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Getting cited by AI assistants: answer engine optimisation for B2B technology buyers

73% of B2B buyers used an AI answer engine during vendor evaluation in 2026, and brands cited in the top three positions saw materially more qualified demand. AEO is now part of how buyers find you.

Admin
AdminFounder & Engineering Lead · August 29, 2026 · 7 min read
Getting cited by AI assistants: answer engine optimisation for B2B technology buyers

Buyer research has moved. In 2026, 73% of B2B buyers reported using an AI answer engine during vendor evaluation, and brands appearing in the top three cited positions saw around 38% more qualified demo requests than uncited ones. Organisations are now reallocating 15–25% of existing SEO budget toward answer engine optimisation.

What answer engines reward

  • Content structured so a specific answer can be extracted cleanly
  • Machine-readable markup — FAQPage, Service, Organization, BreadcrumbList
  • Entity clarity, so the assistant knows what your organisation actually does
  • Answers that stand alone without surrounding page context

A worked example from this site

This is not theoretical for us. The IDS site emits structured data across its service and solution pages, including 73 question-and-answer pairs published as FAQPage markup — content written specifically to be quotable out of context.

Measuring whether it worked

Sources

  • AEO trends 2026 — https://blog.hubspot.com/marketing/answer-engine-optimization-trends
  • AI visibility for B2B in 2026 — https://edenrank.com/blog/what-is-answer-engine-optimization-aeo-for-b2b-in-2026