GEO · Generative AI

Generative Engine Optimization Services

Generative Engine Optimization (GEO) makes AI systems understand and recommend your brand by name. It builds the entity authority and cross-web corroboration that get you cited across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews, not just ranked in traditional search.

Generative Engine Optimization (GEO) services build your visibility across the generative AI systems people now use to research and decide — ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. GEO is the broader discipline of making large language models understand who you are, what you do, and why you should be recommended. It works hand in hand with AEO services; together they're delivered as GEO & AEO consulting.

Who this is for

This service fits a specific kind of business. If you recognise yourself below, it's a good match.

Brands thinking ahead

Businesses that want to own AI visibility while competition is still low, not scramble later.

B2B & considered purchases

Companies whose buyers research with AI tools before ever filling out a form.

Authority-driven niches

Experts and firms whose reputation should make LLMs recommend them by default.

Problems this solves

What's included

How it works

A clear, accountable process — no black boxes, no jargon.

Entity audit

I map how generative engines currently understand (or ignore) your brand and where the gaps are.

Foundations

Schema, sameAs, and consistent entity signals across the web so LLMs recognise you reliably.

Content & mentions

LLM-friendly content plus corroborating third-party mentions that build trust signals.

Track

Prompt-testing across ChatGPT, Gemini, Perplexity, and AI Overviews to measure and grow your visibility. See the playbooks: how to get cited in ChatGPT and how to rank in Google AI Overviews.

Frequently asked questions

What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the discipline of optimizing content so that large language models — including the AI systems powering ChatGPT, Perplexity, Google Gemini, and Microsoft Copilot — select your brand, product, or content as a source when generating responses. GEO goes beyond AEO by targeting the training signal, retrieval patterns, and citation behavior of generative AI systems specifically.
What is the difference between AEO and GEO?
AEO (Answer Engine Optimization) targets AI-powered answer boxes within search engines like Google AI Overviews. GEO (Generative Engine Optimization) targets the broader set of generative AI tools — ChatGPT, Perplexity, Claude, Copilot — where users ask questions and expect synthesized answers with source citations. Both disciplines are necessary for full AI visibility; they address different parts of the AI discovery ecosystem.
How do I know if my brand is being cited by AI?
You can manually test by querying ChatGPT, Perplexity, and Google AI Overviews with your target keywords and checking whether your brand or content is cited. For systematic tracking, tools like Profound, Otterly, and BrandMentions now offer AI citation monitoring. A GEO audit identifies your current citation baseline and maps the gap to competitors who are being cited instead.
Can GEO work for local businesses?
Yes. Local GEO is one of the highest-leverage applications because local AI search queries — 'best [service] near me' asked in ChatGPT or Perplexity — have very low competition for AI citations compared to national terms. Local businesses that implement GEO early establish citation authority before competitors are even aware the opportunity exists.
What results can I expect from GEO consulting?
Results vary by industry and baseline, but documented outcomes include 2,100 Microsoft Copilot citations generated within 3 months for a D2C brand, with an average of 6 cited pages per AI response. GEO results compound over time as AI models update their retrieval patterns — early movers maintain citation advantages that are difficult for competitors to displace.

Related services & reading

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