AEO: How to Optimise for AI-Driven Search in 2026

Last Updated on July 23, 2026 by Justin Sandler

Search behaviour has shifted faster in the past two years than at any comparable point in the previous decade. A growing share of users now ask full questions to AI assistants, speak queries into their phones while driving, and read the AI-generated summary at the top of the page without clicking a single link. That shift has created a new discipline called Answer Engine Optimisation (AEO, in this article, the practice of structuring content for AI-powered answer systems, not the customs-related Authorised Economic Operator designation). Businesses that haven’t heard of it yet are already losing visibility they don’t know is gone.

At Kaomi, we’ve been watching this transition closely. As a digital performance marketing agency, we started building AEO principles into our SEO strategies well before most businesses had heard the term. The signals were there: AI Overviews expanding across more queries, voice search becoming increasingly common on mobile, and conversational AI tools like ChatGPT and Perplexity drawing a growing number of users away from traditional search engines for everyday research. What follows is everything you need to understand about Answer Engine Optimisation in 2026, why it matters for your business, and exactly what to do about it.

What AEO actually means (and why it matters now)

Defining Answer Engine Optimisation clearly

Answer Engine Optimisation is the practice of structuring and formatting content so that AI-powered answer systems can extract it, trust it, and cite it directly in a response. The platforms doing this include Google AI Overviews, ChatGPT, Perplexity, Siri, and Alexa. Unlike traditional SEO, which targets a ranked position on a results page, AEO targets the answer itself. The goal is to become the source the AI reads aloud, quotes, or surfaces inside a generated summary.

This is a meaningful distinction. In SEO, success looks like appearing on page one. In AEO, success looks like being the information inside the response, the kind that never sends users to a results page at all. The success metric shifts from rankings and click-through rates to AI citations, mentions, and visibility within answer blocks.

Why 2026 is the tipping point

AI Overviews now appear for a significant share of Google searches, and the effect on organic traffic is measurable. Research from Seer Interactive found that informational queries with AI Overviews present saw organic click-through rates drop from 1.76% to 0.61%, a 61% decline. Separate 2026 studies tracking multiple sites report average organic CTR reductions of around 18% when AI Overviews are present, with the sharpest losses at position one.

Voice search has added further pressure. Spoken queries average around 29 words and follow natural question patterns, which means they bypass the traditional keyword-matching model entirely. Combined with conversational AI tools becoming everyday research instruments, a substantial portion of search queries now resolves without anyone visiting a website. A business invisible to AI answer engines is losing discoverability, and many of them may not realise it yet.

How AI search has changed the way people find information

Zero-click searches and the AI Overview effect

A zero-click search is exactly what it sounds like: the user gets a complete answer on the results page and never visits a website. Google AI Overviews have accelerated this pattern dramatically, especially for informational, top-of-funnel queries. For businesses that have built their content strategy around capturing organic traffic from information-seeking users, this is a significant problem. Ranking on page one no longer guarantees traffic the way it once did.

The new currency is being cited or surfaced inside the answer block itself. Emerging research into AI Overview behaviour suggests that when a site is cited inside an AI Overview, it often receives more qualified clicks than a standard blue-link result would, even if total click volume falls. The clicks that come through tend to be higher-intent. The strategy, then, is not just to rank, but to be selected as the source the AI trusts.

Voice search and conversational query patterns

Voice search queries are structurally different from typed keywords. A user searching by typing might enter “lead generation South Africa.” The same user searching by voice asks: “What’s the best way to get more leads for my small business in South Africa?” The intent is identical, but the query structure is completely different, and AI engines are designed to answer the spoken version.

AEO-ready content anticipates these conversational patterns and answers them directly. When an AI assembles a spoken or written response, it scans for content that mirrors the structure of the question and delivers a clear, concise answer at the top. Content that buries the answer three paragraphs deep rarely makes the cut, regardless of how well it ranks in traditional search.

