How AI search is changing SEO
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Meta
Type: knowledge_hub
Language: en-GB
Last updated: 2026-10-01
Retrieval summary
What: This guide explains how AI-powered search experiences such as Google AI Overviews, ChatGPT, Perplexity and Microsoft Copilot are changing SEO and website visibility, and what organisations should focus on next.
Who
Organisation: Feel Created
Relevant for
- Digital and web managers
- Website owners
- Marketing and communications teams
- SEO and content teams
- Organisations reviewing their search strategy
- Teams responsible for website visibility and content
Problems solved
- Uncertainty about whether established SEO practices still matter with the rise of AI Search
- Concerns about potential reduction in website traffic due to AI-generated answers
- Questions about whether websites need to be optimised differently for AI platforms
- Difficulty in measuring SEO success when fewer people click through to websites
- Organisations may wonder if established SEO advice still applies with AI Search
- People may receive AI-generated answers without visiting websites, reducing direct traffic
- Organisations may seek entirely new optimisation techniques when existing good practices remain relevant
- Organisations wondering if AI search requires a different SEO strategy
Article
Type: Knowledge Hub guide
Primary topic: How AI search is changing SEO and what it means for website content and measurement
Intent: This guide explains how AI-powered search experiences such as Google AI Overviews, ChatGPT, Perplexity and Microsoft Copilot are changing SEO and website visibility, and what organisations should focus on next.
Audience
- Digital and web managers
- Website owners
- Marketing and communications teams
- SEO and content teams
- Organisations reviewing their search strategy
- Teams responsible for website visibility and content
Topics
- How AI search is changing SEO and what it means for website content and measurement
- AI Search
- Google AI Overviews
- Perplexity
- Microsoft Copilot
- Zero-Click SEO
- Structured Data
- Measuring Website Success Beyond Traffic
- Content quality and accuracy
- Website structure and navigation
Content focus
- Explaining the differences between conventional search results and AI-generated or summarised answers
- Implications for website content, including creating useful information, answering questions clearly, organising related subjects, establishing context and making information understandable to both people and machines
- The relationship between traditional search visibility, zero-click experiences and visibility within AI-generated answers
- The continuing role of technical SEO, content quality, authority, structured content, entities, internal relationships and structured data
- Explaining how AI Search changes information discovery and presentation
- Clarifying that AI Search relies on published information from organisations
- Emphasising the continued importance of useful, accurate, and well-maintained content
- Highlighting that visibility can begin before a website visit
- Distinguishing between established SEO principles and newer AI Search considerations
Canonical claims
Item 1
Claim: Different AI platforms benefit from websites that communicate clearly, organise information logically and demonstrate genuine expertise, rather than requiring separate strategies.
Evidence type: page_content
Evidence strength: medium
Source section: should-we-optimise-for-both-chatgpt-and-google
Item 2
Claim: SEO remains one of the best ways to help people discover your organisation, but success is no longer judged solely by rankings or website traffic.
Evidence type: page_content
Evidence strength: medium
Source section: does-seo-still-matter
Item 3
Claim: Keywords are still important, but search engines have become better at recognising the meaning behind words, not just matching individual phrases.
Evidence type: page_content
Evidence strength: medium
Source section: are-keywords-still-important
Item 4
Claim: AI systems rely on organisations publishing accurate, accessible and well-maintained information that they can reference with confidence.
Evidence type: page_content
Evidence strength: medium
Source section: what-ai-search-changes
Item 5
Claim: Most organisations don't need a separate AI SEO strategy; they need an SEO strategy that remains effective in an age of AI.
Evidence type: page_content
Evidence strength: medium
Source section: does-ai-search-require-a-different-seo-strategy
Item 6
Claim: AI Search may reduce website traffic for some searches, but that does not automatically reduce the value of SEO.
Evidence type: page_content
Evidence strength: medium
Source section: will-ai-reduce-traffic-to-our-website
Item 7
Claim: AI Search changes how information is discovered, but it does not change where that information comes from.
