A Guide to GEO (Generative Engine Optimisation): The Sequel to AEO

When we published A Guide to AEO (Answer Engine Optimisation) in January 2025, the idea that an AI might answer a question instead of handing back ten blue links still felt like the near future. A year on, it is simply how a large and growing slice of search works. The live term has shifted too. The discipline most teams now name is Generative Engine Optimisation (GEO), and AEO has largely folded into it.

This is the sequel. If AEO was about earning the featured snippet and the voice answer, GEO is about being the source an AI model retrieves, trusts, and cites when it writes the answer itself. The mechanics are different, the measurement is harder, and the opportunity, for the moment, is unusually lopsided in favour of businesses that move early.

Here is the short version, stated the way an AI engine likes to read it: GEO is the practice of structuring your content so AI search platforms such as ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews cite and recommend your brand inside their generated answers. Everything below explains what that means and what to do about it.

What Is GEO (Generative Engine Optimisation)?

Generative Engine Optimisation is the practice of writing, structuring and publishing content so that AI powered search platforms can retrieve it, understand it, and cite it as a source when they generate an answer for a user.

Traditional SEO optimises for a position in a ranked list. GEO optimises for inclusion in a synthesised answer. The difference matters because there is no fixed “position one” inside an AI response. Large language models are non deterministic, which means the same question asked five times can produce five different answers. Visibility in AI search is therefore less about a ranking and more about a mention rate: how often your brand shows up across many answers to many related prompts.

The term itself comes from academic work, not a marketing agency. It was coined in the paper GEO: Generative Engine Optimization by Aggarwal and colleagues from Princeton University, Georgia Tech, the Allen Institute for AI and IIT Delhi, presented at the KDD 2024 conference. That study introduced a benchmark of 10,000 queries and showed that targeted GEO techniques can lift a page’s visibility in AI answers by up to 40 percent. The techniques that moved the needle most were adding relevant statistics, citing sources, and including quotations from credible authorities. Keep those three in mind, because they reappear throughout this guide.

How Generative Engines Actually Work

To optimise for an AI engine you need a rough mental model of what it does when someone asks it a question. Most platforms follow a similar three step process.

Query fan out. The engine does not paste your full question into a search box. It breaks the question into several smaller related sub queries and searches for each one. Ask for “the best email platform for a small e commerce store under 10,000 subscribers” and the model may quietly search “best email marketing platforms 2026”, “email marketing for e commerce” and “email pricing for small business” as separate queries. Google’s own documentation now describes this fan out behaviour directly.
Retrieval. The engine pulls relevant passages from the live web and its own index, typically using retrieval augmented generation (RAG). RAG feeds specific extracted passages to the model as context so the answer is grounded in real sources rather than memory alone.
Synthesis. The model blends those passages into a single conversational answer, often citing two to seven domains. Your job in GEO is to be one of those few cited domains, and to be cited across the many sub queries the fan out produces, not just the one headline question.

The practical lesson sits in step one. You are no longer writing for a single keyword. You are writing so that the fragments of a longer question each find a clear, quotable answer somewhere on your site.

GEO vs AEO vs SEO: What Changed

If you read the AEO guide, the short story is that AEO has largely been absorbed into GEO. AEO grew up around voice search and featured snippets. Most voice and conversational queries now route through AI systems that use the same generative response mechanism, so the two disciplines have converged. Here is how the three relate.

Aspect	SEO	AEO	GEO
Primary goal	Rank a page in a list of links	Win the direct answer or featured snippet	Be cited inside an AI generated answer
Unit of visibility	Position on a results page	The snippet or voice response	Mention rate across many AI answers
Content focus	Keywords, depth, links	Concise question and answer blocks	Citable facts, original data, clear structure
Key signals	Backlinks, technical health, relevance	Schema, clarity, direct answers up top	Authority, third party citations, statistics, freshness
Measurement	Rankings, organic traffic	Snippet appearances, voice mentions	Citation frequency, share of voice in AI answers

One point worth underlining, because it saves money: GEO is a layer on top of SEO, not a replacement for it. The overlap is large. Analysis circulating in early 2026 found that the overwhelming majority of Google AI Overview citations, on the order of 93 percent, point to a page already sitting in Google’s top ten organic results. In other words, weak SEO foundations produce weak GEO results. Google itself takes the blunt view that, from its perspective, optimising for generative AI features is still just SEO, and it recommends ignoring so called hacks such as keyword chunking and special AI only text files.

Why 2026 Is the Tipping Point

The numbers explain why this stopped being optional. A few worth knowing, with the usual caveat that estimates vary by who is counting and what they count.

