If your SEO strategy still revolves entirely around Google’s ten blue links, you may already be behind. Two new acronyms — AEO and GEO — have entered the digital marketing conversation, and unlike a lot of buzzwords, these point to a genuine shift in how people find information online.
Here’s what they actually mean, how they differ, and why they matter.
What SEO Was Built For?
Search Engine Optimisation (SEO) was designed for a specific kind of user behaviour: a person types a query into Google, scans a list of links, clicks one, and reads a webpage. The entire ecosystem of keywords, backlinks, meta descriptions, and page speed was engineered to win that click.
That model is eroding. AI assistants now answer questions directly. Voice devices speak answers aloud. Chatbots synthesise information from dozens of sources and deliver a single, confident response. The click, in many cases, never happens.
AEO and GEO are the frameworks being built to address this new reality.
AEO: Answer Engine Optimisation
Answer Engine Optimisation is the practice of structuring your content so that AI-powered answer engines — think Google’s AI Overviews, Bing Copilot, Perplexity, and voice assistants like Siri or Alexa — select your content as the source of their responses.
The term reflects a fundamental shift in how these platforms behave. They are no longer purely search engines that return a list of possible answers. They are answer engines that return a single, synthesised response. The competition is no longer just for a top-ten ranking. It’s for the answer itself.
How AEO works in practice
Structured, question-led content. AI systems are trained to find direct answers to direct questions. Content written around specific queries (“What is X?”, “How does Y work?”, “What’s the difference between A and B?”) is more likely to be extracted and cited.
Schema markup and structured data. Adding semantic markup — FAQ schema, HowTo schema, Article schema helps AI crawlers understand what a piece of content is about, not just what words it contains.
Authority and trustworthiness signals. Answer engines, especially those pulling from the web, tend to prefer sources they can verify as credible. E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) — a concept Google has long used internally — becomes even more important when an AI is deciding which single source to surface.
Concise, extractable answers. Long-form content still has value, but the section that gets cited is usually a tight, clear paragraph that directly answers the question. Think of it as writing for the snippet, not just the article.
Why AEO matters now
With Google’s AI Overviews appearing for a growing share of search queries, many websites are seeing traffic decline even when their rankings hold steady. The overview answers the question. Users don’t click. AEO is the discipline of getting into that overview or at least getting cited within it, rather than just appearing below it.
GEO: Generative Engine Optimisation
- AEO targets AI systems that still retrieve web content in real time and cite sources (like Perplexity, Bing Copilot, or Google’s AI Overviews). It’s about being found and cited.
- GEO targets AI systems whose knowledge is baked into their training data, or that use retrieval-augmented generation (RAG) to blend training knowledge with retrieved sources. It’s about being represented — whether or not a direct citation appears.
In practice, when someone asks ChatGPT, “What’s the best project management approach for remote teams?” and the model confidently describes a methodology your company pioneered, that’s GEO at work. Your content shaped the model’s understanding. No link was clicked. No citation was shown. But your thinking was in the room.
How GEO works in practice
Becoming a cited source in training and retrieval corpora. Content that appears on reputable, widely-indexed platforms, major publications, academic repositories, and well-established industry sites is more likely to influence model training and retrieval.
Writing in a style AI models find authoritative. The Princeton study found that content using confident, declarative language, citing statistics, and demonstrating original expertise tends to be incorporated more often than vague or heavily hedged writing.
Building brand presence across multiple sources. If your brand, product, or methodology is mentioned consistently across many independent sources, models are more likely to surface it when the topic is raised. This is sometimes called “share of model” — the AI equivalent of share of voice.
Producing genuinely novel insights. Models are trained to synthesise what’s known. Original research, proprietary data, unique frameworks, and fresh perspectives have a higher chance of being incorporated because they contribute something that wasn’t already in the corpus.
The Uncomfortable Truth About Both
Neither AEO nor GEO has fully mature measurement tools yet. Traditional SEO had a clear metric: rankings, traffic, conversions. AEO and GEO operate in environments where the “result” is often a synthesised paragraph with no click attached.
This creates a genuine challenge for ROI measurement. Marketers are experimenting with:
- Querying AI systems regularly with brand-relevant questions and tracking whether their content appears or is cited
- Using tools like Profound, Brandwatch, or emerging “AI visibility” platforms that attempt to track model mentions
- Monitoring referral traffic from AI-adjacent sources (Perplexity does send traffic; ChatGPT browsing does too, in limited ways)
The measurement problem will get solved over time — it always does. But for now, AEO and GEO require a degree of faith that good content, properly structured and widely distributed, will pay off even when the path from exposure to outcome is invisible.
What This Means for Content Strategy
The arrival of AEO and GEO doesn’t make traditional SEO irrelevant. Google’s standard search results still exist and still drive enormous traffic. But they do change the priorities of content creation in a few important ways:
Depth over breadth. A single authoritative, well-structured piece on a specific topic now has more AI value than ten thin articles chasing keyword variations.
Question-first thinking. Before writing anything, ask: what exact question is a person trying to answer? Structure the content around that question explicitly, not just implicitly.
Distribution matters more than ever. A great piece of content that lives only on your own domain has limited reach into AI training data. Syndication, guest publishing, PR, and community engagement all contribute to the cross-source presence that GEO rewards.
Trust signals compound. The more consistently your content is accurate, well-cited, and credible, the more AI systems — both retrieval-based and generative — are likely to surface it.
The Bottom Line
AEO and GEO are not the same thing, but they share a common premise: the people you most want to reach are increasingly getting their answers from AI, not from search result pages. If your content isn’t built to be understood, extracted, and represented by AI systems, you are invisible to a growing slice of your audience.
The fundamentals haven’t changed — expertise, clarity, and genuine usefulness still win. What’s changed is the audience for your content. You’re no longer writing only for humans scrolling a results page. You’re writing for the models that increasingly answer on behalf of the internet.
