Be the brand AI engines name and cite.
Generative Engine Optimization (GEO) positions your company as the recommended answer in ChatGPT, Perplexity, Gemini, and Google AI Overviews.
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No obligation · Free GEO visibility audit included
GEO Disciplines
How we make AI engines cite your brand
From LLM prompt testing to Knowledge Graph grounding, we engineer answer-ready visibility.
01
LLM Prompt Engineering & Audit
Testing hundreds of buyer prompts across ChatGPT, Perplexity, and Gemini to benchmark citation share.
02
Entity & Grounding Optimization
Structuring machine-readable entity profiles that LLMs use during Retrieval-Augmented Generation (RAG).
Pairs with our SEO service →
03
Answer-Engine Content
Crafting direct-answer content modules formatted specifically for LLM extraction.
See content services →
04
Digital PR & Citation Building
Securing mentions in the primary domain sources LLMs crawl for real-time verification.
05
Citation & Mention Strategy
Earning references on the third-party sources AI engines weight most heavily when forming answers.
06
Measurement & Reporting
We track citation share, answer presence, and AI-referred leads — so GEO ties back to pipeline, not vanity metrics.
GEO Framework
Our 4-step path to AI citation dominance
A rigorous methodology designed specifically for how generative models evaluate sources.
1
Audit your AI visibility
Start by measuring how often ChatGPT, Gemini and Perplexity cite your brand today — and which competitors currently own the answer for your buyer's questions.
2
Build entity authority
AI engines recommend brands they recognise as real entities. We strengthen your presence in the Knowledge Graph and across the sources models trust.
3
Publish answer-ready content
Direct-answer blocks, structured FAQs and citable data give large language models text they can lift verbatim — the single biggest driver of citations.
4
Add structured data
Clean JSON-LD schema hands engines the machine-readable facts they use to attribute a recommendation to you rather than a competitor.
5
Earn citations, then measure
We secure references on the third-party sources AI weights most heavily, then track citation share so GEO ties back to pipeline, not vanity metrics.
6
Optimise for AI Overviews
Getting into Google AI Overviews takes concise answers, schema and authority working together — we tune content specifically to be the source Google quotes.
GEO vs SEO
Generative engine optimization vs traditional SEO
They share foundations, but they optimise for different outcomes. Here's how generative engine optimization compares to traditional SEO — and why most brands now run both.
| Generative Engine Optimization (GEO) | Traditional SEO | |
|---|---|---|
| Goal | Be cited and recommended inside the AI answer | Rank a link on the results page |
| Surface | ChatGPT, Gemini, Perplexity, Google AI Overviews | Blue-link search results pages |
| Unit of success | Citation share — how often AI names your brand | Keyword ranking position and clicks |
| Content shape | Direct answers and citable, structured facts | Long-form pages built around keywords |
| Buyer stage | Captures the AI-assisted research moment | Captures the manual-search moment |
The takeaway: GEO doesn't replace SEO — it extends it to where buyers now ask their questions. Pair this with our SEO service for full-funnel search coverage.
Why Kiyado
Search specialists who saw AI search coming
We're not a generalist agency adding "AI" to a slide. GEO is a core practice built on 15+ years of search expertise.
Search-native team
GEO done by people who understand how ranking and retrieval actually work — not guesswork.
Engine-agnostic
We optimize across every major AI answer surface, not just one.
Measurable outcomes
Citation share and AI-referred leads, reported transparently.
Compliant by design
No cloaking, no hidden tricks — durable visibility that survives algorithm shifts.
Explore
Where GEO fits in your growth
Questions
Frequently asked questions
What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of making your brand visible and citable inside AI answer engines such as ChatGPT, Google Gemini, Perplexity and Google AI Overviews. Instead of chasing a ranking position, GEO structures your content, entities and data so large language models quote and recommend your brand when a user asks a question.
What is the difference between generative engine optimization (GEO) and SEO?
SEO earns rankings on a results page of blue links. GEO earns citations and recommendations inside AI-generated answers from engines like ChatGPT, Gemini and Perplexity. They share foundations such as strong content and structured data, but GEO optimises for being quoted as the answer rather than listed as a link.
How do you do generative engine optimization?
GEO combines five moves: strengthen your brand as a recognised entity, publish answer-ready content that AI models can quote verbatim, add clean structured data, earn citations on third-party sources AI engines trust, and measure citation share across engines. We run all five as one program and refine based on how AI engines respond.
Is SEO being replaced by AI?
No. AI is changing how search results are presented, not removing the need for optimisation. The structured, authoritative content that wins AI citations also strengthens classic rankings, so SEO and GEO reinforce each other rather than one replacing the other.
How do you get cited in Google AI Overviews?
Google AI Overviews pull from pages that give clear, direct answers, are backed by structured data, and carry entity authority. We engineer content into concise answer blocks, add schema markup, and build the third-party signals that make Google confident enough to quote you.
Which AI engines does GEO target?
We optimise for Google AI Overviews, ChatGPT and ChatGPT Search, Perplexity, Google Gemini, Microsoft Copilot, and other large-language-model answer surfaces.
See how visible your brand is in AI — free.
Book a no-obligation consultation and we'll run a complimentary GEO visibility audit on your brand.
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