Features can be copied. Pricing can be matched. A competitive moat is the kind of advantage that gets harder to overcome the longer you hold it.
A competitive moat is a durable, structural advantage that makes it difficult for competitors to erode a company's market position over time. Moats compound - each year they hold, they tend to deepen rather than erode.
Warren Buffett popularized the moat concept. The canonical types:
AI has introduced new moat candidates: proprietary training data, model fine-tunes on industry-specific workflows, and AI-driven network effects where usage improves the model's outputs for all users. The key question for any AI-native business: is the data advantage compounding, or is it one-time?
Many things that feel like moats aren't. First-mover advantage alone is not a moat - without switching costs or network effects, being first just gives competitors a roadmap. Technology features are rarely moats because they're replicable. A great team is an advantage but not a structural moat - it walks out the door.
For most B2B companies without network-effect businesses, the most achievable moats are: (1) switching cost moats built through deep integration and workflow dependency; (2) brand moats built through consistent positioning and category leadership; (3) data moats if you have proprietary access to customer behavioral data. Treetop's positioning work focuses on identifying which moat type is realistic for a given client.