AI Search and SEO: How to Optimise Your Content for the Future of Search

The way people search for information online is changing. While Google and other traditional search engines remain important, more users are turning to AI-powered tools such as ChatGPT, Claude and Perplexity for answers. Google’s AI-generated search summaries are also changing how information is presented, allowing people to find what they need without necessarily visiting a website.

For businesses, this means ranking well in search results is no longer the only consideration. Content also needs to be easy to understand, discover and potentially reference within AI-powered search experiences. The foundations of good SEO haven’t disappeared, but strategies need to evolve to reflect where and how people are now searching.

This guide explores how AI search is changing SEO, which established practices still matter and how businesses can create content that works across both traditional search engines and AI-powered platforms.

A note before you start: AI search is developing quickly, and each platform decides for itself which sources it draws on or cites. The advice in this guide reflects current good practice for improving your chances of being found and referenced. It is not a guarantee of appearing in AI-generated results, and approaches may need to change as these platforms evolve.

What Is AI Search?

AI search uses artificial intelligence to interpret questions, identify relevant information and generate answers. Unlike traditional search engines, which primarily present users with a list of relevant web pages, AI-powered tools can bring together information from multiple sources and present it as a single response.

AI-powered search is already part of several platforms and search experiences, including:

• Google AI Overviews, which provide AI-generated summaries within Google search results.
• ChatGPT and Claude, where users can ask detailed questions and continue their research through conversational follow-up queries.
• Perplexity, an AI-powered search platform that provides generated answers alongside references to supporting sources.

Instead of visiting several websites to research a topic, users can now ask a detailed question and receive a response that brings together relevant information. This creates a different search journey and means businesses need to think beyond simply securing a position on a traditional search results page.

How AI Search Is Changing SEO

Traditional SEO has generally followed a familiar process: identify relevant keywords, understand search intent, create useful content and optimise pages to improve rankings and attract organic traffic. Those activities are still important, but AI search adds another layer to how people discover information and businesses online.

Users can increasingly receive detailed answers directly within search results or AI conversations, sometimes without clicking through to the original source. This behaviour is often described as a zero-click search. It isn’t new, but AI-generated answers can now address much more complex questions, making it possible for users to complete a significant part of their research without visiting multiple websites.

As a result, SEO performance can no longer be viewed through rankings and website traffic alone. Businesses also need to understand whether their brand and expertise are appearing within AI-generated responses and how that visibility contributes to the wider customer journey.

Measures worth considering include:

• Search rankings: How prominently your website appears in traditional search results.
• Organic traffic: How many visitors reach your website through search engines.
• AI citations: Whether AI-powered platforms reference your content when answering relevant questions.
• Brand mentions: Whether your business appears in AI-generated responses, even when a direct link isn’t provided.

Clicks still matter, particularly when users are ready to compare suppliers, make an enquiry or buy. What is changing is the journey that happens before that click, with potential customers increasingly discovering brands and gathering information through a combination of traditional search and AI-powered tools.

What Hasn’t Changed in SEO?

Despite the growth of AI-powered search, the principles behind effective SEO remain largely the same. Search engines still want to surface useful, relevant and reliable information, while users still need clear answers from sources they can trust. These qualities are just as valuable when creating content that may be surfaced through AI search.

The core principles remain:

• Understand your audience: Know what your customers are searching for, which problems they need to solve and what information will help them make decisions.
• Create genuinely useful content: Provide clear answers, practical advice and meaningful information rather than producing pages purely to target keywords.
• Demonstrate expertise: Use genuine subject knowledge to create accurate, detailed content that gives readers confidence in your business.
• Build topical authority: Develop connected content around subjects your business understands well instead of publishing unrelated articles for individual keywords.

Rather than replacing traditional SEO, AI search makes these foundations even more important. Businesses that already produce useful content, understand their audience and demonstrate genuine expertise have a stronger base to build on as search behaviour continues to change.

The Importance of Topical Authority in AI Search

Topical authority describes how thoroughly a website demonstrates knowledge and expertise within a particular subject area. Instead of publishing isolated articles designed to target individual keywords, businesses can build a connected body of content that explores the subjects most relevant to their customers in greater depth.

