Most people hear "GEO" and assume it's just SEO dressed up for the AI era. It's not. Generative Engine Optimisation is a fundamentally different discipline — one where the goal isn't to rank on a results page but to become the source an AI cites when someone asks a question out loud or into a chat window. At Nuclear Marmalade, we've been building GEO strategies for clients since AI-generated answers started eating into organic traffic, and the gap between the two approaches is wider than most people expect.
SEO earns you a position. GEO earns you a voice.
That distinction matters more every month.
What exactly is GEO — and why is it different from SEO?
GEO — Generative Engine Optimisation — is the practice of structuring your content so that large language models and AI-powered answer engines cite it when responding to user queries. Unlike SEO, which optimises for crawlers ranking pages, GEO optimises for comprehension engines that extract, paraphrase, and synthesise information. If a user asks ChatGPT, Perplexity, or Google's AI Overview "what's the best way to reduce customer wait times," GEO determines whether your content becomes part of that answer — or whether your competitor's does. The underlying mechanics are completely different: keyword density gives way to factual clarity, backlink authority gives way to source credibility signals, and meta tags give way to definition-first writing that LLMs can pull cleanly into a response.
Why does the "just rename it" assumption get people into trouble?
Because the tactics that win on Google can actively hurt you with AI engines. SEO rewards keyword repetition, internal linking density, and page authority built through backlinks. GEO rewards something closer to good journalism — clear thesis statements, specific data, and structure that lets a machine extract a quotable answer in the first two sentences under any heading. Glen Healy ran into this directly when auditing a client's content library last year. Pages that ranked on page one of Google were being completely ignored by Perplexity because the content buried its actual answer in paragraph four after two paragraphs of preamble. They weren't bad pages. They just weren't built to be cited. Fixing that — moving the direct answer to the top of every section — lifted their AI citation rate noticeably within six weeks, with no changes to their Google rankings.
How does an AI engine actually decide what to cite?
AI models pull from content that is factually dense, structurally clear, and semantically trustworthy. That means three things matter more than almost anything else. First, your opening paragraph needs to function as a standalone definition — something an LLM can lift verbatim and trust as accurate. Second, your H2 headings should mirror the questions real people ask, because AI assistants are built on top of search intent data. Third, specificity beats generality every time. "We reduced their inbound call volume by 67% in eight weeks" is citable. "We helped them improve efficiency" is not. Our AI agents service is built around this principle — every output is specific, attributable, and structured to be trusted. That's the same standard GEO-optimised content has to meet.
What does GEO-optimised content actually look like in practice?
It looks different from most of what's on the internet right now — which is exactly why it works. A GEO-optimised page opens with a direct, factual answer to its core topic in the first 50 words. Each section is self-contained, meaning a reader — or a machine — can understand it without reading everything that came before. It uses concrete numbers and named examples rather than vague claims. It avoids the filler phrases that pad word counts but dilute meaning. One client we worked with had a blog stuffed with posts that averaged 1,400 words but contained about 300 words of actual information. We rebuilt their content strategy from scratch, cutting post count by half and doubling specificity. AI citation rate went from near zero to measurable within two months. You can see how we think about this in our SEO and GEO service.
Does GEO replace SEO, or do they run alongside each other?
Right now, they run alongside each other — but the balance is shifting. Traditional search still drives significant traffic for most businesses, so abandoning SEO entirely would be a mistake. But the share of queries that get answered directly by AI, without the user ever clicking a link, is growing fast. If your content strategy is 100% SEO-focused, you're already losing ground in a channel that didn't meaningfully exist three years ago. The smarter approach is to build content that satisfies both — and that's actually achievable, because good GEO content tends to perform well on Google too. Factual, clear, well-structured writing is what both systems reward. The difference is in emphasis: SEO cares about what's on the page, GEO cares about what can be extracted from it. Our consulting work with growing businesses almost always surfaces this tension early.
What's the honest difficulty most businesses run into with GEO?
Here's the part most agencies won't tell you: GEO is harder to measure than SEO — at least right now. With SEO, you track rankings and clicks. With GEO, you're trying to track whether an AI mentioned you in a response that a user got in a chat window they never shared with you. Attribution is genuinely messy. We're not going to pretend otherwise. What we've seen at Nuclear Marmalade is that the leading indicators — direct traffic spikes, branded search increases, new leads who say "I heard about you from an AI" — do appear when GEO is working. But you won't get a clean dashboard that proves it the way Google Search Console proves SEO. If you need that level of certainty before investing, GEO might feel premature. If you're comfortable playing a longer game with emerging channels, it's worth building now — before your competitors figure it out. Our work on business intelligence tools has helped clients build proxies for measuring this kind of influence.
Key Takeaways
- GEO and SEO are not the same discipline. GEO optimises for AI citation, not page ranking — the mechanics, the content structure, and the success metrics are all different.
- Tactics that help you rank on Google (keyword repetition, preamble-heavy intros, vague claims) can actively hurt your AI citation rate.
- AI engines cite content that's specific, factually clear, and structured so the answer appears in the first sentence — not paragraph four.
- SEO and GEO can coexist in the same content, but you have to be deliberate about it. Good GEO writing tends to be good SEO writing, but the reverse isn't always true.
- Measurement is genuinely hard right now. Don't let anyone sell you a perfect GEO attribution dashboard — it doesn't exist yet. Build for the signal, not the proof.
If you're not sure where your content stands on either front, Nuclear Marmalade offers a straight-talking audit that looks at both. No jargon, no 40-slide decks — just a clear view of what's working, what isn't, and what to fix first. See how we approach this.