Generative engine optimisation is the practice of structuring your content so AI search engines quote it inside the answers they write, not just list it underneath. It extends classic SEO into a world where a model reads the web for the user and returns one synthesised reply. The goal shifts from ranking a link to being the source the answer is built from.
That shift is already underway. People increasingly ask ChatGPT, Gemini, Perplexity, and Google's own AI Overviews a full question and read the response, rather than scanning ten blue links. For a small business, this changes what visibility even means. You can rank first on Google and still be invisible inside the answer a customer actually reads.
This article explains what is happening to search, defines generative engine optimisation plainly, sets out GEO vs SEO without the hype, and shows what to do about it. We work with Australian small businesses on exactly this problem, so the examples are practical rather than theoretical.
What is generative engine optimisation?
Generative engine optimisation (GEO) is the discipline of making your content easy for a large language model to find, trust, and cite when it generates an answer to a user's question. Where SEO aims to rank a page in a list, GEO aims to get your facts, phrasing, and brand into the synthesised response itself.
The term comes from real research, not an agency pitch deck. In a peer-reviewed paper presented at KDD 2024, researchers at Princeton and IIT Delhi (Aggarwal et al.) defined GEO as the first framework for improving content visibility in generative engines, and showed their methods could lift a source's visibility in AI-generated responses by up to 40%. They tested this on GEO-bench, a large benchmark of varied queries across many domains. So the effect is measurable, and the levers are known.
You will also see the same idea called answer engine optimisation, AEO, or LLM SEO. The labels differ. The objective is identical: be the thing the AI quotes. We treat GEO as the broad term because it covers both standalone assistants like ChatGPT and the AI answers now embedded inside Google.
How AI search actually works
Traditional search and AI search solve the same job in opposite ways. Google's original model, PageRank, ranked pages by how many quality sites linked to them, then handed you a list. You did the reading and chose the source yourself.
A generative engine does the reading for you. It pulls passages from several pages, often through a process called retrieval-augmented generation, then writes a single answer in its own words and, increasingly, cites a handful of those pages. The user gets a conclusion, not a reading list.
That difference matters for three reasons.
First, the unit of competition changes. In SEO you compete for a position. In GEO you compete for a sentence inside the answer, which may credit one or two sources out of dozens the model considered.
Second, the query changes. People type fragments into Google ("plumber Brunswick emergency"). They speak full sentences to an assistant ("who can fix a burst pipe in Brunswick tonight and what will it cost"). Content written for keyword fragments often reads poorly to a model parsing a real question.
Third, the model rewards clarity over keyword density. A page that states a fact cleanly, attributes it, and answers the actual question is easier to quote than one stuffed with phrases. We see this constantly: the page that wins the citation is usually the one that reads like a confident, well-sourced answer.
GEO vs SEO: the difference that matters
GEO vs SEO is the question we get asked most, and the honest answer is that one feeds the other. SEO builds the authority and crawlability that make a page worth quoting. GEO shapes that page so a model can lift the answer without effort. Treating them as rivals is the mistake.
Here is the practical comparison.
| | SEO | GEO | |---|---|---| | Goal | Rank in the results list | Be cited inside the AI answer | | Unit of success | Position and clicks | Mentions and citations in responses | | Query style | Keyword fragments | Full conversational questions | | Reader | A person scanning links | A model synthesising an answer | | Wins on | Authority, links, technical health | Clarity, structure, quotable facts | | Output | A ranked page | A sentence the model trusts |
The overlap is large. Both reward genuine expertise, fast accessible pages, and clear writing. Both depend on your site being crawlable and well organised. The seo vs geo debate gets framed as a fight because it sells courses. In our work the two sit on one continuum: do the SEO fundamentals, then optimise the same content so an answer engine can use it.
What GEO adds on top of solid SEO is mostly formatting and proof. State the answer in the first line of a section so a model can grab it. Attribute statistics to a named source. Use schema markup so machines understand what your content means. Define your terms. These are small changes that compound, and they sit naturally inside the structured, foundations-first approach we describe in the value of design systems.
