, delivered in one shot. And we believe that’s exactly what this challenge is all about. With the rise of AI assistants like ChatGPT and Claude, more people are turning to LLMs for answers—bypassing Google entirely. But there was no clear tool helping businesses optimize their visibility in AI-generated responses. That’s when we realized: SEO is no longer just for search engines. It’s time for AI SEO. That spark became LLM Visibility Studio—a tool that helps businesses get discovered, cited, and trusted by AI.

🔍 What it does

LLM Visibility Studio helps businesses:

  • Analyze their content for AI-friendliness across GPT, Claude, and Gemini
  • Generate optimized blog posts and product/service pages
  • Deploy them as structured, public pages with schema + Open Graph
  • Craft prompts to help users surface content inside AI tools
  • Track visibility with real-time analytics and LLM performance scoring

In short: it’s the first end-to-end AI SEO platform—from idea to visibility.

🛠 How I built it

We built the app using:

  • Bolt.new to rapidly scaffold and iterate UI/UX
  • React + TypeScript for the frontend
  • Tailwind CSS + shadcn/ui for a responsive, beautiful interface
  • OpenAI GPT-4 API for AI scoring, rewriting, and content generation
  • Supabase for auth, database, and real-time tracking
  • Framer Motion + Lucide Icons for smooth UI polish
  • Recharts for analytics visualization
  • Deployed via Netlify on the custom domain aigeo.me

🧗 Challenges I ran into

  • Designing multi-model scoring logic for GPT, Claude, and Gemini
  • Structuring schema-rich, LLM-friendly Markdown
  • Making prompt generation intuitive for non-technical marketers
  • Ensuring everything worked beautifully on mobile-first viewports
  • Streamlining real-time deployment pipelines for content previews

Each challenge forced us to rethink traditional SEO UX in the context of LLM behavior.

🏆 Accomplishments that I'm proud of

  • Built a production-grade AI SEO platform in under a week
  • Created a new category: content optimization for AI
  • Delivered a professional UI/UX that works flawlessly on mobile
  • Scored 90+ Lighthouse scores across all dimensions
  • Launched on a custom domain with continuous deployment
  • Received feedback from marketers who called it a “game-changer”

📚 What I learned

  • How RAG models and LLMs retrieve & cite structured web content
  • Why traditional SEO tactics often fail with AI tools
  • That “prompt engineering for discovery” is the new backlink strategy
  • The importance of building tools that feel empowering, not overwhelming
  • That great UX = great adoption—especially for non-technical users

🚀 What’s next for LLM Visibility Studio

  • ✨ Add Claude + Gemini scoring modes via actual API integrations
  • ✨ Build a browser extension for on-the-fly content scoring
  • ✨ Launch a “LLM Leaderboard” showing which businesses rank best in AI tools
  • ✨ Create a Prompt Pack marketplace with shareable templates
  • ✨ Partner with agencies to offer white-labeled versions of the platform
  • ✨ Add team collaboration tools and AI audit history

Built With

  • beautiful-interface-*-**openai-gpt-4-api**-for-ai-scoring
  • bolt.new**-to-rapidly-scaffold-and-iterate-ui/ux-*-**react-+-typescript**-for-the-frontend-*-**tailwind-css-+-shadcn/ui**-for-a-responsive
  • rewriting
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