AEO vs SEO: what’s different and what still applies

Where the two disciplines diverge

SEO prioritises relevance signals, backlink authority, and keyword presence to rank pages in a list. AEO prioritises clarity, authority, and answer-structure to get content selected by an AI engine. The ranking mechanism, success metric, and content format that performs best all differ meaningfully. In SEO, a long, comprehensive guide might outperform a shorter page. In AEO, a page that leads with a direct, clearly structured answer often outperforms a longer one that takes too long to get to the point.

Measurement also shifts. SEO is tracked through rankings, organic traffic, and conversion rates. AEO adds new metrics: AI citations, appearances in answer results, and visibility inside generated summaries. These are harder to track with traditional tools, but they’re becoming the leading indicators of search presence for informational queries.

What SEO groundwork AEO still depends on

AEO does not replace SEO. It builds on top of it. For a deeper look at the interplay between these disciplines, see our guide SEO, AEO, GEO, Kaomi. A site with poor technical health, thin authority, and weak trust signals won’t be selected by AI engines any more than it ranks on page one. Strong SEO fundamentals, site structure, crawlability, domain authority, and quality backlinks, remain the foundation. AEO adds a layer on top: how content is structured, how directly it answers questions, and how clearly it signals expertise and trustworthiness.

Google has confirmed that AI Overviews draw from top web results. That means the same domain authority and credibility signals that drive traditional rankings also influence AI answer selection. For more on how Google’s AI-driven results affect businesses, read our analysis at What Does Google’s AI-driven Search Mean For Your Business?, Kaomi. Businesses should think of AEO as the next evolution of SEO strategy, not a replacement for the work already done.

Core AEO strategies that earn a place in AI answers

Structured data and schema markup

AI engines parse structured data to understand what a page is about and extract specific information efficiently. Implementing schema markup for FAQs, articles, how-to content, and business information makes content machine-readable in a way that AI answer engines actively favour. FAQPage schema is particularly effective because it exposes concise question-and-answer pairs that AI can extract directly, here’s a minimal JSON-LD example:

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "What is Answer Engine Optimisation?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Answer Engine Optimisation (AEO) is the practice of structuring content so AI-powered systems can extract, trust, and cite it in a direct response."
    }
  }]
}

HowTo schema works well for step-by-step content, while Article and Organization schema reinforce authorship and entity clarity. JSON-LD is the most widely supported and recommended implementation format. The key rule with schema is straightforward: only mark up what’s actually on the page. Irrelevant or inflated markup can hurt trust and may violate search guidelines. Focus on the schema types that genuinely reflect your content, and implement them consistently across high-priority pages.

Question-based content and direct answer formatting

AI engines are designed to answer questions, so content that mirrors that structure performs best. The practical format is simple: use the question as a heading, answer it directly in the first two sentences beneath it, then expand with supporting context. Avoid burying the answer after a long preamble. Concise, direct answers to specific questions are the raw material AI engines pull from when assembling a response.

FAQ sections deserve special attention. Structuring five to ten commonly asked questions on each key service or product page, each with a tight two-to-three sentence answer, gives AI engines multiple extraction opportunities from a single page. Based on Kaomi’s own content audits, this is one of the most cost-effective AEO tactics available, and it improves the page experience for human readers at the same time. For practical writing advice that complements this approach, see our guide on Writing for SEO | Tips for Optimising Content | Kaomi Marketing.

E-E-A-T signals and demonstrable expertise

Google’s E-E-A-T framework, Experience, Expertise, Authoritativeness, and Trustworthiness, directly influences what AI search surfaces. Content from credible authors, brands with established authority in their domain, and pages that demonstrate real-world experience consistently outperform generic content in AI answer selection. Trustworthiness is treated as the most critical element: content that is accurate, transparent, and supported by reputable signals is what AI systems are built to favour. For a useful primer on the E-A-T concept, see this overview on what E-A-T means for content.

For South African businesses, this means building a content presence that signals genuine industry knowledge, not just keyword volume. Author bios, consistent publishing on a clearly defined topic area, accurate business information, and content that reflects firsthand experience all contribute to E-E-A-T. These are not new ideas, but their weight in determining AI answer selection makes them more important than ever.

