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SETTING THE NEW STANDARD FOR AI CONTENT VISIBILITY WITH
Bobcats Coding partnered with Humanity Innovation Labs™ to develop our client Blackmagic's vision and create a groundbreaking MVP that evaluates websites primarily for AI visibility rather than traditional search engines.
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Through our 6-week Rapid MVP Program, we created the first tool to analyze web content for its likelihood of being referenced in responses from ChatGPT, Perplexity, and other large language models, addressing a critical blind spot in the emerging field of LLM Optimization.
ABOUT BLACKMAGIC
Blackmagic represents a paradigm shift in content optimization strategy. As more users turn to AI assistants for information discovery, traditional SEO approaches fall short. The challenge is clear: websites optimized for Google aren't necessarily optimized for AI citations and references. Blackmagic bridges this gap by providing the first comprehensive analysis of how AI systems "read" and reference digital content.
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The platform addresses a fundamental question that's reshaping digital strategy: How do you ensure your content appears in AI-generated responses? With 68% of search queries now influenced by LLMs, this isn't just a technical curiosity, it's a business imperative. Blackmagic transforms this uncertainty into actionable intelligence, offering businesses their first glimpse into the new frontier of AI-driven content discovery.
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OUR ROLE IN RAPID INNOVATION
This project exemplified our commitment to rapid, research-driven development through our specialized
Rapid MVP Program. Collaborating with Humanity Innovation Labs™, we demonstrated how cutting-edge product concepts can move from hypothesis to functional prototype in just 6 weeks.
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From the outset, our mission was ambitious yet focused: create a tool that could evaluate and score websites specifically for LLM compatibility. The project demanded expertise across multiple emerging technologies:
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Generative Research: Understanding real-world AI adoption challenges through user interviews
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UX/UI Design: Translating complex AI concepts into an intuitive, actionable interface
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No-Code/Low-Code Development: Leveraging platforms like Lovable to rapidly prototype and iterate
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AI Integration: Building sophisticated engines that evaluate content through an AI lens
FROM RESEARCH TO REVOLUTIONARY TOOL
The development journey began with critical insights from user research conducted by Humanity Innovation Labs' researchers. In our initial discovery interviews with marketing and content professionals, we identified key challenges related to current content strategies, AI/LLM adoption, and integration, highlighting clear opportunities to improve AI-driven content workflows:
01
PROMPT PARALYSIS
Users struggle to navigate AI tools and create effective prompts
02
PLATFORM SEGMENTATION
Overwhelmed by juggling multiple disconnected platforms
03
TRUST
DEFICIT
Lack of confidence in the accuracy of AI-generated content
04
KNOWLEDGE GAP
Need structure and education on AI and LLM capabilities
FROM BRAND VISION TO INSIGHT-DRIVEN DESIGN
The design process had two critical aspects: building Blackmagic's brand identity from scratch and creating an interface that could communicate sophisticated AI analysis in terms any marketer could understand and act upon.​
Given our tight timeline and the AI-driven nature of the project, we started with Looka's AI-powered brand generation to accelerate the brand identity process, though we quickly realized human designers were needed to fully capture our client's vision.
The name "Blackmagic" became our guiding principle, embodying the alchemical nature of LLM optimization. Like ancient alchemists who sought to transmute base metals into gold, Blackmagic transforms hidden digital content into AI-visible treasure. Our Lead Designer embraced this alchemical aesthetic, creating a brand identity that feels both sophisticated and mysterious, perfectly mirroring an industry where complex processes yield seemingly magical results.
Insight-Driven Interface Design
​Informed by user feedback, Humanity Innovation Labs™ designed a clean, intuitive user experience that delivers instant LLM insights. Users can input a URL, explore AI-powered feedback, chat for deeper guidance, and schedule expert support.
