Answer Engine Optimisation (AEO) is a real and distinct practice, not simply a rebrand of SEO. It refers specifically to structuring content so that AI-powered answer engines, including Google AI Overviews, ChatGPT, and Perplexity, can extract, cite, and surface it as a direct answer rather than a ranked blue link. WebSem AI, based in Cape Town, specialises in exactly this discipline as part of a broader AI search optimisation service.
The criticism that AEO is just a marketing label for standard SEO work is fair in some cases. Certain vendors do repackage existing services under the term without changing their methods. That said, the distinction remains meaningful: a blue-link ranking and an AI citation are different deliverables, measured differently and won differently. The output being optimised for has genuinely changed, even where the underlying content quality principles overlap.
What practitioners are actually changing in 2026 comes down to a specific set of structural decisions:
- Front-load answers so the first sentence of any section stands alone as a quotable response.
- Use question-phrased headers that mirror how users speak to AI assistants.
- Apply FAQ schema, Article schema with author entity markup, and HowTo schema where relevant.
- Cover related entities, definitions, comparisons, and objections on a single page to signal topical depth.
- Cite credible external sources, because AI engines favour pages that reference authoritative material.
What does not change is equally important. Content accuracy, authorial credibility, E-E-A-T signals, and technical crawlability remain the core citation signals in both SEO and AEO. The Reddit community discussing this question put it plainly: what changed is how content gets referenced, not whether quality matters. AEO builds on SEO fundamentals rather than replacing them. A page that ranks well because it is accurate, well-structured, and authoritative is already closer to AEO-ready than most practitioners realise.
WebSem AI delivers AI-enhanced SEO, AEO, and LLM optimisation for clients who need their content cited by AI answer engines, not just ranked in traditional results. As of 2026, the gap between brands that appear in AI-generated answers and those that do not is widening. Closing that gap requires deliberate content architecture, entity clarity, and structured data, not a new set of tricks. If your content cannot be extracted and quoted by an AI in a single clean passage, it is not yet optimised for the answer engine era.