- \n
- AEO<\/strong> means making content visible and usable for AI systems that deliver direct answers – such as Google AI Overviews, ChatGPT, Perplexity, Gemini and Copilot.<\/li>\n
- The decisive difference from classic SEO: you are no longer competing for a position<\/strong>, but for a mention<\/strong> in the AI answer.<\/li>\n
- AEO does not replace SEO, it builds on it. Solid SEO remains the foundation.<\/li>\n
- AI traffic is small in volume, but according to Ahrefs data it is an exceptionally well-converting channel.<\/li>\n
- Most companies are not yet optimising for it – a realistic head start is possible.<\/li>\n<\/ul>\n<\/div>\n
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The heart of the difference: AEO does not compete for rankings, but for mentions in the AI answer.<\/figcaption><\/figure>\n What is Answer Engine Optimization?<\/h2>\n
AEO – Answer Engine Optimization – is the practice of making your own content visible and useful for AI systems that deliver direct answers. This means all platforms where an AI generates an answer and decides which sources it names or cites:<\/p>\n
- \n
- Google AI Overviews<\/li>\n
- ChatGPT<\/li>\n
- Perplexity<\/li>\n
- Gemini<\/li>\n
- Copilot<\/li>\n<\/ul>\n
Several labels are circulating for the same discipline. You will also hear GEO<\/strong> (Generative Engine Optimization) or LLMO<\/strong> (Large Language Model Optimization). At their core they mean the same thing – the term AEO is used here as a representative.<\/p>\n
AEO versus classic SEO: position versus mention<\/h2>\n
The difference comes down to one point. In classic SEO you optimise web pages to appear higher in a list of search results. You compete for positions. The user sees your blue link, clicks, and lands on your page.<\/p>\n
With AEO that list no longer exists. The AI reads from dozens of sources, summarises, and decides whom it mentions or cites. So you are not competing for a position, but for a mention – and the rules for that differ from those for good rankings.<\/p>\n
The two models compared directly<\/h3>\n
\n\n
\n \nAspect<\/th>\n Classic SEO<\/th>\n AEO<\/th>\n<\/tr>\n<\/thead>\n \n Goal<\/td>\n High position in the results list<\/td>\n Mention or citation in the AI answer<\/td>\n<\/tr>\n \n Presentation<\/td>\n List of blue links<\/td>\n Synthesised answer from multiple sources<\/td>\n<\/tr>\n \n Competition<\/td>\n For a position<\/td>\n For a mention<\/td>\n<\/tr>\n \n User behaviour<\/td>\n Click on the link, visit the page<\/td>\n Answer is read directly in the interface<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n AEO does not replace SEO – it builds on it<\/h2>\n
Important for context: AEO does not make classic SEO obsolete. It is more of an extension. The image from the course: SEO is the foundation, AEO makes your online presence future-proof. The fundamentals still count:<\/p>\n
- \n
- High-quality content<\/li>\n
- Authority of the brand and domain<\/li>\n
- Technical health of the website<\/li>\n<\/ul>\n
What changes is the strategy – because the way people find information changes.<\/p>\n
Is SEO dying? The zero-sum fallacy<\/h2>\n
A common worry: will AI completely displace classic SEO? Here the course refers to the zero-sum bias<\/strong> described by Ethan Smith (Graphite) on the Ahrefs podcast – the cognitive distortion that something new can only rise if something old falls.<\/p>\n
The parallel example is the app store boom from 2010 onwards: back then people said the web was finished and mobile apps would take over everything. The apps did indeed grow strongly – but the web did not die, it kept growing alongside.<\/p><\/blockquote>\n
AI search is likely to play out similarly. It is growing fast, and the numbers behind it are real. But Google still processes billions of search queries per day, and classic organic traffic still generates considerable business value. The pragmatic conclusion is therefore not panic, but: play both games.<\/p>\n
Why the effort pays off: small channel, high conversion<\/h2>\n
The economically interesting point lies not in traffic volume, but in conversion. Ahrefs cites its own figures from June 2025: AI search then made up only around 0.5% of traffic<\/strong>, but was responsible for 12.1% of sign-ups<\/strong>. That corresponds to a roughly 23 times higher conversion rate compared to organic search.<\/p>\n
The message behind it is sober and useful at the same time: search is no longer only about clicks. A small, well-converting channel can be worth more to a company than a large one with weak conversion.<\/p>\n
On top of that: much of this is already happening unintentionally. Ahrefs reports that its own content and product pages were mentioned around 7,470 times across about 2,309 pages in AI search – entirely without targeted AEO measures, based solely on solid SEO work and useful content. Anyone who optimises deliberately has corresponding room to grow here.<\/p>\n
The roadmap: the four modules of the AEO course<\/h2>\n
Alongside this introduction, the course is structured into four modules. As an orientation on which topics the discipline covers:<\/p>\n
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- Module 1 – How AI search works:<\/strong> the mechanics behind it. How AI finds content, how it decides what is cited, how platforms like ChatGPT, Google AI Overviews and Perplexity differ – and what AI visibility looks like for different business models.<\/li>\n
- Module 2 – Strategy:<\/strong> why brand mentions are, according to the data presented, the strongest lever for AI visibility – stronger than backlinks or domain rating. Plus keyword research for AEO, prompt research and benchmarking against competitors.<\/li>\n
- Module 3 – Implementation:<\/strong> the actual work. Creating content that gets cited, winning mentions and citations from other sites, YouTube optimisation for AI visibility, and the technical side so that AI systems can find and crawl content at all.<\/li>\n
- Module 4 – Measurement:<\/strong> setting up analytics for AI traffic, running competitive audits to identify brand gaps, and assessing whether AEO is economically worthwhile for your own company.<\/li>\n<\/ul>\n
A central concept that follows in the next lesson is query fan-out<\/strong> – according to the course perhaps the most important idea for understanding why AI search works the way it does.<\/p>\n
Conclusion<\/h2>\n
Answer Engine Optimization is not a replacement for SEO, but its logical evolution. Anyone who wants to be mentioned in AI-generated answers still needs good content, authority and a technically clean website – but additionally has to understand that it is no longer only about positions, but about mentions. For SMEs the pragmatic recommendation is: do not panic, keep classic SEO going consistently, and start building visibility in AI answers in a targeted way alongside it. The channel is small today, but converts above average – and most competitors have not yet started.<\/p>\n
- Module 2 – Strategy:<\/strong> why brand mentions are, according to the data presented, the strongest lever for AI visibility – stronger than backlinks or domain rating. Plus keyword research for AEO, prompt research and benchmarking against competitors.<\/li>\n
- Module 1 – How AI search works:<\/strong> the mechanics behind it. How AI finds content, how it decides what is cited, how platforms like ChatGPT, Google AI Overviews and Perplexity differ – and what AI visibility looks like for different business models.<\/li>\n
- The decisive difference from classic SEO: you are no longer competing for a position<\/strong>, but for a mention<\/strong> in the AI answer.<\/li>\n