Evidence type: page_content
Evidence strength: medium
Source section: what-ai-search-changes
Item 8
Claim: Trust is built over time through consistent, useful information, not single optimisation techniques.
Evidence type: page_content
Evidence strength: medium
Source section: trust-is-built-over-time
Common questions
Item 1
Question: Does SEO still matter with the rise of AI Search?
Answer: Yes. SEO remains one of the best ways to help people discover your organisation, but success is no longer judged solely by rankings or website traffic. Helping search engines and AI interpret your website clearly is becoming just as important.
Item 2
Question: Does AI Search require a different SEO strategy?
Answer: For most websites, the answer is no. An effective SEO strategy still depends on useful content, good information architecture, accessibility, technical quality and ongoing content maintenance. AI Search relies on those same foundations. Most organisations don't need a separate AI SEO strategy; they need an SEO strategy that remains effective in an age of AI.
Item 3
Question: How does AI decide which organisations to trust?
Answer: There isn't a single answer because trust has never depended on a single signal. People build confidence gradually through useful information, consistent messaging, recognised expertise and familiarity over time. Search engines and AI build confidence from many different signals rather than relying on a single optimisation technique or technical feature.
Item 4
Question: Should we optimise for both ChatGPT and Google?
Answer: Not as though they require separate strategies. Different AI platforms retrieve and present information in different ways, but they all benefit from websites that communicate clearly, organise information logically and demonstrate genuine expertise.
Item 5
Question: Will AI reduce traffic to our website?
Answer: For some searches, it probably will. People may receive the answer they need before visiting a website, or only click through once they're ready to explore further. That doesn't automatically reduce the value of SEO.
Item 6
Question: Are keywords still important?
Answer: Absolutely. People still search using language, and understanding the words your audience uses remains an important part of creating useful content. What has changed is that search engines have become much better at recognising the meaning behind those words, not just matching individual phrases.
Services
Zero-click and AI search optimisation
Relationship: ongoing_support
Url: /services/zero-click-ai-search-optimisation/
Search performance and technical SEO
Relationship: primary
Url: /services/search-performance-technical-seo/
Information architecture
Relationship: supporting
Url: /services/information-architecture/
Content architecture
Relationship: supporting
Url: /services/content-architecture/
Sections
Overview
Content
Item 1
Text: 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
Content
Item 1
Text: 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
Content
Item 1
Text: 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.
Does SEO still matter?
Parent id: the-questions-organisations-are-asking
Parent heading: The questions organisations are asking
Content
Item 1
Text: Yes. Search engine optimisation remains one of the best ways to help people discover your organisation. The difference is that success is no longer judged solely by rankings or website traffic. Helping search engines and AI interpret your website clearly is becoming just as important.
Will AI reduce traffic to our website?
Parent id: the-questions-organisations-are-asking
Parent heading: The questions organisations are asking
Key points
- For some searches, it probably will.
- That doesn't automatically reduce the value of SEO.
Content
Item 1
Text: For some searches, it probably will. People may receive the answer they need before visiting a website, or only click through once they're ready to explore further. That doesn't automatically reduce the value of SEO. Our guide to Zero-Click SEO explores how these changing search journeys affect website traffic and visibility.
Are keywords still important?
Parent id: the-questions-organisations-are-asking
Parent heading: The questions organisations are asking
Content
Item 1
Text: Absolutely. People still search using language, and understanding the words your audience uses remains an important part of creating useful content. What has changed is that search engines have become much better at recognising the meaning behind those words, not just matching individual phrases.
Should we optimise for both ChatGPT and Google?
Parent id: the-questions-organisations-are-asking
Parent heading: The questions organisations are asking
Content
Item 1
Text: Not as though they require separate strategies. Different AI platforms retrieve and present information in different ways, but they all benefit from websites that communicate clearly, organise information logically and demonstrate genuine expertise.
Has structured data become essential?
