The Patch x WinTraffic.ai: 0 to 25 Leads/Month by Owning Skills-Based Hiring in AI

A Goldman Sachs VP, a League of Legends Master, and the recruitment problem nobody talks about

Most startup origin stories start in a garage or a dorm room. The Patch started with a realization at Goldman Sachs.

Marc Lesage-Moretti, known online as Jokariz, spent years on a trajectory that looked perfect from the outside. Franklin (Saint-Louis de Gonzague), ESCP Business School, then Vice President at Goldman Sachs. The kind of resume that opens every door before you even knock.

During those years in finance, he watched hiring committees filter candidates by school name before reading a single line of their application. Talented people were invisible because their diploma didn't match a checklist. The system didn't reward ability. It rewarded access. Access to the right schools, the right networks, the right zip codes.

That frustration grew until he left Goldman Sachs. After banking, Jokariz built a second career as a content creator and climbed to Master rank on League of Legends. In competitive gaming, he discovered a world that operated on the exact opposite principle: nobody cares where you went to school. Your ELO rating tells the truth, and nothing else matters. A 16-year-old with no credentials can outperform everyone if the skill is there.

The contrast between those two worlds became the foundation of The Patch. Jokariz is also an ambassador for the Break Poverty Foundation, which deepened his conviction that recruitment should measure what people can do, not where they come from.

He teamed up with Anthony Munoz Cifuentes, a technical co-founder with a background from Dauphine and ESLSCA, to build what the recruitment industry was missing: a scoring system for human potential that works like a competitive ranking.

Marc and Anthony share a simple conviction with The Patch. If gaming can rank millions of players on skill alone, hiring can do the same.

What The Patch actually does

The Patch replaces the traditional resume-and-interview loop with an AI-driven evaluation process. Candidates go through simulated interviews and skill assessments powered by AI. The system scores them on actual competencies, not credentials, and produces a ranking similar to a gaming ELO. Employers see a candidate's verified skill profile, not a list of school names and previous job titles.

For candidates, it means a fair shot regardless of background. For employers, it means better hires. When you evaluate people on what they can do instead of where they studied, the talent pool expands dramatically and the quality of matches goes up.

The product sits at the intersection of three trends reshaping HR: the decline of degree requirements in hiring, the rise of AI-assisted recruitment, and the growing demand for skills-based talent assessment. Companies like Google, Apple, and IBM have already dropped degree requirements for many roles. The Patch gives them the infrastructure to actually evaluate candidates without that filter.

The visibility problem: building a category that doesn't exist yet

The Patch didn't have a traffic problem in the traditional sense. It had a category problem.

When someone searches "best ATS software" or "recruitment platform comparison," there are hundreds of pages competing for those queries. But when someone asks an AI engine "how to hire based on skills instead of diplomas" or "is there an ELO ranking for job candidates," there was almost nothing. The concept existed in conversations. It existed in think pieces about the future of work. But it didn't exist as a searchable, citable product category.

This is a fundamentally different challenge than what most startups face. FrameLab needed to become visible in an existing category. The Patch needed to create the category itself, then own it before anyone else showed up.

Traditional SEO was not going to solve this. You can't rank for keywords that people aren't searching for yet. And you can't buy ads for a product category that doesn't have a name. The Patch needed to build the entire information layer around skills-based hiring and AI-driven recruitment scoring so that when people started asking these questions, whether on Google or through AI engines, every answer pointed back to them.

How WinTraffic.ai built the category from scratch

WinTraffic deployed its 50 AI agent system with a strategy adapted to The Patch's unique position: category creation, not category competition.

Market intelligence and intent mapping The research agent mapped every adjacent query cluster where The Patch's audience was already searching. Not "skills-based hiring platform" (nobody searches that yet), but "how to reduce bias in hiring," "alternatives to resume screening," "AI interview tools," "how to assess candidates without degree requirements." The agent identified 200+ intent clusters across six languages, prioritizing English and French markets where the founders had the strongest networks.