Share of search. AI generated answers now appear on a large and fast growing share of queries. Search Engine Land reports AI Overviews showing on at least 16 percent of all Google searches, and notably higher for the comparison and high intent queries where buying decisions are actually made. Broader industry estimates for the share of informational queries that return some AI generated answer sit in roughly the 12 to 18 percent band depending on methodology. A year earlier that figure was close to zero, which is the part that should focus the mind.
Adoption. EMARKETER forecasts that nearly a third of the United States population, about 31 percent, will use generative AI search during 2026.
Reach of the platforms. ChatGPT now reports more than 800 million weekly users, and Google’s Gemini app has passed 750 million monthly users. These are no longer early adopter tools.
Quality of the traffic. The traffic that does arrive from AI tends to convert well. The Washington Post has reported that visitors arriving from AI platforms subscribed at four to five times the rate of visitors from traditional search. Referral volume from AI is still modest for most publishers, so the story here is qualified visitors and brand visibility, not a flood of clicks.

The headline takeaway is not the exact percentage. It is the direction and the slope. The line is going up quickly, and the businesses being cited today are the businesses that compound their authority into 2027 and beyond.

The First Mover Opportunity (and Why It Favours SMBs Right Now)

This is the part most worth your attention, and it is the angle that converts.

GEO has already gone mainstream at the enterprise level. Large brands now run dedicated GEO initiatives, hire for it, and buy specialist tooling. Most small and medium businesses have not started at all. Industry surveys in late 2025 and early 2026 found that only around 14 to 16 percent of brands systematically measure their AI search performance, even while a much larger share claims to be “optimising for it”. The gap between intention and execution is enormous, and it is widest in the SMB segment.

That gap is the opportunity. Citation authority behaves a lot like domain authority did fifteen years ago: it accrues to whoever shows up early and consistently, and it becomes progressively harder for late entrants to displace. First movers within a given industry category are already locking in citation share that competitors will struggle to take back later.

There is a structural reason this favours smaller players too. GEO rewards genuine expertise, original data and authentic community presence over domain age and sheer backlink volume. A focused challenger with real know how and a clear point of view can earn citations in its niche ahead of a larger but generic competitor. It is one of the few reasonably level playing fields in marketing at the moment, and the window is open precisely because most of the field has not stepped onto it yet. If you have been weighing up whether your edge is slipping, our piece on why your AI competitive edge is disappearing makes the same case from a broader angle.

If You Already Do SEO and AEO, What to Add for GEO

You do not start over. You extend. If your SEO and AEO foundations are solid, these are the additions that matter for GEO.

Answer in the first 200 words. Real time retrieval engines such as Perplexity and Google AI Overviews weigh a page’s opening heavily. State the complete answer up top, then expand. Do not build up to it.
Add original statistics and data. The Princeton research is clear that statistics, cited sources and quotations drive the biggest visibility gains. Publish a number no one else has: a benchmark, a small survey, a result from your own work. Original data is the single strongest reason for an engine to cite you over a dozen lookalikes.
Cite your own sources, visibly. Pages that reference credible third parties read as more trustworthy to the model. Show your working.
Write for the sub queries, not just the headline. Map the smaller questions a fan out would generate and make sure each has a clear, self contained answer somewhere on your site.
Build presence beyond your own domain. Large language models pull heavily from Reddit, LinkedIn, YouTube and Wikipedia. A brand that is only visible on its own website is invisible to a large part of the retrieval process. Earned mentions and authentic community participation now feed directly into AI visibility.
Refresh relentlessly. Engines favour recency. A 2024 guide with no updates loses ground to a current article on the same topic. Add a visible “last updated” date and keep cornerstone content alive.
Keep the technical plumbing clean. AI crawlers need to access and parse your content. Fast load times, clean structure, valid schema and a crawlable site still matter. This is where solid website development earns its keep.

Best Practices for GEO

Structure for extraction. Clear headings, short self contained paragraphs, lists and tables let an engine lift a clean passage without ambiguity.
Use FAQ and question led sections. They map directly onto how people prompt AI tools and onto the long tail of sub queries.
Demonstrate expertise, authority and trust. Named authors, credentials, real experience and credible references all signal source quality.
Be consistent across platforms. The same facts about your business should agree wherever they appear, so the model encounters a coherent entity.
Treat content as a living asset. Publish steadily and update often rather than shipping one definitive page and walking away.

A quiet note: this very article is built to those rules. A direct answer near the top, a comparison table, named statistics with their sources, and an FAQ. GEO content that practises what it preaches tends to get cited for exactly that reason.

How to Measure GEO

Measurement is the biggest gap in most GEO efforts, which is also why doing it gives you an edge. The metrics that matter are different from the SEO dashboard you already know.

