Over the past year, there has been no shortage of headlines declaring that “SEO is dead” or that businesses should stop worrying about Google and start optimising for ChatGPT instead. It’s an understandable conclusion to reach when millions of people are now asking AI assistants questions they would once have typed into a search engine. But while the way people search is undoubtedly changing, the fundamentals of being found online remain remarkably familiar.
The reality is that SEO is not dea, it’s evolving.
Today’s customers don’t just search for “accountants near me” or “best kitchen fitter”. Increasingly, they’re asking conversational questions such as “Who are the best accountants for small businesses?” or “Can you recommend a reliable kitchen company in my area?” Rather than returning a page of links, AI platforms such as ChatGPT, Google’s AI Overviews, Gemini, Claude and Perplexity aim to provide a direct answer, often mentioning a handful of businesses that appear to be the most relevant and trustworthy.
This naturally leads to a new question for business owners: how does AI decide which businesses to recommend?
Traditional Search vs AI Search
To understand what’s changing, it’s helpful to understand how traditional search engines have always worked.
Google’s search engine is designed to rank web pages. It analyses hundreds of signals, including the relevance of your content, the authority of your website, backlinks from other sites, page speed, mobile usability, structured data and user experience to determine which pages best answer a user’s search query. The result is a ranked list of websites, with the goal for most businesses being to appear as high up that list as possible.
AI systems approach the problem differently.
Rather than trying to rank pages, they try to answer questions. Most modern AI assistants don’t simply rely on information stored within the language model itself. Instead, many use a technique known as Retrieval-Augmented Generation (RAG), where the AI first retrieves relevant information from trusted sources, often through a search engine or index and then generates a conversational response based on that information. Google’s own documentation explains that its AI search experiences build upon the same systems that power traditional Google Search. They are not separate search engines with entirely different rules.
In other words, AI hasn’t replaced search; it has built upon it.
From Keywords to Credibility
One of the biggest shifts is that AI is generally less interested in individual keywords and more interested in understanding whether your business genuinely deserves to be recommended.
In the past, businesses often focused heavily on targeting exact search phrases. While keyword relevance still matters, AI is trying to answer broader questions. If someone asks, “Who are the leading renewable energy consultants in the UK?” or “Which accounting firms specialise in family businesses?”, the AI isn’t simply looking for a webpage containing those exact words. Instead, it’s attempting to determine which organisations demonstrate genuine expertise, authority and trustworthiness in that subject area.
That distinction is important because it changes the focus from trying to optimise individual pages to building an overall reputation online.
What Signals Does AI Look For?
Although companies such as OpenAI, Google and Anthropic do not publish detailed ranking formulas, there is growing consensus about the kinds of information AI systems value.
Clear, well-structured websites remain essential. If your business doesn’t clearly explain what it does, who it serves and how it helps customers, neither people nor AI systems will easily understand it. AI also places considerable value on consistency. Your website, Google Business Profile, LinkedIn page, trade directories and other online profiles should all describe your business in a consistent way. Conflicting information reduces confidence, both for customers and for AI systems attempting to summarise your business accurately.
Just as importantly, AI appears to favour businesses that demonstrate expertise rather than simply promote themselves. Detailed service pages, informative articles, frequently asked questions, case studies and educational resources all help establish authority within a particular subject area. Instead of telling people you’re an expert, you’re showing them.
External validation also plays an increasingly important role. Reviews, industry awards, professional memberships, news coverage, conference appearances and mentions on respected third-party websites all contribute to a business’s digital reputation. AI systems are designed to look beyond what a company says about itself and consider what other credible sources say as well.
Does This Mean SEO Still Matters?
Absolutely.
In fact, Google has been particularly clear on this point. The company advises that businesses should continue following the same guidance that has long been recommended for Search, explaining that there are no special optimisations required for AI search experiences beyond creating helpful, reliable, people-first content.
Many of the technical elements of SEO, such as fast loading pages, clear site architecture, descriptive headings, internal linking and mobile-friendly design remain important because they help search engines understand and access your content in the first place. AI systems frequently rely on those same search indexes to retrieve information before generating answers.
Far from replacing SEO, AI builds upon its foundations.
So What Should Businesses Be Doing?
The encouraging news is that businesses don’t need to reinvent their digital marketing strategy overnight.
Instead, they should focus on becoming easier to understand, easier to trust and more useful to their audience. That means publishing content that answers genuine customer questions rather than simply promoting products. It means keeping information consistent across every online platform. It means collecting authentic customer reviews, publishing real case studies, demonstrating expertise through articles or videos and ensuring that the website itself is technically sound.
Rather than asking, “How do I optimise for AI?”, a more useful question might be, “How do I become the business that AI naturally wants to recommend?”
That subtle change in mindset leads to much better long-term decisions.
Can Business Owners Do This Themselves?
For many small businesses, the answer is yes.
The principles themselves are not especially complicated. Most business owners can improve their online visibility by regularly updating their website, answering common customer questions, encouraging reviews and keeping their business information accurate across the web.
Where professional support often becomes valuable is not because AI is impossibly complex, but because consistency takes time. Producing high-quality content, maintaining technical SEO, monitoring performance and continually refining a digital presence requires ongoing effort that many business owners simply don’t have alongside running their business.
For companies operating in highly competitive sectors, experienced SEO or digital marketing professionals can also help identify opportunities, avoid technical issues and ensure that content is aligned with how modern search systems discover and interpret information.
The Bottom Line
Despite the dramatic headlines, the rise of AI doesn’t mark the end of SEO – it marks the next stage in its evolution.
Businesses are no longer optimising solely for algorithms that rank web pages. They’re increasingly building a digital presence that demonstrates expertise, authority and trustworthiness to systems designed to answer questions on behalf of users.
The encouraging part is that there are no secret tricks.
Businesses that create genuinely helpful content, clearly explain what they do, maintain a technically sound website and build a strong reputation beyond their own marketing channels are the businesses most likely to succeed, not only in traditional search results, but also in the AI-powered experiences that are rapidly becoming part of everyday life.
In many ways, AI isn’t rewriting the rules at all. It’s simply rewarding businesses that have been following the right ones all along.

