Discovery & Matching

For each city the platform is live in, an automated weekly cycle:

• Identifies candidate creator profiles from public sources, and identifies local businesses through a structured business listing source.
• Reads each candidate's public profile to extract content niche, location, and audience size.
• Classifies niche and location automatically, cross checked against a curated category taxonomy.
• Passes every candidate through a quality qualification gate before it ever reaches a business's match list.

Unfiltered discovery returns a lot of irrelevant results: national celebrities whose name happens to match a city, brand accounts, and creators genuinely based somewhere else. The qualification gate checks that a candidate is an individual creator, not a brand, and has a genuine, stated connection to the target city, before it is ever shown to a business.

• Location match. A business and an influencer in the same city score highest. Common formatting differences, like an abbreviated state name, are handled without producing false matches between genuinely different places.
• Niche relevance. Each business category is mapped to the influencer content niches actually relevant to its customers, so a strong topical match consistently outranks a loose, generic one.
• Discovered and joined creators, together. A business's match list includes both influencers who have joined and relevant creators discovery has found but who have not signed up yet.