How people search for things online is going through its biggest shift since Google made the Yellow Pages irrelevant. AI powered search engines (ChatGPT with browsing, Perplexity, Google AI Overviews, Claude) are increasingly the first stop when people want answers. And these AI engines don't give you ten blue links to choose from. They give one synthesised answer, usually citing two or three sources.
If your website isn't one of those sources, you're invisible to a fast growing slice of your potential customers.
How AI Search Actually Differs from Google
Traditional Google search crawls pages, indexes them, and ranks them based on hundreds of factors like backlinks, keywords, and site speed. You search, you get a list, you click something.
AI search works differently at a fundamental level. Perplexity crawls the web in real time, synthesises information from multiple sources, and delivers a single answer with citations. ChatGPT with browsing searches when it needs current information, reads several pages, and generates a comprehensive response. Google AI Overviews pulls from Google's index but presents an AI generated summary above the traditional results. Claude draws from its training data and, when connected to tools, accesses current web information.
The critical difference? In traditional search, you compete for clicks among ten results. In AI search, you compete to be one of two or three cited sources, or you don't exist. This is why AI Engine Optimisation (AEO) matters so much for businesses that want to stay visible.
Implement Comprehensive Structured Data
Structured data is the foundation. It tells AI engines what your business does, where you operate, what you offer, and what customers think of you, all in a format machines can parse without guessing.
At minimum, get these schema.org types in place. LocalBusiness or Organization covers your business name, address, phone number, operating hours, service area, and description. Service schema describes each service you offer, with descriptions, pricing where applicable, and service areas. FAQPage is arguably the single most important schema for AI engines, because they pull directly from FAQ markup. A well built FAQ knowledge base hands AI engines exactly the question answer pairs they want. Article or BlogPosting covers your blog content with author, publication date, and topic categorisation. Review and AggregateRating captures customer reviews and average ratings. BreadcrumbList maps your site's navigation hierarchy.
Getting the Implementation Right
Use JSON LD format. Google recommends it, and AI engines prefer it. Place it in the <head> of each page. Validate everything with Google's Rich Results Test and Schema.org's validator. Fix errors immediately. AI engines may ignore poorly formatted structured data entirely, which means all that effort goes to waste.
Create Content That Establishes Authority
AI engines cite sources they consider authoritative. Authority comes from depth, accuracy, and breadth of coverage.
Forget isolated blog posts on random subjects. Build topical clusters instead. Pick your core topics, the areas where your business has genuine expertise, and create comprehensive content that covers every angle.
Say you're a Johannesburg based digital marketing agency. Your clusters might include web design (costs, trends, CMS comparisons, mobile optimisation, UX best practices), SEO (local SEO, technical SEO, content strategy, link building, AI search optimisation), and social media (platform strategies, content calendars, paid advertising, analytics).
Each cluster should have 8 to 15 interconnected articles. AI engines recognise this kind of depth. They're far more likely to cite a site with thorough topical coverage than one with scattered, surface level content. A blog content section is the vehicle for building this authority.
Format Content for AI Readability
Make it easy for AI engines to extract and cite your content. Use clear H2 and H3 headings that mirror the questions people ask. Write concise, definitive opening paragraphs under each heading, because AI engines frequently pull the first paragraph. Use lists and tables for data heavy sections. Define terms clearly using the "X is [definition]" format, which is highly citable. Include specific numbers and data with sources when possible.
Build Proper FAQ Pages
FAQ pages are gold for AI visibility. When someone asks ChatGPT a question, the AI hunts for sources that answer it directly. A well structured FAQ page with proper schema markup is about as close to a direct answer as you can get.
Build FAQ pages at multiple levels. General business FAQs covering pricing, process, service areas, and turnaround times. Service specific FAQs with detailed questions about each individual service. Industry FAQs addressing common questions people have about your industry broadly, not just your business.
Each answer should be comprehensive but tight, around 100 to 300 words, directly addressing the question, no padding. For more on building solid SEO foundations, see our guide on SEO for South African businesses.
Strengthen Your E E A T Signals
Experience, Expertise, Authoritativeness, and Trustworthiness. These signals matter enormously for AI citation.
Share case studies, project portfolios, real world examples. "We've built over 200 websites for SA businesses" tells AI engines, and humans, more than any generic claim about quality.
Author bios should include actual credentials. Detailed "About" pages matter. Content should clearly come from someone who knows the subject deeply, not from someone who Googled it five minutes ago.
Earn mentions and backlinks from recognised SA publications and industry bodies. Citations from BusinessTech, News24, or professional associations reinforce your authority across the board. Display reviews, testimonials, security certificates, professional memberships, and clear contact information. AI engines cross reference trust signals from multiple sources across the web.
Nail the Technical Foundations
Content and structured data are the main event, but technical factors play a supporting role that you can't ignore. Fast loading pages get crawled and indexed more thoroughly. Your site must render properly on phones, no exceptions in 2026. Descriptive, readable URLs help AI parse page content. Keep your XML sitemap current and comprehensive so crawlers find everything. And make sure you haven't accidentally blocked AI crawlers. Some businesses have unknowingly blocked GPTBot or PerplexityBot, effectively making themselves invisible to those platforms.
At Horizon Labs, every website we build includes these technical foundations, ensuring your site is visible not just to Google but to the next generation of AI powered search engines.
Tracking Your AI Visibility
Unlike traditional SEO where Google Search Console gives you neat dashboards, monitoring AI visibility is newer and less standardised. But you have options. Test queries manually in ChatGPT, Perplexity, and Google AI Overviews by searching for things your customers would ask and checking whether you get cited. Track referral traffic from AI sources in Google Analytics, since Perplexity citations generate trackable referrals. Monitor brand mentions with Google Alerts or tools like Mention. Review structured data monthly to catch any schema errors that may have crept in during site updates.
AI search visibility isn't a project you tick off a list. It's an ongoing practice. Start with structured data and FAQ pages. Build your content clusters over time. Keep checking whether AI engines cite your site. The businesses investing in this now will own their categories, and those that wait will find the gap increasingly difficult to close.