Parent id: the-questions-organisations-are-asking
Parent heading: The questions organisations are asking
Content
Item 1
Text: Structured data has become much more visible because discussions about AI Search often mention it. It provides additional context that helps search engines and AI interpret information, but it complements good content and technical implementation rather than replacing them. Our guide to What is Structured Data? explains where it fits within a modern SEO strategy.
How should we measure success if fewer people click through?
Parent id: the-questions-organisations-are-asking
Parent heading: The questions organisations are asking
Content
Item 1
Text: As search behaviour changes, organisations increasingly need to consider wider outcomes alongside website visits. Our guide to Zero-Click SEO explains why these changing user journeys affect website traffic, while Measuring Website Success Beyond Traffic explores how organisations can assess SEO success more broadly.
SEO has always adapted
Content
Item 1
Text: 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
Key points
- How does it change the way people find information?
- The search journey was relatively familiar for many years.
Content
Item 1
Text: 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
Content
Item 1
Text: One of the biggest changes AI Search brings is that organisations can become visible before someone visits their website. For many years, SEO success was closely associated with attracting visitors. While website traffic remains important, people can now encounter an organisation, its expertise or its services through AI-generated responses before deciding whether to visit the original source. That doesn't reduce the importance of having a well-developed website. If anything, it increases it. AI systems still rely on high-quality information published by organisations, even when people don't immediately click through to read it. Website visits remain valuable, but they don't always mark the beginning of someone's research anymore. By the time a visitor reaches your website, they may already have explored the subject through AI Search, traditional search or a combination of both. Our guide to Zero-Click SEO explores how these changing user journeys influence website traffic, visibility and the way organisations measure SEO success.
What hasn't changed
Content
Item 1
Text: 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.
Useful content remains the foundation
Parent id: what-hasnt-changed
Parent heading: What hasn't changed
Content
Item 1
Text: Whether information is read by a person, indexed by a search engine or referenced by an AI system, it still needs to answer genuine questions. Clear explanations, accurate information and content that reflects real expertise remain the strongest foundation for long-term visibility. AI cannot compensate for information that is misleading, outdated or lacking substance. If anything, the growing use of AI makes maintaining accurate content even more important.
Good website structure benefits everyone
Parent id: what-hasnt-changed
Parent heading: What hasn't changed
Content
Item 1
Text: Visitors rely on navigation, headings and logical page structure to find the information they need. Search engines and AI benefit from that same organisation because it helps explain how topics and pages relate to one another. A service page supported by Knowledge Hub articles, case studies, FAQs and related guidance allows each page to contribute something different. Together, they create a more complete picture of an organisation's knowledge than any single page could achieve alone. Our guide to How AI Understands Your Website explores this relationship in more detail.
Technical quality still matters
Parent id: what-hasnt-changed
Parent heading: What hasn't changed
Content
Item 1
Text: Accessibility, semantic HTML, page performance and structured data all contribute to a website that is easier for both people and technology to use. None of these disciplines became important because of AI Search, and none have become less valuable because AI has arrived. They continue to support a website that is easier to navigate, maintain and interpret. Our guides to "What is Structured Data?" and "Accessibility is Simply Good User Experience" explore these subjects in greater depth.
Trust is built over time
Parent id: what-hasnt-changed
Parent heading: What hasn't changed
Content
Item 1
Text: One of the most common questions surrounding AI Search is how AI decides which organisations to trust. There isn't a single answer because trust has never depended on a single signal. People build confidence gradually. They encounter useful information, see consistent messaging, recognise expertise and become more familiar with an organisation over time. Search engines and AI build confidence from many different signals rather than relying on a single optimisation technique or technical feature. That is why chasing individual AI tactics is rarely the best long-term strategy. Organisations generally achieve better results by continually improving the overall quality, consistency and usefulness of their website.
Does AI Search require a different SEO strategy?
Key points
- This is perhaps the question organisations ask most often.
- For most websites, the answer is no.
