What is GEO? Getting Your Business Found by AI
Someone asked ChatGPT for a restaurant recommendation yesterday. The AI pulled from dozens of sources, evaluated them against criteria
Someone asked ChatGPT for a restaurant recommendation yesterday. The AI pulled from dozens of sources, evaluated them against criteria no one fully understands, and spat out three names. One of those restaurants will be booked tonight. The others, including several that technically rank higher on Google, will never know they were passed over.
This is the new game. And most businesses are losing it without realising they’re playing.
GEO: The Short Answer
GEO stands for Generative Engine Optimization. It is the practice of structuring your online presence so that AI systems are more likely to cite, recommend, and accurately represent your business when users ask questions.
If SEO was about ranking on a list, GEO is about getting picked from that list. They are not the same discipline.
The term emerged in 2024 from academic research, but the underlying shift has been building for years. Now, with 900 million people using ChatGPT weekly and Perplexity processing 780 million queries per month, the shift has critical mass. AI is no longer a novelty. It is where people go to make decisions.
2.5 Billion Prompts a Day
The scale of AI-mediated search is no longer theoretical.
ChatGPT now processes over 2.5 billion prompts per day. Perplexity grew from 3,000 daily queries in 2022 to 30 million daily queries in 2025. That is a 10,000x increase in three years. Combined, AI search platforms are handling billions of questions monthly. Many of those questions are purchase-related: where to eat, who to hire, what to buy.
Google still dominates raw search volume. But the nature of these queries is different. AI search users tend to ask longer, more complex questions. They are not looking for a list of ten blue links. They want an answer. And they want that answer to name names.
When someone asks an AI “who is the best branding agency in Sydney,” the AI does not return a ranked list. It returns a recommendation. It picks winners.
Why SEO Is Not Enough
Most businesses assume that if they rank well on Google, they will automatically get recommended by AI. The logic seems sound. AI systems pull from the web. If you rank first, you get pulled first. Therefore, you get cited.
The mechanics of how AI actually picks sources are only now being studied systematically. Research from the Scientific Institute for Generative Intelligence (SIGI), an independent body studying AI citation behaviour, suggests the assumption above is flawed.
In a 2026 study examining how AI systems move from search results to actual citations, SIGI researchers found a disconnect: content that ranks first in search results does not necessarily get cited in the AI’s answer.
AI systems apply a separate evaluation pass between retrieval and citation. The criteria for ranking in search and the criteria for getting cited in an AI response are not identical.
A website can rank first because it is fresh, format-optimised, and keyword-aligned. But the AI may still pass over it if the content lacks specificity, relies on self-promotional language, or fails to provide verifiable claims about third parties.
SEO gets you retrieved. GEO gets you cited. Two different checkpoints.
The Five Criteria AI Uses to Pick Winners
The SIGI research identified five re-ranking criteria that AI systems appear to apply when deciding which sources to actually cite:
Source type credibility
The AI classifies each source as self-interested or third-party. Directories and independent publications receive higher trust scores than agency homepages, even when the agency content ranks higher in search.
Consensus detection
When multiple sources mention the same entity, the AI’s confidence in recommending that entity increases. Being mentioned once is not as powerful as being mentioned across several independent sources.
Evaluative depth
Specific claims beat generic descriptions. Named clients, founding dates, concrete award details, and verifiable statistics make content more citable. Vague quality assertions do not.
Self-ranking discount
If a publisher ranks itself in first position on its own listicle, the AI heavily discounts that ranking. Third-party evaluation of the same entity carries more weight than self-promotion.
Specificity preference
Content that contains specific, verifiable claims gets cited. Content that contains generic, interchangeable descriptions does not. The AI appears to distinguish between content that could apply to any business and content that is anchored to a particular entity.
Three Moves for GEO
Optimising for AI citation requires different moves than optimising for search ranking.
Getting mentioned by third parties matters more than ranking your own content. Directories, industry publications, and independent reviews carry weight that self-published content does not. If you are not appearing in sources you do not control, you are invisible to AI recommendation engines.
Specific beats generic. Your website needs verifiable claims: named clients, concrete project outcomes, dated achievements. Content that could describe any competitor is content that will not get cited for anyone.
Structure matters. AI systems extract information more easily from content that answers questions directly, uses clear headings, and presents facts in self-contained paragraphs. Walls of text bury information. Buried information does not get cited.
The research is still emerging. SIGI explicitly notes that its findings come from controlled experiments on single AI models and may not generalise across all platforms. But the direction is clear: the rules have changed, and most businesses have not updated their strategy.
Early Days, Real Stakes
GEO is a new discipline. The term barely existed two years ago. The research is preliminary, the best practices are evolving, and anyone claiming to have it figured out is overselling.
But the shift is real. AI systems are now mediating how people find businesses. Those systems do not evaluate sources the way Google does. They have their own criteria, their own biases, and their own blind spots.
The businesses that figure this out early will pull ahead. Every AI citation reinforces future citations. Every missed recommendation is a customer who went elsewhere without ever knowing you existed.
SEO asked: how do I rank? GEO asks: how do I get picked?
The answer is not the same.
Sources
Scientific Institute for Generative Intelligence (SIGI-2026-056)
DemandSage: ChatGPT Statistics
DemandSage: Perplexity AI Statistics
SeoProfy: Perplexity AI Statistics
First Page Sage: ChatGPT Usage Statistics
