How AI Search is Changing SEO

Overview

Artificial intelligence (AI) has created one of the biggest conversations in search engine optimisation (SEO) in many years.

AI Search, Google AI Overviews, ChatGPT and other AI-powered search experiences have led many organisations to question whether established SEO practices still matter or whether entirely new approaches are needed.

This guide explores how AI Search is changing SEO, what that means for organisations and where they should focus next.

Search engine optimisation is changing again

SEO has never stood still. As search engines have become better at understanding language and people’s questions, what matters most has gradually changed too.

AI Search is just the latest part of that story. The question isn’t whether SEO still matters, because it does. It’s understanding what has changed, what hasn’t and where organisations should focus next.

For a long time, search engine optimisation focused on helping people discover websites through traditional search results. Someone searched for information, compared several webpages and chose the result that seemed most useful. For many searches, that’s still exactly what happens.

Today, people may receive an AI-generated response before deciding whether they need to visit a website at all. Platforms such as Google AI Overviews, ChatGPT, Perplexity and Microsoft Copilot can bring together information from multiple sources, helping people answer questions or continue researching before they click through to an individual website.

That naturally raises new questions for organisations responsible for their websites. Has SEO become less important? Should websites now be optimised differently? Are traditional techniques beginning to lose their value?

Much of what has helped organisations succeed in search over the past two decades still matters. What is changing is how people discover information, and how search engines and AI present it.

The questions organisations are asking

As AI Search becomes more familiar, organisations are asking new questions about SEO while revisiting some older ones. Some reflect genuine changes in how people discover information online. Others arise from uncertainty about what AI means for search more broadly.

SEO has always adapted

Discussions about AI Search sometimes give the impression that SEO has remained largely unchanged until the advent of AI. That has never really been the case.

Search engines have continually improved their ability to understand information and SEO has changed alongside them. Different aspects have received more attention over time, but the underlying goal has remained generally consistent: helping people discover useful information while helping search engines understand what a website offers.

Every major development has prompted questions about whether established advice still applied. Mobile devices, voice search, Core Web Vitals and countless Google updates all led to predictions that SEO would need to be completely reinvented.

In practice, those developments usually changed where organisations focused their attention rather than replacing the underlying principles altogether. AI Search appears to be following a similar roadmap.

Understanding what has changed is important. Equally important is recognising how much good SEO continues to support search visibility today.

What AI Search changes

Much of the discussion surrounding AI Search focuses on the technology itself. For most organisations, however, the more important question is much simpler. How does it change the way people find information?

The search journey was relatively familiar for many years. Someone entered a search query, compared a selection of webpages and chose the sources they felt were most likely to answer their question.

Today, people may receive an AI-generated response before deciding whether they need to visit a website at all. That response may answer a simple question immediately or encourage someone to continue researching before exploring the original sources in more detail.

That changes how information is discovered, but it doesn’t change where that information comes from.

Behind every useful AI-generated answer is knowledge that somebody has taken the time to publish. Organisations still need websites that explain their services, demonstrate expertise and provide accurate, trustworthy information.

AI systems don’t create authoritative information on their own. They rely on organisations publishing accurate, accessible and well-maintained information that they can reference with confidence.

Someone researching accessibility, for example, might first receive an AI-generated explanation before deciding they need a specialist accessibility audit. A prospective student may compare universities after using AI to understand different courses. A housing association may use AI to research approaches to tenant engagement before exploring detailed guidance from individual organisations.

In each case, the website still provides everything people need when they’re ready to explore further. AI may influence how people discover an organisation, but it doesn’t change why they eventually visit its website.

If you’d like to understand the wider role AI Search plays within modern search engines, our guide to AI Search & Website Visibility explores this in more detail.

Visibility begins before the website visit

What hasn’t changed

With so much attention focused on AI Search, it’s understandable that organisations are beginning to look for entirely new optimisation techniques.

In practice, many of the qualities that have supported good SEO for years remain just as important today. AI Search changes how information is discovered, but it still depends on organisations publishing information that is useful, accurate and well maintained.

Does AI Search require a different SEO strategy?

This is perhaps the question organisations ask most often. For most websites, the answer is no.

Research rarely follows a straight line. Someone might begin with ChatGPT, compare organisations in Google, visit your website and return later before making contact. An effective SEO strategy reflects that behaviour by helping people find consistent, trustworthy information wherever they encounter your organisation.

Successful SEO still depends on useful content, good information architecture, accessibility, technical quality and ongoing content maintenance. Those principles have supported search visibility for years because they help people find, understand and trust information. AI Search relies on those same foundations.

As new technologies emerge, organisations may choose to adopt new technical standards or introduce additional ways to describe and organise their content. Those developments should strengthen an existing SEO strategy rather than replace it.

Thinking about AI Search as an extension of good SEO, rather than an alternative to it, usually leads to better long-term decisions.

Most organisations don’t need a separate AI SEO strategy. They need an SEO strategy that remains effective in an age of AI.

Where the emphasis is changing

If many of the principles behind good SEO remain the same, where is the emphasis beginning to change?

Rather than focusing on individual pages or isolated optimisation techniques, organisations increasingly benefit from thinking about how their website communicates knowledge as a whole.

Measuring SEO success

As search journeys change, organisations also need to rethink how they judge SEO success.

Rankings still matter

AI Search hasn’t replaced traditional search. People still use search engines to compare organisations, explore services and decide who they want to contact when they’re looking to buy. Instead, it’s introduced another way for people to discover information before deciding which organisations they want to explore further.

Traffic needs context

Website traffic remains an important metric, but it no longer captures every stage of someone’s research. By the time a visitor reaches your website, they may already have explored the subject through AI Search, traditional search or both.

Looking at traffic alone can therefore create an incomplete picture of how visible an organisation has become.

Measure outcomes, not just metrics

Ultimately, SEO exists to support wider organisational goals. Website traffic, rankings and search visibility all contribute to those goals, but they are rarely the objectives themselves. Understanding whether SEO is leading to more enquiries, applications, sales or other meaningful outcomes usually provides a more complete picture of success.

Our guides to Zero-Click SEO and Measuring Website Success Beyond Traffic explore these changing measures in much greater detail.

Where organisations should focus next

With so much discussion surrounding AI Search, it’s easy to feel that organisations need an entirely new approach to SEO. For most websites, that isn’t the case.

AI Search doesn’t change the qualities that make a website successful. Organisations should continue focusing on clear communication, genuine expertise and keeping their websites up to date as their services, content and users’ needs change.

AI Search is changing SEO, not replacing it

Artificial intelligence is changing online search, but it isn’t replacing the principles that have supported effective SEO for years.

Some searches now begin with an AI-generated response. Others still follow the familiar journey through traditional search results. Most people will move between both depending on what they’re trying to achieve. We may not always like it, but it’s the way things are going.

Organisations don’t need to choose between traditional SEO and AI Search. The websites most likely to succeed are still those that communicate clearly, demonstrate expertise and continue improving over time.

The ones who are most likely to succeed will be those that publish genuinely useful information, organise it thoughtfully and maintain it consistently. Those qualities have always supported good SEO, and they continue to matter as AI becomes part of everyday search.

Good SEO has always been about helping people and search engines make sense of a website. AI Search changes how that understanding is used, not why it matters.

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