GEO playbook

GEO for consultants: how to get cited by AI

Choosing a consultant is a trust decision: AI engines weigh who has real expertise and proven results. To get cited, claiming «we're experts» isn't enough — you need a named author, case studies with numbers, and a clear methodology.

GEO for consultants: how to get cited by AI

Where you lose AI answers

  • AI names the big brands (McKinsey, BCG), not your practice.
  • Articles with no expert author and no case studies with numbers read as marketing to AI.
  • Abstract thought-leadership with no methodology gives AI nothing concrete to quote.

How people ask AI

«how to choose a consultant for …»«how much does management consulting cost for …»«how to implement … in a company step by step»«which KPIs to track for …»

GEO checklist for this niche

Expert author with a profile

Name, track record, specialization (knowsAbout), links to profiles and publications — the core E-E-A-T signal.

Case studies with numbers

A concrete result: «−23% costs in 6 months»; AI readily cites measurable facts.

A named methodology

Describe your framework step by step (HowTo) — it's easy to cite as your approach.

Direct answer to «how to choose»

A clear answer and criteria right after the heading, before the details.

FAQPage + update date

Service and pricing Q&A with FAQPage schema and a fresh «last updated» date.

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FAQ

Why does E-E-A-T matter so much for consulting?

Picking a consultant is a trust decision: AI screens sources harder by expertise and proven results, so a named author and case studies with numbers give you an edge.

Where do I start?

Add an expert author, case studies with measurable results, and a methodology write-up, give direct answers and a FAQPage, then run the pages through the GEO checker.