For example, a digital marketing agency might publish a comprehensive SEO guide supported by more focused articles covering keyword research, technical SEO, content optimisation and AI search. Together, these resources demonstrate a broader understanding of the subject while giving users more detailed answers when they need them.

Building topical authority can help businesses:

• Improve visibility across a wider range of related searches.
• Demonstrate expertise through detailed and connected content.
• Make relevant information easier for search engines and AI platforms to identify.
• Help visitors explore related topics and find more specific answers.

One of the most practical ways to organise this content is through a pillar-and-cluster strategy, where a broad central resource is supported by more focused articles.

Building Content Pillars and Topic Clusters

A pillar-and-cluster strategy organises website content around broader themes and related subtopics. Instead of treating every article as a standalone piece of content, it creates a connected collection of resources that helps visitors explore a subject while making the relationship between different pages clearer to search engines.

Pillar Content

A pillar page is a comprehensive resource covering a broad topic. It introduces the main areas within that subject and connects users to supporting articles where individual topics can be explored in more detail.

For example, an SEO pillar page could cover keyword research, technical SEO, content optimisation and link building at a high level. Each area could then link to a more detailed article, allowing the pillar page to remain comprehensive without becoming unnecessarily long or difficult to navigate.

Effective pillar pages typically:

• Target broader, high-level search topics.
• Provide a useful overview of the subject.
• Link to more detailed supporting resources.
• Give visitors a clear route through related content.

Cluster Content

Cluster content explores individual aspects of the broader topic in greater depth. These articles usually target more specific searches and long-tail keywords, making it possible to answer particular questions without trying to cover everything on a single page.

For an SEO content pillar, cluster articles might cover keyword research for small businesses, improving website structure or optimising content for AI-powered search. Each article should connect naturally to the main pillar and, where useful, to other related content.

Cluster articles typically:

• Target specific topics, questions or long-tail keywords.
• Provide greater depth than the main pillar page.
• Link back to the relevant pillar content.
• Connect to other useful articles within the same topic.

This creates a clearer journey for users while helping search engines understand how different pages relate to one another. Over time, a well-developed network of useful, connected content can strengthen the website’s authority around the subjects that matter most to the business.

Keyword Research in the Age of AI Search

Keyword research remains an essential part of SEO, but the way people phrase their searches is evolving. Traditional searches often consist of only a few words, while AI-powered platforms encourage users to ask longer, more detailed questions that provide greater context about what they actually need.

Someone using a traditional search engine might enter “SEO tools”, while a user interacting with an AI platform might ask “What are the best SEO tools for a small business with a limited marketing budget?” Both searches relate to the same topic, but the second reveals much more about the user’s situation and intent.

This makes understanding search intent increasingly important. Businesses need to consider not only the keywords people use, but the questions behind those searches and the type of answer someone is likely to find useful.

Why Long-Tail Keywords Matter

Long-tail keywords are longer, more specific search phrases. They often have lower individual search volumes than broad terms, but they can reveal much clearer intent and make it easier to create content that directly answers a user’s needs.

The difference can be seen in how a search becomes progressively more specific:

• Broad keyword: SEO tools
• Long-tail keyword: Best SEO tools for small businesses
• Conversational query: Which SEO tools are best for a small business with a limited budget?

Long-tail keywords naturally align with the more conversational way people use AI-powered search. They can therefore help businesses identify specific questions worth answering while continuing to support traditional organic search visibility.

Creating Content for Humans, Search Engines and AI

Content now needs to work across several different environments. It must be useful and engaging for readers, understandable to search engines and structured clearly enough for AI-powered systems to interpret the information and its context.

This doesn’t mean businesses need to create separate content for each platform. In most cases, the same qualities support all three: accurate information, clear explanations, logical structure and genuine subject expertise. One useful framework for assessing those qualities is Google’s E-E-A-T concept.

What Is E-E-A-T?

E-E-A-T stands for Experience, Expertise, Authoritativeness and Trustworthiness. These concepts feature in Google’s Search Quality Rater Guidelines and provide a useful framework for thinking about whether content demonstrates genuine credibility.