Key design principles included
01
INSTANT INSIGHTS
Users input a URL and receive immediate, comprehensive AI visibility analysis
02
ACTIONABLE INTELLIGENCE
Every metric comes with specific recommendations for improvement
03
CONFIDENCE BUILDING
Clear scoring systems and explanations to build trust in AI-generated insights
04
SCALABLE FOUNDATION
Architecture designed to evolve with the rapidly advancing AI landscape
The final interface features the Blackmagic Score: a comprehensive metric based on 13 dimensions of LLM compatibility alongside keyword optimization insights, brand visibility metrics, and topic coverage analysis. The design prioritized clarity and scalability, laying the groundwork for future growth before handing off to Bobcats Coding for development.​​
USING AI TO BUILD AI
Here's where the story gets truly revolutionary: The Blackmagic app was essentially written by AI, with our senior engineer simply conversing with it to vibe-code the entire application.
We barely wrote a single line of traditional code.
The entire platform was created through natural language conversations with AI in a chat interface.
Why We Chose Lovable Over the Competition
We exclusively used Lovable for development, and the choice was strategic. While many AI coding tools emerged (v0, Bolt, etc.), most try to be general-purpose solutions for everything. Lovable takes a radically different approach: it's hyper-focused on supporting just one technology stack extremely well.
This laser focus is Lovable's superpower. Rather than spreading thin across multiple platforms, they've optimized everything for one specific stack. It covers about 70-80% of web development use cases, but for what it does support, it's dramatically superior to competitors because it's built specifically for that purpose.
The Technology Stack That Made Magic Possible
Lovable runs on React frontend with Tailwind CSS, but the backend leverage is where it gets interesting. It uses Supabase, an open-source database platform that's more than just a database. Supabase allows you to write backend processes and background tasks directly within the platform, and it comes with extensive integrations already built-in.
Lightning-Fast Validation and Development
Our development timeline was unprecedented:
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1.5 days: Testing Lovable's feasibility for our specific requirements
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3 days: Completing the core functionality through AI conversations
The biggest challenge wasn't technical.
It was learning how to communicate effectively with AI to avoid code degradation. Once we mastered the conversational development approach, progress was exponential.
Beyond Basic Functionality
For content scraping capabilities that Lovable couldn't handle natively, we integrated a Scraper API on the backend side. This seamless integration solved our data ingestion needs elegantly and simply, proving that even specialized tools can be extended when necessary.
MVP KEY FEATURES
Our rapid development approach and our initial discovery interviews ​​delivered a sophisticated analysis engine with enterprise-level capabilities:
Advanced Content Analysis
Sophisticated algorithms that evaluate content structure, semantic density, and AI comprehension factors
Real-Time Scoring
Instant evaluation across 13 critical dimensions of LLM optimization
AI Chat
Assistant
Integrated guidance system for personalized optimization recommendations
Blackmagic Scheduler
You can schedule a call with Blackmagic to improve your score through expert content
optimization and a tailored implementation strategy.
FROM MVP TO MARKET REALITY
Our 6-week MVP Program transformed a theoretical concept into a functional, user-tested prototype that validates the emerging field of LLM Optimization. The rapid development cycle demonstrated that innovative ideas don't require massive investments to prove their value. They require the right methodology, tools, and expertise. Here's how our 6-week program typically works:
WEEK 1
Advanced Content Analysis
Align on product goals, identify core hypotheses, sketch initial solutions, and define MVP scope.
WEEK 2-3
Real-Time
Scoring
Gather real user insights and turn them into high-fidelity mockups focused on usability, clarity, and feasibility.
WEEK 4-6
AI Chat
Assistant
Build a functional MVP with core features, test with users, gather feedback, and prep for
launch.
SUPPORT
+ AI OPTIMIZATION
Scalable Infrastructure
Includes one month of support to gather insights, improve performance, and explore AI-enhancement opportunities.
"MVPs aren't just prototypes, they're strategic tools. Build smarter. Learn faster. De-risk innovation in the AI age with professionals who keep pace with the latest AI developments and tools"
– and we completely agree with our client, Aquiles La Grave, Founder of Blackmagic.
Blackmagic stands as proof that the future of content optimization is here, and it's powered by understanding how AI systems interpret and reference digital content. Through our Rapid MVP Program, we've not only built a tool, we've pioneered a new category of digital strategy essential for businesses navigating the AI-driven future.