The way people search for information online is changing, and websites need to change with it. For more than two decades, search engine optimisation has largely focused on helping websites become visible on Google and other traditional search engines. Businesses researched keywords, created landing pages, built links, improved their technical SEO and competed for positions on search engine results pages.
Those fundamentals still matter, but search is becoming much broader than Google rankings alone.
Today, people are increasingly turning to ChatGPT, Gemini and other AI-powered search experiences when they want information. Instead of typing a few keywords and opening several websites, users can ask a detailed question and receive an immediate answer that brings information from different sources together.
This changes the search journey considerably. It also introduces an important question for businesses: when an AI system is looking for information about your industry, products or services, does it understand your website well enough to use it as a source?
That is ultimately what optimisation for AI search is about.
SEO Is Still the Foundation
There has been a lot of discussion about whether artificial intelligence will eventually replace SEO. I don’t believe that is the right way to look at what is happening.
SEO is not disappearing. It is evolving alongside search.
AI systems still need information. They need websites, articles, research, product information, reviews, documentation and other reliable sources to help them understand subjects and answer questions.
This means many of the things we have been doing in SEO remain important. Websites still need to be crawlable. Pages need clear titles and headings. Internal linking needs to make sense. Content needs to answer search intent. Websites need to perform well technically, and businesses still need to establish authority around the subjects they want to be known for.
What has changed is what happens after that information is discovered.
Traditional search might present a user with several websites and allow them to decide which result provides the best answer. AI search can potentially analyse information from several sources, combine what it finds and present a single response.
For businesses, the objective therefore expands beyond simply asking, “Can we rank for this keyword?”
We should also be asking, “Is our content good enough to become part of the answer?”
Your Website Needs to Be Easy to Understand
One of the most important parts of AI search optimisation is surprisingly unexciting: your website needs to make sense.
A website with poor navigation, duplicated pages, confusing categories and important information buried inside complicated elements is difficult for users to navigate. It can also make it harder for search systems to understand the relationship between different pieces of content.
Your website should have a logical structure that clearly communicates what your business does and how different topics relate to one another.
For example, a digital agency might have a main SEO services page supported by individual pages covering technical SEO, local SEO, ecommerce SEO, content optimisation and SEO audits. Those pages can then connect to useful articles answering common questions within each area.
This creates a clear information ecosystem.
Instead of having hundreds of disconnected pages targeting random keywords, the website begins building identifiable areas of expertise.
Stop Creating Content Just Because a Keyword Has Search Volume
AI search should force businesses to reconsider the way they approach content creation.
For years, parts of the SEO industry became obsessed with search volume. If a keyword received enough searches, businesses created an article for it. This resulted in the internet becoming flooded with slightly different versions of exactly the same information.
We have all seen them.
An article titled “10 Benefits of Digital Marketing” is followed by another called “7 Reasons Your Business Needs Digital Marketing,” which is followed by another explaining “Why Digital Marketing Is Important in 2026.”
They often say exactly the same thing.
Artificial intelligence makes this type of generic content even less valuable because AI systems are exceptionally good at summarising information that already exists in thousands of places.
Businesses therefore need to start asking a much better question before creating content: what are we adding to the conversation?
The answer might be original research, first-hand experience, industry data, customer insights, expert commentary, case studies, experiments, product testing or simply a genuinely useful explanation based on years of experience.
The important thing is that your website contributes something meaningful rather than simply rewriting what everybody else has already published.
Write for Questions, Not Only Keywords
The rise of conversational search also changes the way people express their intentions.
Someone using traditional Google search might type “website cost South Africa.” The same person using ChatGPT might ask, “How much should I realistically budget for a professional website for a small business in South Africa?”
The intention is similar, but the second query contains far more context.
This is why keyword research should increasingly be supported by question research and intent analysis.
If you run a website design company, it is no longer enough to create one page optimised for “website design South Africa.” Your website should become a useful source of information around the entire decision someone is trying to make.
You might explain how much websites cost, what should be included in a website quotation, how long a website takes to build, whether WordPress or Shopify is more appropriate, what ongoing costs businesses should expect and what a client should own after a website has been completed.
When these pieces of content are connected properly, you are no longer chasing individual keywords. You are building topical authority.
Give People Clear Answers
There is another habit websites need to leave behind: taking 800 words to answer a question that could have been answered in two sentences.
If someone asks what technical SEO is, tell them what technical SEO is.
A good page might begin by explaining that technical SEO involves improving the technical structure of a website so that search engines can efficiently crawl, understand and index its content. The article can then expand into crawling, indexing, site speed, structured data, canonicalisation, JavaScript and other technical considerations.
This approach works because the reader gets an immediate answer while still having access to deeper information.
It also makes the structure and meaning of the content much clearer.
Writing clearly does not mean oversimplifying complicated subjects. It means making complicated subjects easier to understand.
Build Real Expertise Around Your Subject
A strong website should feel less like a collection of landing pages and more like a knowledge centre around the subjects the business understands.
Consider a skincare retailer. Instead of creating isolated articles about popular skincare keywords, the website could develop comprehensive information around skin concerns, ingredients, routines, product categories and treatments.
An acne guide might connect to information about salicylic acid, niacinamide and retinoids. Those pages could connect to relevant product categories, routines and expert advice.
This creates depth.
The website begins demonstrating that it understands the relationship between different concepts within skincare rather than simply mentioning them repeatedly.
This is useful for search engines, AI systems and, most importantly, actual customers.
Trust Is Going to Matter Even More
There is already an enormous amount of information online, and generative AI has made producing more of it incredibly easy.
The challenge is increasingly going to be determining which information deserves to be trusted.