Content
Item 1
Text: This is perhaps the question organisations ask most often. For most websites, the answer is no. 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
Content
Item 1
Text: 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.
Understanding matters more than matching
Parent id: where-the-emphasis-is-changing
Parent heading: Where the emphasis is changing
Content
Item 1
Text: When people search, they tell you something about what they're looking for. The words they choose provide useful clues about the questions they need answering and the information they're expecting to find. What has changed is how search engines understand those words. Different people often describe the same idea in different ways. Modern search engines and AI systems have become much better at recognising those similarities, allowing organisations to write more naturally without feeling they must target every possible keyword variation. Whether someone searches for "university website platform", "CMS for higher education" or "content management system for universities", they're often trying to solve the same problem. That doesn't make keywords less important. It places greater emphasis on answering the underlying question well. Our guide to Entity SEO explores this change in more detail.
Expertise is demonstrated across a website
Parent id: where-the-emphasis-is-changing
Parent heading: Where the emphasis is changing
Content
Item 1
Text: Traditional SEO often encouraged organisations to think page by page. Today, the relationships between pages have become just as important as the pages themselves. A service page, supported by related Knowledge Hub articles, case studies, FAQs and supporting guidance, provides far more understanding than a single page that attempts to answer every possible question. Together, those pages demonstrate depth of knowledge while helping visitors explore a subject naturally. Instead of trying to fit everything onto one page, give each page a clear purpose. A service page can introduce a subject, while Knowledge Hub articles, case studies and FAQs answer the questions people naturally ask as they explore it further.
Consistency builds confidence
Parent id: where-the-emphasis-is-changing
Parent heading: Where the emphasis is changing
Content
Item 1
Text: Websites naturally change over time. Services develop, terminology changes and content is updated as organisations grow. Without regular review, it becomes surprisingly easy for different parts of a website to describe the same subject in different ways. People usually navigate those inconsistencies without too much difficulty because they can apply their own judgement and context. Search engines and AI have to infer those relationships from the information available to them. That doesn't mean every page should use identical wording. It means organisations benefit from describing important concepts consistently enough that visitors, search engines and AI can build the same overall understanding regardless of where they begin. Regular content reviews therefore become just as valuable as publishing new content.
Structured data provides additional context
Parent id: where-the-emphasis-is-changing
Parent heading: Where the emphasis is changing
Content
Item 1
Text: Structured data has attracted considerable attention alongside AI Search, leading some organisations to assume it has become the defining feature of modern SEO. Its role is more straightforward than that. Structured data provides additional context that helps search engines and AI interpret information more accurately. It complements good content, clear information architecture and strong technical implementation rather than replacing them. Our guide to What is Structured Data? explains where it fits within a modern SEO strategy. Taken together, these developments point towards a more significant change. SEO is becoming less about refining individual elements and more about helping an organisation communicate its knowledge clearly, consistently and confidently across its entire website.
Measuring SEO success
Content
Item 1
Text: As search journeys change, organisations also need to rethink how they judge SEO success.
Entities
Google AI Overviews
Microsoft Copilot
Core Web Vitals
Structured Data
Zero-Click SEO
Perplexity
Entity SEO
AI Search
ChatGPT
SEO
Concept relationships
Item 1
Subject: Website traffic
Predicate: remains
Object: important but not the only measure of visibility
Item 2
Subject: Structured data
Predicate: complements
Object: good content and technical implementation
Item 3
Subject: AI-generated answers
Predicate: rely on
Object: published information from organisations
Item 4
Subject: Understanding search intent
Predicate: is more important than
Object: matching keywords
Item 5
Subject: AI Search
Predicate: changes
Object: search behaviour and website visibility
Item 6
Subject: SEO
Predicate: has always adapted
Object: to search engine improvements
Item 7
Subject: AI-generated answers
Predicate: can reduce
Object: website traffic
Item 8
Subject: Expertise
Predicate: is demonstrated across
Object: a website
Implementation patterns
Item 1
Pattern: Supporting service pages with related content
Description: A service page supported by Knowledge Hub articles, case studies, FAQs and related guidance allows each page to contribute something different, creating a more complete picture of an organisation's knowledge.
