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AI-native companies (foundation model wrappers, infrastructure tools, agentic platforms, vertical AI applications) face a unique marketing problem: their buyers are technical, their competitors are funded, and their AI-engine citation share is the #1 demand-generation channel. Xpand Media runs GEO + AI-qualified outbound + technical content for AI-native operators across Tel Aviv, Singapore, SF, NY, and the wider US tech corridor.
Last updated: May 2026 · Reviewed by the Strategy team
ICP stage
Seed through Series B, technical buyer-led
Key platforms
Perplexity · Claude search · Twitter/X
Active in
6 cities
Xpand first-party data
Q1 2026 across 6 AI-native engagements: brands that combined GitHub presence + named technical author bylines + atomic-fact technical content captured 4.2x share-of-citation in Claude's web-search vs brands relying on traditional B2B SaaS positioning.
The operating spine
Service
Custom AI workflows that eliminate manual reporting, route leads instantly, and keep your CRM clean. so your team can focus on closing.
Service
Fractional CMO embedded in your team. Strategy, execution oversight, and revenue reporting. without the $300K+ full-time cost.
Service
Optimize your brand to appear in AI-generated recommendations across ChatGPT, Gemini, Perplexity, and Google AI Overviews.
Service
Cold email, LinkedIn outreach, and AI-powered lead qualification. all connected to your CRM and optimized for booked demos.
Where AI-native companies clusters
FAQ
Technical buyer + developer community + AI-engine citation share. The classic SaaS marketing playbook (LinkedIn ABM + Google Ads) doesn't reach where the buyers research. AI-native marketing leans hard on GitHub-adjacent content, technical author bylines, atomic-fact documentation, and engine-specific GEO.
Yes for AI-native engagements specifically. Developer-relations content (technical blog, GitHub repos, API documentation) is part of the GEO operating spine when the buyer is technical.
Yes, with engine-specific tuning. You.com and Phind weight technical-source authority heavily; Andi weights named-author bylines. The 70% engine-overlap on shared signals (fresh dates, named bylines, atomic facts) compounds across all engines including emerging ones.
When the audience overlaps. HN doesn't drive direct conversions but the link equity and citation lift from a successful HN post can be measurable for AI-native B2B SaaS targeting US/global developer audiences.
Ready to run the playbook?