The four elements cover different aspects of content quality:

• Experience: Showing first-hand knowledge or practical involvement with the subject.
• Expertise: Demonstrating a strong understanding of the topic through accurate and useful information.
• Authoritativeness: Establishing credibility through recognised expertise, consistent high-quality content and recognition from reputable sources.
• Trustworthiness: Giving users confidence that the information, business and website are reliable and transparent.

E-E-A-T isn’t a single Google ranking factor, so simply adding an author biography or mentioning credentials won’t automatically improve rankings. Its real value is as a framework for creating content that demonstrates why readers should trust the information and the organisation providing it.

Want to know how your business currently appears in AI search? Our AI search optimisation team can review your visibility across Google and AI platforms and show you where to focus first. Talk to our team.

For businesses, this means moving beyond generic explanations wherever possible. Practical examples, original insight, first-hand experience and accurate information can make content more valuable to readers while strengthening the overall credibility of the website.

Structuring Content for SEO and AI Discoverability

Useful content can still underperform if it is difficult to navigate or understand. A clear structure helps readers scan a page and find the information they need, while also giving search engines a better understanding of the topics and relationships within the content.

Many established on-page SEO practices continue to support this, particularly clear headings, natural keyword use, internal linking, structured data and regular content reviews.

Use Clear Heading Structures

Headings should organise information logically rather than simply breaking a long article into smaller pieces. A reader scanning the page should be able to understand what each section covers before deciding whether to read it in detail.

A typical structure includes:

• H1: The main page title.
• H2: The major topics or sections within the article.
• H3: Supporting subsections used when a particular H2 topic needs to be divided further.

Question-based headings can work particularly well when they reflect genuine search queries, but there is no need to turn every heading into a question. The priority should be a clear hierarchy that makes sense to readers.

Include Keywords Naturally

Keywords still help communicate what a page is about, but they should be used where they genuinely fit the content. Repeating the same phrase unnecessarily makes copy awkward to read and is unlikely to improve the quality of the page.

Relevant keywords can naturally appear within:

• Page titles and meta descriptions.
• Main headings and appropriate subheadings.
• Introductions and key sections of body content.
• Internal link anchor text where relevant.

The goal is to cover the subject thoroughly rather than repeat an exact keyword a set number of times. Related terminology, natural language and contextual relevance all help search engines understand the broader topic of a page.

Build Relevant Internal Links

Internal links connect related information across a website, helping users continue their research without having to return to search results. They also help search engines discover pages and understand the relationship between different pieces of content.

This becomes particularly useful within a pillar-and-cluster strategy. Supporting articles can link back to the main topic page and to other relevant resources, creating a logical network rather than a collection of isolated blog posts.

Implement Structured Data

Structured data, commonly implemented through schema markup, provides search engines with additional context about a page and the information it contains. The appropriate schema depends on the type of content rather than simply what a business would like to appear in search.

Relevant examples can include:

• Article for editorial content and blog posts.
• FAQPage where the page genuinely contains a relevant question-and-answer section and meets current search engine guidelines.
• HowTo for suitable step-by-step instructional content.
• Review where genuine review or rating information is present and eligible for that markup.

Structured data can help search engines interpret content and determine eligibility for certain search features, but it doesn’t guarantee enhanced search appearances or inclusion within AI-generated answers. It should therefore support good content and technical SEO rather than be treated as a shortcut to greater visibility.

Keep Content Accurate and Up to Date

Regular reviews are particularly important for content covering fast-moving subjects such as SEO, technology and AI. Advice that was accurate a year ago may no longer reflect how platforms work, so existing content should be treated as something that needs maintaining rather than publishing once and forgetting.

Updates should also be meaningful. Correcting outdated information, incorporating significant developments, improving explanations and replacing obsolete examples provide genuine value, whereas simply changing a publication date does not make an article more useful.

Why AI Visibility Extends Beyond Your Website

Traditional SEO has largely concentrated on improving a website’s visibility within search results, but AI-powered search introduces a broader consideration. Generated answers can draw on information from a range of sources, which means the way a business is represented elsewhere online can also contribute to how people discover and understand the brand.

