Lighthouse or Landgrab

AI companies selling into the enterprise face a basic choice between two go-to-market strategies.

Lighthouse applies when the product enables new work with no clear precedent. Buyers are taking a high-risk leap. They need social proof from prestigious customers before they move. Sales are high-touch, founder-led, and slow. Early logos matter because they reduce perceived risk for everyone else.

Landgrab applies when the problem is already understood and mistakes are recoverable. Buyers care about math: lower cost, faster results, clear ROI. Sales emphasize speed, volume, and standardized deployment. Social proof matters less than demonstrated performance.

The key diagnostic is simple. How exposed is the buyer if the AI fails? And does social proof actually travel in that market? High exposure and concentrated, status-driven markets favor Lighthouse. Low exposure and fragmented markets favor Landgrab.

Mismatched strategies are common. Chasing prestige logos when the market rewards math, or scaling volume before the product is ready, both destroy momentum. The correct sequence is often to establish a Lighthouse position first, then expand into Landgrab once the category is proven.

This Ledger Entry expands how the reader thinks by replacing generic enterprise sales advice with a clear distinction based on the nature of buyer risk and the role of social proof versus demonstrated ROI.