A 160k-word knowledge base landed a $280k GEO contract — but the service model barely scales
sujingshen · x · 2026-09-11
A GEO (generative engine optimization) company CEO shares a case study: a listed-company client paying over 2 million RMB a year, with strong results after six months. The key strategy was building a rigorous knowledge base — 160,000 words compiled over months — which made AI-generated GEO content genuinely useful to both AI systems and users. The catch: communication costs are high, the service is heavy, and the team is exhausted. Enterprise data is messy and internally inconsistent, so there seems to be no easy fix, yet the investment is worth it. The author notes this is what "white-hat GEO" and even "AI-native organizations" really look like behind the scenes.
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