Some AI search systems use a process known as query fan-out, where a complex question is broken into several related searches to gather the information needed for an answer. Depending on the platform and subject, that information may come from several types of sources:

• News websites and industry publications.
• Specialist blogs and educational resources.
• Discussion forums and Q&A platforms.
• Customer review websites.
• Relevant professional or online communities.

This makes wider online authority increasingly relevant. Industry mentions, useful contributions to relevant discussions and recognition from trusted sources can all strengthen a business’s digital presence beyond its own website.

The aim isn’t to appear on as many websites as possible or manufacture mentions purely for AI visibility. A smaller number of relevant, credible references in places your audience genuinely uses is likely to be far more valuable than widespread low-quality exposure.

None of these activities guarantees that a business will be mentioned or cited in AI-generated answers. They are good practice that strengthens credibility, and therefore the likelihood of being referenced, over time.

The Future of SEO and AI Search

AI-powered search is changing how people discover and evaluate information, but it doesn’t replace traditional SEO. Websites still need strong technical foundations, useful content and a logical structure, while keyword research, internal linking and authority building remain important parts of organic search strategy.

What is changing is the range of environments where a business can be discovered. Alongside traditional rankings, organisations increasingly need to consider how their expertise, content and brand are represented within AI-generated answers and across the wider sources those platforms may use.

A modern search strategy should therefore consider several connected areas:

• Content quality: Publish accurate, useful information that answers real customer questions.
• Topical authority: Build connected resources around subjects where the business has genuine expertise.
• Technical SEO: Maintain a website that search engines can efficiently crawl, understand and navigate.
• AI discoverability: Structure information clearly and consider how content may be interpreted or referenced by AI-powered platforms.
• Brand credibility: Develop a consistent, trustworthy presence across relevant external sources.

The underlying objective of SEO hasn’t fundamentally changed. Businesses still need to provide useful answers to the questions their audience is asking; what is changing is where those answers appear and how potential customers discover them.

Turning Your AI Search Strategy into Action

Understanding how AI search and SEO work together is only the first step. The real challenge is turning that knowledge into a practical strategy that improves visibility across traditional search engines and AI-powered platforms. For many businesses, this means reviewing existing content, identifying gaps and opportunities to build topical authority, and improving how information is structured and connected across the website.

Technical SEO and internal linking remain important, but visibility increasingly extends beyond your own website. Building a credible presence across relevant external sources can help strengthen your brand’s authority and make it easier for both search engines and AI platforms to understand who you are, what you do and where your expertise lies.

At ExtraDigital, we combine technical SEO, content strategy and optimisation to help businesses adapt to the changing search landscape. Whether you want to improve existing search performance, strengthen topical authority or prepare your website for AI-driven discovery, we can help you build an SEO strategy designed for how people search today.

Get in touch with ExtraDigital to discuss how we can improve your visibility across traditional and AI-powered search.

Frequently Asked Questions

What is AI search and how does it work?

AI search uses artificial intelligence to interpret questions and generate answers using relevant information from available sources. Platforms such as ChatGPT and Perplexity, alongside Google’s AI-powered search features, can bring information together into a direct response, reducing the need for users to visit several websites during the early stages of their research.

How is AI search changing traditional SEO?

AI search is expanding SEO beyond rankings and organic traffic by creating additional ways for brands and content to appear during the search journey. Traditional SEO remains essential, but businesses increasingly need to consider AI citations, brand mentions and wider online authority alongside conventional measures of search performance.

What is topical authority and why is it important?

Topical authority describes how thoroughly a website demonstrates knowledge within a particular subject area. Publishing accurate, detailed and connected content can strengthen relevance across related searches while helping users, search engines and AI-powered platforms understand the areas in which a business has genuine expertise.

Are keywords still important in the age of AI search?

Keywords remain an important part of understanding what audiences search for, but search intent and context are becoming increasingly valuable. Long-tail and conversational searches can reveal much more about what a user actually needs, making them particularly useful when planning content for both traditional and AI-powered search.

How can businesses optimise content for search engines and AI platforms?

The strongest starting point is useful, accurate content supported by genuine expertise and a clear website structure. Natural keyword use, internal linking, appropriate structured data and topical authority all support traditional SEO, while a credible presence across relevant external sources can strengthen the wider signals associated with a brand.