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Implementing AI-native go-to-market (GtM) is now a strategic imperative because it compounds both speed and precision across the entire revenue engine:
Companies weaving AI deeply into GTM are setting new performance bars and even new growth benchmarks for AI startups, while laggards face rising acquisition costs and channel risk as AI reshapes search and discovery (e.g., AI overviews depressing traditional SEO traffic).
In short: the gap between AI-native GTM and “business-as-usual” is widening, and it shows up directly in pipeline velocity, win-rates, and unit economics.