Cutting Edge

GEO: Generative Engine Optimization

Getting your brand cited when someone asks ChatGPT or Claude, not just ranked on Google.

A growing share of research now happens inside an AI chat window, not a search results page. If ChatGPT or Claude doesn't know your brand exists, or trusts a competitor's content more than yours, you're invisible to that entire audience, no matter how well you rank on Google.

GEO is the discipline of becoming the source these models trust and cite: structured, well attributed, factually consistent content that ChatGPT, Claude, Perplexity, and Gemini can confidently pull from and reference by name.

Go deeper · 18 min read

The AEO + GEO Playbook: how to get cited by AI answer engines

Passages vs pages, query fan-out, chunking, the three trust filters, hallucination-hunting, and citable FAQ design, the full field guide behind this service.

Read the guide

What's Included

  • AI visibility audit across major chat assistants (ChatGPT, Claude, Perplexity, Gemini)
  • Brand entity and knowledge graph optimization
  • Content structuring for LLM extraction
  • AI citation monitoring setup
  • Authoritative source building strategy

Process

01
Baseline Audit
Query ChatGPT, Claude, Perplexity, and Gemini directly to see if, how, and how accurately your brand currently gets mentioned.
02
Entity Cleanup
Fix inconsistent brand information across the web that confuses AI systems about who you actually are.
03
Content Restructuring
Rework key pages into the clear, well attributed, directly answerable format these models actually extract from.
04
Monitor & Iterate
Retest across assistants on a regular cadence and adjust as models update.

Sub Services

Also Included

Making sure the web tells a consistent, accurate story about who you are, the raw material AI models learn from.

  • NAP/entity consistency audit across the web
  • Wikidata and knowledge panel review
  • Structured markup for organization/entity data

Rewriting key pages into the clear, directly answerable format chat assistants actually extract and quote.

  • Direct answer formatting for key questions
  • Clear attribution and fact statements
  • Removing ambiguity that confuses extraction

Ongoing tracking of when and how your brand gets referenced across ChatGPT, Claude, Perplexity, and Gemini.

  • Recurring cross platform query monitoring
  • Citation accuracy alerts
  • Trend tracking over time

Turning every AI hallucination about your category into a mapped content gap you can own, the fastest route to a first citation.

  • Structured probing for weak or wrong answers
  • Gap-to-brief conversion for your writers
  • Priority scoring by citation potential

Decomposing a broad query into the 6-8 sub-questions a model silently answers, so your content matches far more retrievals.

  • Model-driven intent decomposition
  • One self-contained answer per sub-question
  • Coverage mapping across a topic cluster

FAQs

Regular SEO optimizes for a ranking algorithm and a results page; GEO optimizes for how a chat assistant extracts, trusts, and cites information when generating a conversational answer. They overlap heavily but aren't identical.
No one can guarantee citation in any AI model. I can't and won't promise that. What I can do is put you in the strongest realistic position: structurally clear, well attributed, factually consistent content.
No, it's additive. Traditional SEO still drives the majority of measurable traffic; GEO is the emerging layer on top of it.
Through structured, repeated querying of ChatGPT, Claude, Perplexity, and Gemini on your target topics, tracked over time, alongside citation monitoring tools as they mature.
Three filters do most of the work: consistency (your own claims match everywhere), consensus (independent third parties agree with you), and context (the content is written for a specific reader, not a generic average). I break all three down, with examples, in the full AEO + GEO playbook on the blog.
By hunting hallucinations. When a model guesses, waffles, or gets a specific question wrong, that's a content gap where no strong source exists yet. Publishing the direct, well-attributed answer to that exact question is the most reliable way to earn a citation. The playbook walks through five ways to surface these gaps.

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