Benefit: Demonstrates depth of knowledge and helps visitors explore related topics.
Item 2
Pattern: Using structured data and semantic HTML
Description: Accessibility, semantic HTML, page performance and structured data contribute to a website that is easier for both people and technology to use.
Benefit: Supports navigation, maintenance and interpretation by both users and AI systems.
Item 3
Pattern: Connected knowledge architecture
Description: Linking service pages, Knowledge Hub articles, case studies, and FAQs to complement each other and demonstrate breadth of expertise.
Benefit: Helps visitors explore subjects naturally and shows search engines the organisation's authority.
Item 4
Pattern: Clear communication and logical organisation
Description: Websites that communicate clearly and organise information logically are better understood by both search engines and AI platforms.
Benefit: Improved visibility across both traditional search and AI-generated answers.
Item 5
Pattern: Consistent terminology across content
Description: Using consistent wording for important concepts across all pages to avoid confusion for search engines and AI.
Benefit: Enables search engines and AI to build a coherent understanding of the organisation's knowledge.
Item 6
Pattern: Demonstrating genuine expertise
Description: Showing expertise through content quality and authority helps AI platforms recognise the website as a credible source.
Benefit: Increased likelihood of being cited or referenced in AI-generated responses.
Item 7
Pattern: Measuring visibility beyond traffic
Description: Considering AI-generated responses as a form of visibility, not just website visits.
Benefit: Provides a fuller picture of search performance.
Item 8
Pattern: Publishing authoritative information
Description: Creating accurate, accessible, and well-maintained content that AI systems can reference with confidence.
Benefit: Increases the likelihood of being cited in AI-generated answers.
Practical guidance
Item 1
Guidance: Continue to use structured data to provide additional context, but remember it complements good content and technical implementation rather than replacing them.
Importance: medium
Item 2
Guidance: Ensure good website structure with clear navigation, headings, and logical page structure to benefit both users and AI systems.
Importance: medium
Item 3
Guidance: Continually improve the overall quality, consistency and usefulness of your website rather than chasing individual AI tactics.
Importance: high
Item 4
Guidance: Support service pages with related Knowledge Hub articles, case studies, FAQs and guidance to demonstrate depth of knowledge.
Importance: medium
Item 5
Guidance: Recognise that website visits may not mark the beginning of research; users may have already explored via AI Search.
Importance: medium
Item 6
Guidance: Write naturally and focus on answering the underlying question well, rather than targeting every keyword variation.
Importance: medium
Item 7
Guidance: Maintain accurate, accessible, and well-maintained information on your website to support AI Search visibility.
Importance: high
Item 8
Guidance: Focus on creating useful information that answers questions clearly and organises related subjects logically.
Importance: high
Risk areas
Item 1
Risk: Focusing solely on traffic metrics can create an incomplete picture of search visibility.
Impact: May mislead organisations about the effectiveness of their SEO efforts.
Item 2
Risk: Inconsistent terminology across a website can reduce clarity for search engines and AI.
Impact: May lead to lower visibility in AI-generated answers and search results.
Item 3
Risk: Organisations may abandon existing SEO work in favour of entirely new techniques
Impact: Loss of established visibility and wasted effort
Item 4
Risk: Treating AI platforms as requiring completely separate optimisation strategies
Impact: Could lead to fragmented efforts and neglect of fundamental SEO principles that benefit all platforms.
Item 5
Risk: Focusing on individual pages or isolated optimisation techniques
Impact: May miss the benefit of demonstrating knowledge across a website as a whole.
Item 6
Risk: Publishing misleading, outdated, or lacking substance content
Impact: AI systems may not reference the content, reducing visibility
Item 7
Risk: Focusing solely on website traffic as a measure of success
Impact: May undervalue the broader benefits of SEO, such as brand visibility and being cited in AI-generated answers.