Category-defining content architecture Instead of writing product pages optimized for existing keywords, WinTraffic's brief and content agents built a knowledge architecture that defined the category. Pillar pages explaining what skills-based hiring scoring is. Comparison content positioning The Patch against traditional ATS and assessment tools. Thought leadership content connecting gaming ranking systems to recruitment. Problem-awareness content targeting HR directors searching for solutions to hiring bias, poor retention rates, and candidate quality issues.

The 62 pages published weren't random blog posts. Each one was a node in a content network designed to teach AI engines a new concept: that a company called The Patch has built a scoring system for human potential, and that this approach outperforms traditional resume-based hiring.

The Reddit layer Here is where The Patch's strategy diverged most sharply from a standard content play. WinTraffic built a dual-layer acquisition system: owned content on thepatch.ai for long-term authority, and a distributed presence on Reddit for immediate visibility.

Why Reddit? Two reasons. First, Google treats Reddit as a high-trust source. Reddit threads now regularly appear in the top 3-5 results for hiring-related queries. Second, and more importantly, large language models pull heavily from Reddit when generating answers. When someone asks ChatGPT or Perplexity "what tools exist for skills-based hiring," the models draw from Reddit discussions to form their responses.

WinTraffic's system seeded relevant subreddits (r/recruiting, r/humanresources, r/startups, r/cscareerquestions) with valuable, non-promotional content about skills-based hiring. Real answers to real questions, with natural references to The Patch when contextually relevant. This created a distributed authority layer that traditional content strategies completely miss.

The result: when an AI engine processes a query about skills-based hiring, it finds The Patch referenced both on the company's own high-quality content and in organic Reddit discussions. That dual-source citation pattern is exactly what LLMs need to confidently recommend a product.

Quality assurance across the corpus The QA agent verified every page against the full content library to prevent cannibalization. With 62 pages covering an emerging category, the risk of overlapping content was high. The system maintained clean topical boundaries so that each page targeted a distinct intent cluster, and the internal linking structure mapped the entire category for both search engines and AI crawlers.

Results: from zero to category leader in 5 months

AI citability: +410 % in 5 months Before WinTraffic, The Patch appeared in less than 5 % of AI-generated answers to queries about skills-based hiring, AI recruitment tools, or alternatives to resume screening. Five months later, that number reached 26 %, making The Patch the most-cited solution in its category across ChatGPT, Claude, and Perplexity. For a category that barely existed before, owning a quarter of all AI-generated mentions is the equivalent of being the default answer.

62 pages published, zero cannibalization Building a new category means controlling the narrative across dozens of related topics without those pages competing against each other. WinTraffic's QA system maintained clean keyword boundaries across all 62 pages, ensuring each one served a distinct search intent.

6/6 AI engine coverage The Patch is now cited on all six major AI engines tracked by WinTraffic: ChatGPT, Claude, Perplexity, Gemini, Grok, and Google SGE. The Reddit layer was particularly effective for Perplexity and ChatGPT, which weight forum discussions heavily in their citation logic.

Why this worked: the category creation playbook

Three elements made The Patch's growth trajectory possible.

Timing the narrative, not the keyword. Most content strategies start with keyword research: what are people searching for today? The Patch's strategy started with a different question: what will people be searching for in six months, and how do we own those answers before anyone else writes them? By publishing category-defining content early, The Patch became the primary source that AI engines learned from. Once an LLM associates a concept with a brand, that association is remarkably persistent.

The dual-layer advantage. Owned content builds long-term authority. Reddit presence builds immediate citation signals. Most companies do one or the other. The Patch did both simultaneously, which created a compounding effect: AI engines found consistent references across independent sources, which increased citation confidence. This is the same principle that makes academic citations work. A claim referenced in multiple independent papers is treated as more reliable than one referenced only by its author.

A founder story that LLMs amplify. AI engines don't just index facts. They index narratives. The story of a Goldman Sachs VP who realized the hiring system is broken, combined it with lessons from competitive gaming, and built a scoring system for human potential is exactly the kind of narrative that LLMs surface when users ask "why" questions. "Why is skills-based hiring better?" leads to a story, not a feature list. And that story points to The Patch.