Businesses should therefore make it clear who is responsible for the information published on their websites.
Where appropriate, articles should have identifiable authors. Author biographies should explain relevant experience or expertise. Important claims should be supported by credible sources. Content should have accurate publication and update dates, and businesses should maintain clear About and Contact pages.
This becomes particularly important for topics involving health, finance, legal matters and other areas where incorrect information can have serious consequences.
Authority is not created by adding the word “expert” to an author biography. It is demonstrated through the quality, accuracy and consistency of the information you publish.
Make Your Business Easy for Machines and Humans to Understand
Many websites make a surprisingly simple mistake: they never clearly explain what the business actually does.
Their homepage says things like, “Transforming tomorrow through innovative digital solutions.”
That sounds impressive until you realise nobody knows what it means.
If you design websites for small businesses, say that. If you sell skincare products, say that. If you provide accounting services to South African SMEs, say that.
Your website should clearly communicate your business name, services, products, location, areas served and the type of customers you help.
This creates what we can think of as entity clarity. Search systems should be able to understand that your business exists, what it does and how it relates to particular topics, products, services and locations.
Clear language is therefore not boring. It is useful.
Structured Data Still Has a Role
Structured data remains an important part of helping search engines understand website content.
Appropriate schema can provide additional context around organisations, products, articles, events, reviews and other types of information.
However, businesses should be careful not to treat structured data as a shortcut to AI visibility.
There is no magical piece of AI schema that suddenly makes ChatGPT or Gemini recommend your website.
Structured data should accurately represent information that genuinely exists on the page. It is part of making your website easier for machines to understand, but it cannot compensate for weak content.
Good technical implementation supports good information. It does not replace it.
Keep Your Information Accurate
Being discoverable is pointless if the information being discovered is wrong.
Businesses should regularly review important pages and update outdated prices, product specifications, statistics, policies, service information, opening hours and other information that can change over time.
This is particularly important when publishing evergreen articles.
A guide written three years ago might still attract traffic, but if half of its recommendations are outdated, it is no longer a particularly good source.
Updating content should mean improving the actual information, not simply changing the publication date and pretending an old article is new.
Ecommerce Websites Need Especially Clean Product Data
AI-powered search could become particularly significant for ecommerce.
People can increasingly use conversational interfaces to research products, compare options and narrow down purchasing decisions before visiting a retailer.
That makes accurate product information extremely important.
Product names, descriptions, categories, prices, availability, specifications, images, reviews and structured product data should all be maintained carefully.
Product descriptions should also contain useful information rather than simply repeating manufacturer marketing copy.
If somebody asks an AI assistant to recommend a moisturiser for dry skin under a certain price, for example, the system needs to understand which products are moisturisers, what they are designed for, how much they cost and whether they are available.
Clean product data becomes part of your search strategy.
Create Content That Is Worth Citing
Perhaps the simplest way to think about AI search optimisation is to ask yourself one question before publishing anything:
Why would an AI system use this page as a source?
If your article says exactly what fifty other websites already say, there is very little reason for it to stand out.
But perhaps your company has analysed three years of customer search behaviour. Maybe you have tested several products yourself. Perhaps you have completed hundreds of projects and can explain common mistakes customers make. Maybe you have original research, local knowledge or practical experience that isn’t available elsewhere.
That is valuable.
AI is making it easier than ever to create content. Ironically, that means simply creating content is becoming less impressive.
The value is moving towards experience, originality, evidence and insight.
Don’t Abandon User Experience While Chasing AI
There is one more thing worth remembering.
Your website ultimately exists for people.
It is easy to become so focused on optimising content for algorithms, crawlers and AI systems that you forget about the person who eventually arrives on the page.
A website should still be fast, accessible, easy to navigate and pleasant to use. Information should be easy to scan. Buttons should work. Forms should not be painful to complete. Product pages should make purchasing decisions easier rather than harder.
AI might help somebody discover your business.
Your website still has to convince them to stay.
This is where SEO, UX and conversion optimisation continue to work together.
AI Search Is an Evolution of Search, Not the End of It
There will be plenty of new terminology around AI search. We already have GEO, AEO, LLM optimisation and several other names competing for attention.
Some of these concepts are useful because they help us think differently about how information is discovered and presented.
But businesses should be careful not to become distracted by terminology.
The fundamentals remain surprisingly sensible.
Create a technically sound website. Make your business easy to understand. Publish genuinely useful information. Answer real questions. Build expertise around your subject. Support important claims. Keep information accurate. Structure your content properly and provide a good experience when people arrive.
The biggest shift is that we are no longer optimising exclusively for a list of search results.
We are increasingly optimising for an environment where machines can retrieve, understand, compare and summarise information before presenting it to the user.
That makes the quality of the information behind your website more important, not less.
The Future of Search Still Needs Good Websites
There is a strange contradiction in all the discussion about AI replacing websites.
AI search cannot be useful without good information to work with.
Businesses, publishers, researchers, governments, retailers, universities, experts and ordinary people continue to create the information that gives search systems something to discover and understand.
The opportunity for website owners is therefore not to find some secret trick that forces ChatGPT or Gemini to mention their brand.
The opportunity is to build a website that deserves to be used as a source.
Make your website technically accessible. Build genuine authority around your subject. Publish information based on experience and evidence. Answer the questions your customers are actually asking and make those answers easy to understand.
SEO still matters. Content strategy still matters. User experience still matters. Authority still matters.
AI simply adds another layer to how all of that information is discovered.
And whether somebody finds your business through Google, ChatGPT, Gemini or whatever comes next, the principle remains the same:
Create something worth finding.