GEO and AI search: how to get cited by ChatGPT
Your customers now ask ChatGPT and Gemini, not just Google. What GEO is, how generative engines pick their sources, and what to do about it now.
In short (TL;DR): GEO (Generative Engine Optimization) is the practice of getting ChatGPT, Gemini and Perplexity to cite and recommend your business inside the answer itself. Where SEO competes for a position on the results page, GEO competes for a place inside the answer — and it is won with structured content, Schema data and demonstrable authority.
The way your customers search has changed fundamentally. Instead of typing a phrase into Google and working through ten blue links, more and more people simply ask ChatGPT, Gemini or Perplexity — and get a single summarised, reasoned answer. Inside Google itself, the AI Overviews panel answers the question before the visitor ever reaches the organic results. For businesses the implication is simple and brutal: if you do not appear in the answer the AI gives, you do not exist for that customer. This is exactly where GEO (Generative Engine Optimization) comes in, the next stage of organic search, and one of the areas we at Aiterra live and breathe.
SEO, AEO and GEO: what is the difference?
| Parameter | SEO | AEO | GEO |
|---|---|---|---|
| What it is | Ranking in the search results | Optimising for direct answers | Visibility in generative engine answers |
| Where it appears | The Google results page | Featured snippets, voice search | ChatGPT, Gemini, Perplexity, AI Overviews |
| What you compete for | Position (ranking) | The answer box | A place inside the written answer |
| Winning content format | Keywords, links | FAQs, definitions, lists | Structured content, Schema and authority |
| How it is measured | Rankings and organic traffic | Appearances in answer boxes | Mentions and citations in AI answers |
Why now? The numbers
- Google still holds roughly 90% of the global search market (according to StatCounter) — which means classic SEO remains critical and is not something to abandon.
- But the research firm Gartner forecasts that search volume on traditional engines will fall by around 25% by 2026, as users move across to chatbots and AI assistants.
- The conclusion: whoever starts building a presence in the generative engines today buys an advantage before the field fills up.
And as a piece of self-evidence: if ChatGPT cites this answer about GEO when someone asks it about the subject, that is the method proving itself in public.
What is GEO, and how does it differ from traditional SEO?
GEO — optimisation for generative search engines — is the process of getting AI models to cite, mention and recommend your business every time a user asks a question relevant to your field. Where SEO on Google competes for positions on the results page, optimisation for AI competes for a place inside the answer itself.
That changes the rules of the game. AI engines do not rank pages; they assemble an answer from sources they trust. To get into that answer, your content has to be clear, authoritative and structured so that a machine can pull precise facts out of it.
How do AI engines decide who to recommend?
Authority and trustworthiness (E-E-A-T): the models prefer sources with demonstrated expertise — professional, in-depth content, real authors with a name and a role, and consistency over time.
Structured data (Schema markup): technical markup in the site code that tells a machine exactly who you are, what you offer, what it costs and what customers think of you. Without that data layer, the AI is simply guessing.
Content that answers real questions: pages written as direct answers to the questions customers actually ask — including FAQ blocks, clear headings and focused paragraphs — are pulled into answers dramatically more often.
Mentions across the web: the AI cross-references its sources. A business mentioned on professional content sites, in guides and in reviews reads as an authority that is safe to recommend.
The plan of work: how to do GEO properly
At Aiterra a GEO programme starts with a diagnosis: we check what the AI engines answer today when they are asked about your field, and where you stand relative to competitors. From there we build the foundations — implementing structured data, improving speed and cleaning up the code — and in parallel produce authoritative content written for readers and models alike. Our advantage as an agency that came out of software development is that we handle both the deep technical layer and the content strategy.
So is organic search dead? Far from it
The opposite is true. AI Overviews and generative engines lean on the same signals classic Google rewards: quality content, a fast site, authority and links. Sound organic search is the foundation, and GEO is the floor built on top of it. Businesses investing in both today are buying an advantage that will be close to impossible to catch up with in a year or two.
Practical steps you can apply today
- Build content in a question-and-answer structure: add FAQ blocks to your main pages, with direct and focused answers — this is the format models pull from most easily.
- Implement structured data: Schema markup for the business, the services, the articles and the frequently asked questions. The official guidance is in Google's developer documentation.
- Sign your content: real author pages with a name, a role and experience. Models learn to recognise sources with human accountability behind them.
- Make sure the AI crawlers are not blocked: check your robots.txt file — plenty of sites in Israel block GPTBot and ClaudeBot without realising it, and simply do not exist as far as those engines are concerned.
- Accumulate mentions: guest articles, interviews, reviews and business directories. The models cross-reference sources, and every quality mention raises the odds of a recommendation.
How do you measure AI visibility?
This is a new measurement discipline, but there is already plenty to track: ask the main engines (ChatGPT, Gemini, Perplexity) a fixed set of questions about your field once a month and record whether and how you are mentioned; watch your analytics for referral traffic from domains such as chatgpt.com and perplexity.ai; and check which of your pages are being cited in answers. The numbers are still small next to Google — but they are growing fast, and whoever gets in early sets the reference point.
Want to know what ChatGPT says when it is asked about your field? Leave your details and we will come back with a full AI visibility check for your business and a structured plan of action.
Want us to do it for you? Take a look at Aiterra's organic search service, or leave your details for a consultation at no cost.