AI Overviews and the click that never comes
The clearest evidence that this is real, and urgent, comes from Google's own product. AI Overviews, the AI summary that now sits above the normal results, reached 2 billion monthly users by mid-2025, up from 1.5 billion only two months earlier, according to figures Sundar Pichai gave on Alphabet's Q2 2025 earnings call (TechCrunch). Google's more conversational AI Mode had already passed 100 million monthly users in the United States and India. This is mainstream behaviour, not an experiment at the edge.
The effect on clicks is the part every business owner should sit with. The Pew Research Center tracked 68,879 Google searches by 900 US adults in March 2025. On pages that showed an AI summary, users clicked a normal search result on just 8% of visits, against 15% on pages without one, roughly half as often. They clicked a source cited inside the summary on only 1% of visits. People were also more likely to end their session entirely after reading the AI answer: 26% of the time, versus 16% without a summary.
Read that plainly. The traffic you earned through years of SEO is being intercepted by an answer the user reads and acts on without clicking. If your facts are inside that answer, you are still in the conversation, with your brand named as the authority. If they are not, you have effectively vanished, no matter your ranking. This is why visibility inside the answer is now the metric that matters, a theme we return to across our work on LLMs and the move from SEO to GEO.
How to optimise for AI search
GEO comes down to making your expertise easy for a model to extract and trust. The work splits into four areas.
Answer the question first. Open each page and each section with a direct, self-contained statement that resolves the query. Models lift these cleanly because they need no surrounding context. Bury the answer three paragraphs down and it rarely surfaces. This is also why an FAQ block earns its place: each question maps to a real query, and each answer is a quotable unit.
Be worth citing. A model cites sources that look authoritative and specific. Original data, named figures, clear expert opinion, and properly attributed statistics all raise your odds. Vague, generic content that restates what every competitor says gives an engine no reason to single you out. We have found the pages that get quoted are usually the ones a human expert would also choose to reference.
Make the structure machine-readable. Use clean semantic headings, short paragraphs, lists, and comparison tables. Add schema markup so an engine knows a page is an article, an FAQ, a product, or a local business. Keep the site fast and crawlable. None of this is exotic. It is disciplined technical hygiene, the same foundation a discovery and audit is built to surface.
Establish the entity. Models build an internal picture of who you are from consistent signals across the web: a stable business name, accurate listings, citations from other sites, and a clear About page. Inconsistent names and stale directory entries muddy that picture. Treating your online presence as one connected system, rather than disconnected channels, is the logic behind systems thinking for small business and a unified digital marketing strategy.
One caution. Models can get things wrong, a problem known as hallucination. Clear, well-structured, accurate content reduces the chance an engine garbles your offer or invents a detail about your business. Precision protects you.
What this means for Australian small businesses
Australian search volumes for these terms are smaller than the United States, but they are climbing fast and the competition is light. Interest in "generative engine optimisation", "geo vs seo", and "ai overviews" is rising across Australia, the US, and the UK on the same trajectory, which marks a genuine trend rather than a local fad. For an Australian business, that combination, real demand and few competitors who have acted, is the definition of an early-mover opening.
The wider economic case is striking. Deloitte Australia's report The AI edge for small business found that if just one in ten Australian SMBs moved one rung up the AI adoption ladder, $44 billion could be added to GDP each year. Around two-thirds of SMBs already use AI, yet only about 5% are fully enabled to get real value from it. Moving from basic to intermediate use was linked to a 45% lift in profitability.
There is a gap between using AI tools and using them strategically, and GEO sits squarely in it. Most Australian businesses have not yet adapted their content for AI search. The ones that do now will be the cited authorities in their category while competitors keep optimising only for a results page that fewer people read. Starting early is the advantage.
The Enki approach
We treat GEO as part of one connected system, not a bolt-on tactic. Strong SEO foundations, content structured to answer real questions, clean schema, and a consistent brand entity work together so you are visible whether a customer reads a list of links or an AI-written answer.
In our work with Australian small businesses, the starting point is usually an audit: which questions matter in your market, where AI answers already intercept your customers, and whether your content is built to be quoted. From there we make the technical and editorial changes that get a business named inside the answer. Search is changing once. Doing the work now, while the field is open, is far cheaper than catching up later.