SoMa AI Infrastructure Company — Engineering-Precision LinkedIn
Client: AI infrastructure SaaS, SoMa SF ($16M ARR). Challenge: LinkedIn content below engineering precision standard. ML engineering buyers scrolling past aspirational AI claims. Programme: Principal Engineer LinkedIn + benchmark citation content + model card references + CCPA-native analytics Results (8 months): ML engineering buyer connections: +28 | Benchmark content: shared 3.8x more than product feature posts | CCPA-native analytics: SF above-average opt-out rate revealed actual engagement 32% below reported | Vendor evaluations from LinkedIn: 8/quarter | Pipeline: $3.2M
