AI & Data Companies
Enterprise AI companies face a unique discovery problem. Your buyers research on GitHub and academic papers before they ever visit your website.
The market reality.
AI and data infrastructure companies face a unique discovery problem. Your buyer is often technical, researching competitors on GitHub and in academic papers. Your market is nascent, so category definition itself is competitive. You are competing against both established vendors and other AI-native startups. You need to establish thought leadership in a crowded space. Your web experience needs to appeal to both technical builders and business decision-makers. Your search strategy needs to own emerging AI topics before competitors claim them.
How VAN approaches AI companies.
We position AI and data companies as market authorities. Content strategies that position founders as category thinkers. Web experiences that translate technical complexity into business value. Search strategies that optimize for AI-specific queries around prompt engineering, model comparison, and framework evaluation. For data infrastructure companies, we focus on developer adoption and technical credibility. For AI software companies, we balance technical proof points with business case studies. Across all AI companies, we optimize for research phase velocity, getting decision-makers to your site while they evaluate alternatives.
Your AI company should own the category conversation.
One conversation with VAN gives you access to the full network of specialists.
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