Framework
Vertical AI GTM Playbook
For vertical AI companies, the GTM formula is: identify exactly where your ICP lives online (not where other founders live), start SEO from day one, build customer video stories as your primary sales asset, and create word-of-mouth through product quality before building a referral program. The distribution channel must match the buyer's media diet, not the founder's.
How it works
- 1ICP channel match: restaurant owners are on Facebook and Instagram, not LinkedIn - distributing content exclusively on LinkedIn reaches other founders, not buyers; knowing this distinction early determines whether content generates leads or just engagement from the wrong audience
- 2SEO as a founding activity: starting SEO on day one creates compounding lead flow that does not require ongoing ad spend - Christian attributes about 25% of Loman's inbound leads to organic search; the earlier you start, the larger the compounding base
- 3Customer video as primary sales asset: shoot a long-form customer story, split it into YouTube content, shorts for every platform, social cards, and blog posts; one production shoot becomes weeks of distributed content without a marketing team
- 4Referral without a referral program: if product quality is high enough, customers refer before you ask them to - Loman gets 20% of leads from referrals with no formal program; the referral program you build later amplifies what product quality already started
- 5Founder-led content before sales team: Christian ran all marketing himself for the first year - the constraint of no marketing budget forces focus on the highest-leverage channels; a team of AEs selling inbound leads is far more efficient than SDRs working cold outbound
- 6Content repurposing as force multiplication: shoot long-form, distribute short-form across every platform; when you are a 14-person company, the video production cost is the same whether you distribute to one platform or six - repurpose aggressively
Hear it on the podcast
Building a Restaurant AI Startup from Zero to 1,000 Customers in a YearListen to the episodeMore from this episode
The Restaurant Revenue TriangleThree levers, two revenue and one cost: answer 100% of calls instead of 60% (direct revenue recovery), upsell on every single order instead of 5-8% of them (average order value lift), and redirect or eliminate the labor hours absorbed by phone handling. The math stacks across all three lines simultaneously - making this a rare product category that improves a business's P&L in multiple ways at once.Timing as Product StrategyThe founders who tried to build restaurant voice AI before GPT-3.5 had to train their own models - at great expense, with poor results. Loman launched two months after GPT-3.5 and got the same capability for the cost of an API call. Christian's principle: if an LLM cannot yet do the thing your product requires, waiting is sometimes the right strategic move. The technology timeline is part of your roadmap.
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