We Audited 100 AI Products.
Here’s Which GTM Activities Correlate with Revenue.

The research covers B2B AI product and infrastructure companies, including agent platforms, orchestration tools, LLM infrastructure, vector databases, MLOps platforms, observability tools, developer tools, and related software categories. Consumer AI apps, AI consultancies, and category giants were excluded.

No. The study uses Spearman rank correlation to measure which public GTM signals move with revenue. Correlation does not prove causation. It does show which signals are consistently associated with revenue and where the patterns differ by company type.

Yes, particularly if you sell a complex B2B AI product with technical buyers, multiple stakeholders, long buying cycles, or a combination of product-led and sales-led growth. The exact benchmarks may differ, but the diagnostic framework remains useful.

Do not copy the mature-company search playbook as your primary growth engine. Our findings suggests that early-stage AI companies benefit most from visible customer proof, founder and company LinkedIn presence, trust-building, and paid distribution they can activate immediately.

We saw that once trust is established, compounding assets become more valuable. Domain strength, referring domains, organic traffic, broader LinkedIn reach, and AI visibility are more strongly associated with revenue among mature companies.

Download the research first. If you want to apply the framework directly, 42DM can review your current visibility, trust, and conversion signals and identify the highest-priority GTM gaps for your stage and motion.