Skip to content

AI-native companies · Generative engine optimization (GEO) · Berlin

AI-native companies generative engine optimization (geo) agency in Berlin

AI-native companies need GEO that names the model, the use case, and the developer adoption signal. Generic positioning loses to specific technical-buyer hooks. Xpand Media runs generative engine optimization (geo) for ai-native companies operators in Berlin, remotely from Dubai, with weekly cadence, named-author reporting, and integrations into the Perplexity, Claude search, Twitter/X stack the sector actually uses.

AI-native companiesBerlin
ICP stage
Seed through Series B, technical buyer-led
Service focus
Generative engine optimization (GEO)
Timezone · Berlin
Europe/Berlin

What Generative engine optimization (GEO) looks like here

The generative engine optimization (geo) playbook for AI-native companies in Berlin

We check how ChatGPT, Gemini, Perplexity, Claude and Google AI Mode answer the questions your buyers ask, then work on your content, schema and listings. No one can guarantee what an AI engine says.

Full Generative engine optimization (GEO) playbook

The full operating spine

Other services running inside AI-native companies engagements in Berlin

FAQ

AI-native companies Generative engine optimization (GEO) in Berlin — common questions

What's different about marketing AI-native companies?
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.
Do you handle developer-relations content?
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.
Does GEO work for emerging AI engines like You.com, Phind, Andi?
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.
Is HackerNews part of the operating spine?
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.

Related coverage

Keep exploring

Ready to run Generative engine optimization (GEO) for AI-native companies?

Talk to us about AI-native companies generative engine optimization (geo) for Berlin companies.