CoMatch
AI-powered B2B sponsorship & brand partnership directory
7 followers
AI-powered B2B sponsorship & brand partnership directory
7 followers
CoMatch is a 100% free B2B directory helping creators and startups find brand sponsorships. Describe your project, and our AI Matchmaker finds the best brands, writes custom pitch templates, and provides contact info in seconds. No signup required.
Does the AI Matchmaker pull from each brand's actual past sponsorship history or just guess based on the brand description, since that would make a huge difference in how relevant the matches really are?
@halimez69340 "Great question! It’s a combination of both, but heavily grounded in structured, verified data rather than generic guessing.
Here is how it works under the hood:
Structured Brand DNA: We do not feed the AI raw, unstructured web searches during matchmaking. Every brand profile in the CoMatch database is structured with a validated 'DNA block' containing their actual active creator program criteria, verified requirements, and past/current deal structures (e.g., barter, flat-fee, affiliate pipelines).
Semantic Correlation: When you describe your project, the Google Gemini 2.5 Flash pipeline runs a semantic correlation model. It compares your pitch directly against our registry's structured requirements (such as Logitech G's focus on streaming CCV metrics or scaleX's B2B SaaS revenue focus).
Verification Integrity: The database itself is moderated. During ingestion, our autonomous scraper and human moderators verify that the contact info and requirements match the brand's actual active outreach guidelines.
So, the matchmaker is mapping your project to real-world active sponsorship criteria stored in our database, making the recommendations highly actionable."
how does the AI actually decide which brands are a good fit, and does it factor in audience size or niche at all?
@kemalergdeydc3 "Yes, it absolutely factors in both niche alignment and audience scale (size)! The matchmaking decision engine runs on a 3-step filtering logic:
Niche & Sector Matching: The engine maps the core industry of your project (e.g., DevTools, Gaming, Fintech) to the brand's target audience. If you describe a B2B SaaS, the AI will bypass consumer lifestyle brands and prioritize tech infrastructure/corporate sponsors (like Vercel, Shopify, etc.).
Audience & Collaboration Scale Filtering: Every listing in our database has a target scale tier (e.g., 'Micro 10k-50k', 'Macro 50k+', 'Any Size'). If your description indicates you are a micro-project or an early-stage startup, the AI filters out enterprise-level tier-1 sponsors that require massive scale, directing you instead to sponsors with active barter or micro-partner programs.
Strategic Rationale Generation: The Matchmaker doesn't just output a list; it provides a tailored 'Strategy' for each match. It explains the exact synergy (e.g., 'Since your tool focuses on developer productivity, it aligns with Vercel's active campaign to sponsor tools that improve developer experience (DX).').
This multi-layered filtering ensures you get matches that have a high probability of conversion, saving you time from pitching to misaligned targets."
Honestly impressed it pulled relevant brand suggestions for my niche without forcing a signup first. The custom pitch templates saved me at least an hour of staring at a blank doc.
@satanuurscfq Thank you brother. :)