What Is Generative Engine Optimisation (GEO)?

Last updated: September 2026.

More of our clients are asking a new question these days: does ChatGPT know we exist? For years, the answer to “are we visible online” was a Google ranking. Now it might be a paragraph an AI assistant writes without ever sending anyone to your website.

That shift has a name: Generative Engine Optimisation, or GEO. It isn’t a rebrand of SEO. It’s a separate discipline running alongside it, and brands ignoring it are already showing up less in the answers people actually read.

What Does Generative Engine Optimisation Mean?

Generative Engine Optimisation (GEO) is the practice of structuring content and brand presence so AI systems such as ChatGPT, Google AI Overviews, Perplexity, and Gemini can cite, summarise, or recommend it directly inside their answers. Instead of competing for a ranking position, GEO competes to become part of the answer itself.

According to Search Engine Land (2026), the term was formalised by researchers at Princeton, Georgia Tech, IIT Delhi, and the Allen Institute for AI, who defined GEO as a framework for improving visibility inside generative engine responses rather than traditional search rankings. Their original study measured this using GEO-BENCH, a benchmark built from ten thousand real queries.

How Is GEO Different From SEO?

SEO earns a ranking position in a list of links. GEO earns a mention inside an AI-generated answer, often without a click at all. The two disciplines share a foundation, but they optimise for different outcomes.

According to Semrush (2026), GEO doesn’t replace SEO, it builds on it. The crawlability, structured content, and credible backlinks that come from a solid SEO content strategy are most of the GEO groundwork already done.

This mirrors a shift we’ve written about before with voice search, where the goal became winning the single spoken answer instead of a page of results. GEO is that same principle, applied across every AI interface at once.

Is GEO the Same as AEO?

GEO and Answer Engine Optimisation (AEO) overlap heavily, but they aren’t identical. AEO is extraction-centric: it structures content so a single passage gets pulled out and shown as a direct answer, the way featured snippets and voice assistant replies work.

An example of GEO vs SEO

According to Conductor (2026), AEO grew out of the featured-snippet and voice-search era, while GEO is the newer label applied to engines that synthesise an answer from multiple sources rather than excerpting one. In practice, the two disciplines are built from the same foundation: clear structure, direct answers, and credible sourcing. Most brands don’t need separate budgets for each.

Which AI Engines Matter Most, and What Do They Reward?

Not every AI engine works the same way, so the same page won’t perform identically across all of them. Understanding what each one favours helps prioritise where to focus first.

Google and Gemini still reward classic SEO fundamentals. Ranking well remains part of the job, GEO adds a second, section-level layer on top of it.

Why Does GEO Matter for Cross-Border Brands?

Brands entering a new market carry no local trust yet. When someone in Tokyo or Ho Chi Minh City asks an AI assistant for a recommendation, an unfamiliar brand needs to appear inside that answer to even be considered.

In pitches for F&B, consumer, and fintech brands expanding across Southeast Asia, we treat generative engine optimisation as a standing line in the marketing plan, not an add-on. Search behaviour is moving toward AI-first discovery before a reader ever lands on a website.

According to Search Engine Land (2026), AI Overviews already appear in at least 16% of all searches, and significantly more for comparison and high-intent queries. That’s the exact moment a brand new to a market needs to be findable.

Local and market-specific queries behave differently to broad category ones. According to Yext Research (2025), unbranded local queries drew nearly 60% of their citations from first-party business websites and local pages, more than for broader category questions. For a brand entering Singapore or Tokyo, that means the brand’s own site and location pages carry more weight than they do for generic industry questions.

What Actually Drives AI Citations?

Six factors most reliably lift AI citation rates, and a brand can control every one of them directly. None require technical tricks or keyword stuffing.

1. Add original statistics and data points. According to the Princeton GEO study (KDD 2024), adding statistics and citing authoritative sources lifted visibility in generative engine answers by up to 41%.
2. Cite named, authoritative sources inside the text itself, not just in a footnote.
3. Use precise figures instead of hedged language. “The rate is 15%” gets extracted more often than “the rate is roughly 15%.”
4. Open every section with a self-contained answer in the first two sentences.
5. Prioritise structure over length. A tightly organised, well-sectioned page can outperform a long unstructured one, since AI systems pull the passage, not the whole page.
6. Keep content fresh. AI systems treat an outdated statistic as a reason to skip a source entirely.

How Do You Start With Generative Engine Optimisation?

Getting started doesn’t require rebuilding a website. It requires auditing what’s already there, then rewriting the sections that matter most first.

1. Ask ChatGPT, Perplexity, and Gemini the questions your customers would ask, and note whether your brand comes up at all.
2. Rewrite your most important pages so each section opens with a direct, extractable answer.
3. Attach a real data point or named source to every claim you make.
4. Build mentions on other credible sites, not just your own blog. Off-site mentions carry weight AI systems can verify independently.
5. Track citations monthly. Results shift as engines update their models, so this isn’t a set-and-forget project.

This is the same structure we apply in our own AI in marketing work with clients, adapted to whichever platforms their audience actually asks questions on. We run it the same way we run every engagement, brief the current state, build the fix, lock the messaging so it’s consistent across markets, then scale it once it’s working.

How Long Does GEO Take to Show Results?

There’s no fixed timeline, and anyone promising a set number of weeks is guessing. AI engines re-crawl and retrain on their own schedules, so a rewritten page can start appearing in answers within weeks, or take a couple of months, depending on the platform and how established the domain already is.

What’s predictable is that it’s ongoing, not a one-off fix. Citations shift as models update, so tracking results monthly matters more here than it does in traditional SEO, where a ranking tends to hold once it’s earned.

What Mistakes Hurt GEO Performance?

A few habits reliably work against a brand trying to earn AI citations. Most come from applying old SEO instincts to a discipline that rewards different behaviour.

• Keyword stuffing – According to the Princeton GEO study (KDD 2024), this tactic performed worse than doing nothing at all, unlike in traditional SEO.
• Hedged, vague language where a precise claim is available. AI systems extract confident, specific statements more readily.
• Promotional tone – Content that reads like marketing copy rather than a genuine answer is less likely to be cited.
• Letting statistics go stale. A 2022 figure sitting in a 2026 article is a reason for an AI system to skip the source entirely.
• Treating GEO as a one-off project. Citations shift as models update, so this is ongoing work, not a page that gets published once and left alone.

If your brand is expanding across Asian markets and needs to show up in AI-generated answers, not just page-one rankings, the Creative For More team can help. Book a discovery call to explore how we can support your brand’s growth.

More on GEO

• Generative Engine Optimization Agency: What GEO Is and How to Choose a Partner
• GEO: The SEO Strategy You Can’t Ignore in Google’s AI Era
• Generative Engine Optimisation (GEO): The New SEO Standard
• How LLMs Are Changing Search and What That Means for Your PPC Strategy
• SEO vs GEO vs AEO: Which One Your Business Actually Needs First