How Kaomi builds AEO into its SEO strategy

A forward-thinking approach to search visibility

At Kaomi, the shift toward AI-driven search wasn’t a surprise. It was a logical progression we saw coming and started preparing for. Rather than treating AEO as a separate service bolt-on, we integrate answer engine principles directly into our SEO strategy work: structuring content for AI readability, implementing schema markup as standard practice, and advising clients on the types of content that AI engines consistently favour. The goal is always the same: search visibility that survives the next algorithm shift, not just the last one.

This approach matters especially for South African businesses competing in a market where online visibility is increasingly determined by who gets cited in AI answers, not just who ranks highest on a results page. Every content recommendation and technical audit we deliver is evaluated not just for traditional search performance, but for how it positions a brand to be trusted and surfaced by AI answer engines. Industry coverage of Answer Engine Optimization trends helps underline why this work matters.

Futureproofing client visibility in a changing search landscape

Businesses that invest in AEO-readiness now are more likely to maintain organic visibility over the next three to five years, while competitors still focused on pure keyword tactics lose ground. The data points in one direction: organic CTR from informational queries is declining, zero-click searches are increasing, and the share of queries resolved by AI systems continues to grow. Waiting for this to become the obvious consensus before acting means conceding ground that’s very hard to recover.

Kaomi’s approach to SEO strategy is built around that reality. Whether we’re working with a South African SME growing its online presence, an e-commerce brand looking to drive more qualified traffic, or an agency partner under a white-label arrangement, the same principles apply: be the clearest, most trustworthy answer source in your niche, and make sure the technical infrastructure lets AI engines see it that way. Recent analysis of how Google AI Overviews impact click behaviour reinforces this urgency.

How to start optimising for AI search today

Audit your existing content for answer-readiness

Start by identifying your most visited pages and checking whether they directly answer the questions your audience is searching for. Are questions used as headings? Are answers given in the first two sentences, or buried after a long introduction? Is structured data implemented? This quick audit typically reveals significant gaps that are relatively straightforward to fix. Many audits uncover that the best-performing pages are well-optimised for ranking but poorly structured for AI extraction, a pattern Kaomi sees consistently across client reviews.

Pay particular attention to service pages and blog posts targeting informational queries. These are the pages most likely to appear in AI Overview territory, and they’re also the pages most likely to be losing traffic to zero-click behaviour right now. Fixing the structure on these pages has a direct impact on both AI answer selection and the quality of traffic that does still click through. For up-to-date figures on the growth of zero-click behaviour, consult these zero-click search statistics.

First practical steps toward AEO-ready content

Three priority actions will move the needle quickly. First, add FAQPage schema to your key service and product pages, covering the five to ten questions your audience most commonly asks. Second, reformat at least five existing high-traffic articles to lead with a clear question-and-answer structure rather than a lengthy preamble. Third, begin tracking your appearance in AI Overviews using Google Search Console alongside any available third-party tools that monitor AI citation visibility.

AEO is not a one-time project. It’s an ongoing content standard that evolves as AI search systems evolve. Starting with a handful of high-priority pages and building from there is far more effective than trying to overhaul everything at once. The goal is to establish the habit and the formatting standard, then apply it consistently across new and existing content.

The window to act is open now

Answer Engine Optimisation is not a replacement for the SEO strategies that have driven search visibility for the past decade. It’s what those strategies need to evolve into. A growing volume of searches now resolves inside AI-generated answers, and the businesses being cited in those responses are earning top-of-funnel visibility that paid campaigns address differently- not a substitute, but a distinct and compounding source of discoverability. The brands getting selected are the ones that structured their content for this moment before it became obvious.

The opportunity is real, and moving early carries a meaningful competitive advantage. If your current digital strategy doesn’t account for how AI engines select and surface answers, now is the time to close that gap, before your competitors do. Start with a content audit, apply the formatting principles, and build from there. Whether you do that independently or bring in Kaomi to integrate AEO into your broader search strategy, the direction is clear.