Citation frequency. How often your brand appears across AI answers to relevant prompts.
Share of voice. Your mentions versus competitors across ChatGPT, Perplexity, Gemini and AI Overviews.
Sentiment and positioning. Not just whether you are mentioned, but how you are described.
Referral and conversion quality. Track the smaller but higher converting traffic that AI platforms send, separately from organic search.

You can start manually by running your priority queries through the major engines and logging who gets cited. Several purpose built tools have launched through 2025 and 2026 to automate this, but the manual audit is enough to begin and costs nothing but time.

One sensible budget framework doing the rounds, useful if you are allocating spend, puts roughly 40 percent into core SEO, 25 percent into digital PR and earned mentions, 20 percent into data and reporting, 10 percent into training, and 5 percent into experimentation. Treat GEO as a long term investment in brand authority rather than a short term performance channel.

GEO in Action: A Worked Example

Say you run a Brisbane based business selling ergonomic office chairs. People now ask AI tools things like “what is the best ergonomic chair for lower back pain under 600 dollars” or “which office chair suits a tall person who works long hours”.

The SEO instinct is to target the keyword “ergonomic office chair”. The GEO instinct is broader. You publish a page that answers the specific question completely in its first paragraph, backs the recommendation with your own measured data (seat depth ranges, weight ratings, a small customer satisfaction figure you actually collected), cites the posture research you relied on, and structures the comparisons into a clean table the model can lift. You also make sure your expertise shows up where the engines look, such as a genuinely helpful answer on a relevant forum and a clear, factual business profile.

When the fan out fires off its sub queries about back pain, price and height, your content has a self contained, citable answer ready for each one. That is the difference between ranking and being recommended by name.

Frequently Asked Questions (FAQ)

Is GEO just AEO with a new name?

Not quite. AEO grew up around voice search and featured snippets. GEO is broader and is now the live term, because it covers being cited inside full AI generated answers across platforms like ChatGPT, Perplexity, Gemini and Google AI Overviews. In practice AEO has largely been absorbed into GEO, which is why we are treating this guide as the sequel to our AEO article.

Does GEO replace SEO?

No. GEO sits on top of SEO. The large majority of AI Overview citations point to pages already ranking in Google’s top ten, so weak SEO produces weak GEO. Think of GEO as an extra layer that turns strong SEO foundations into AI citations, not as a replacement for them.

How much of search is actually AI driven now?

Estimates vary by method, but AI generated answers appear on roughly 12 to 18 percent of queries by common industry counts, with Search Engine Land reporting AI Overviews on at least 16 percent of all Google searches and higher again for comparison and buying queries. A year earlier that share was close to zero, so the trend matters more than the exact figure.

Why is now described as a first mover opportunity?

Because most enterprise teams have a GEO initiative running, while most small and medium businesses have not started. Only around 14 to 16 percent of brands systematically measure AI search performance. Citation authority compounds and is hard to displace once established, so early and consistent presence in your niche pays off disproportionately.

Do small businesses really have a chance against big brands here?

Yes, more than in traditional SEO. GEO rewards genuine expertise, original data and authentic community presence over domain age and backlink volume. A focused specialist can earn citations in its niche ahead of a larger, more generic competitor.

What is the single highest value thing I can do first?

Publish original data or statistics on a topic you know well, answer the core question in the first 200 words, and cite your sources. Academic research on GEO found those exact moves, adding statistics, citing sources and including quotations, produced the biggest visibility gains.

How do I know if GEO is working?

Measure citation frequency and share of voice by running your priority questions through the major AI engines and logging who gets cited, then track the higher converting referral traffic AI sends. Most brands are not measuring this yet, which is part of why doing it gives you an edge.

Conclusion

GEO is not a passing acronym. It is the next turn of the same road we started down with AEO: from ranking pages, to winning the direct answer, to being the trusted source an AI engine cites by name. The fundamentals you already invested in still count. Quality content, technical health, real authority and clear structure all carry over. What is new is the slope of adoption and the size of the gap between the brands that have started and the ones that have not.

That gap is the whole story for a small or medium business right now. The enterprises have moved. Most of your direct competitors have not. The window where showing up early and consistently buys you durable citation share is open, and it will not stay open indefinitely. The brands AI cites in 2027 are the ones doing the work in 2026.

A Guide to AEO (Answer Engine Optimisation) and How It Differs From SEO – the prequel to this guide.
AI Revolution: Your Competitive Edge Is Disappearing (What to Do) – the first mover argument, applied more broadly.
AI in Online Marketing: Unlocking New Possibilities – where AI is reshaping the wider marketing stack.
The Power of Storytelling in Business: Tactics for Success – authority and narrative, both of which feed citation worthiness.
Top Focus in Digital Marketing and Best Growth Hacking Tools – the tooling and trends context.
Online Marketing services and Website Development – the practical foundations GEO is built on.