Insights
INSIGHT

The B2B AEO Strategy. How Enterprise Buyers Use AI to Discover Vendors.

By Viggo Nyrensten, Co-Founder at SCALEBASEPublished March 5, 2026Updated March 15, 20266 min read

The B2B buying process has been restructured

Enterprise buyers do not cold-call shortlists anymore. They ask AI. Sixty percent of B2B buyers now use AI during the vendor discovery phase — up from approximately 30% eighteen months ago. The businesses that appear in the answer own the deal before the first sales call.

Where B2B buyers are in the AI funnel

Discovery happens at three stages. Problem awareness: the buyer asks what is causing their problem. Category evaluation: they map the vendor landscape. Vendor validation: they verify specific brands they are considering. Zero AI presence at any of these stages means zero influence on that buyer's decision.

The content types that win in B2B AI search

Definitional content, comparison content, and case-specific guides earn the most B2B AI citations. Tracking your Share of Answers across these queries — see the AEO tools guide — tells you exactly how visible you are at each stage.

The entity problem for B2B brands

Most B2B brands have strong human reputation and near-zero AI entity recognition. Implementing Organisation schema is the single fastest fix. A company that has operated for twenty years but has no schema markup is invisible to AI retrieval systems.

Key takeaways

  • 60% of B2B buyers now use AI during vendor discovery — up from 30% eighteen months ago
  • B2B AI discovery happens across three stages: problem awareness, category evaluation, vendor validation
  • Most B2B brands have strong human reputation but near-zero AI entity recognition
  • The gap between AI-cited and non-cited B2B vendors is compounding in favour of early movers
  • Start by mapping customer questions at each buying stage and building direct-answer content
Viggo Nyrensten

Viggo Nyrensten

Co-Founder of SCALEBASE, a specialist AEO and SEO agency based in Mallorca, Spain. Focused on SEO strategy, topical authority, and building technical foundations that compound for AI search visibility.

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