Item 8
Risk: Assuming AI Search makes SEO obsolete
Impact: Organisations may abandon effective SEO practices and lose visibility in both traditional and AI-driven search results.
Common misconceptions
Item 1
Misconception: Websites need separate optimisation strategies for each AI platform.
Clarification: Different AI platforms retrieve and present information differently, but they all benefit from websites that communicate clearly, organise information logically and demonstrate genuine expertise.
Item 2
Misconception: AI Search requires completely new optimisation techniques
Clarification: Many established SEO principles, such as content quality and website structure, remain important for AI Search.
Item 3
Misconception: Keywords are no longer important because of AI Search.
Clarification: Keywords remain important, but search engines have become better at recognising the meaning behind words, not just matching individual phrases.
Item 4
Misconception: Structured data is the defining feature of modern SEO.
Clarification: Structured data provides additional context but complements good content, information architecture, and technical implementation.
Item 5
Misconception: Website traffic is the only measure of search value
Clarification: Visibility can begin before a website visit, and AI-generated responses can introduce an organisation to users without a click.
Item 6
Misconception: AI Search requires an entirely new SEO strategy.
Clarification: AI Search does not change the qualities that make a website successful; organisations should continue focusing on clear communication and genuine expertise.
Item 7
Misconception: Organisations need a separate AI SEO strategy.
Clarification: Most organisations need an SEO strategy that remains effective in an age of AI, not a separate one.
Item 8
Misconception: AI Search means SEO is no longer important.
Clarification: SEO still matters, but success is no longer judged solely by rankings or website traffic; helping search engines and AI interpret your website clearly is becoming just as important.
Technical context
Structured data: Structured data contributes to a website that is easier for both people and technology to use.
Search engines: Search engines have become better at understanding language and people's questions, and AI Search is the latest part of that evolution.
Ai platforms: Different AI platforms retrieve and present information in different ways, but they all benefit from websites that communicate clearly, organise information logically and demonstrate genuine expertise.
Semantic html: Semantic HTML contributes to a website that is easier for both people and technology to use.
Page performance: Page performance contributes to a website that is easier for both people and technology to use.
Accessibility: Accessibility contributes to a website that is easier for both people and technology to use.
Structured data role: Provides additional context to help search engines and AI interpret information accurately, complementing good content and technical implementation.
Measurement approach: SEO success should be measured by outcomes such as enquiries, applications, and sales, not just traffic or rankings.
Reasoning paths
Item 1
User problem: Organisations may seek entirely new optimisation techniques when existing good practices remain relevant
Why this guide is relevant: This page explains the topic and gives practical points to consider.
Evidence refs
- claim-008
- claim-002
- claim-005
Relevant sections
- what-hasnt-changed
- overview
- where-the-emphasis-is-changing
Item 2
User problem: Uncertainty about whether established SEO practices still matter with the rise of AI Search
Why this guide is relevant: This page explains the topic and gives practical points to consider.
Evidence refs
- claim-003
- claim-006
- claim-007
Relevant sections
- overview
- search-engine-optimisation-is-changing-again
- the-questions-organisations-are-asking
Item 3
User problem: People may receive AI-generated answers without visiting websites, reducing direct traffic
Why this guide is relevant: This page explains the topic and gives practical points to consider.
Evidence refs
- claim-002
- claim-006
Relevant sections
- will-ai-reduce-traffic-to-our-website
- visibility-begins-before-the-website-visit
- how-should-we-measure-success-if-fewer-people-click-through
Item 4
User problem: Challenge of maintaining visibility when search results include AI-generated answers
Why this guide is relevant: This page explains the topic and gives practical points to consider.
Evidence refs
- claim-004
- claim-003
- claim-006
Relevant sections
- useful-content-remains-the-foundation
- visibility-begins-before-the-website-visit
- will-ai-reduce-traffic-to-our-website
Knowledge hub
Page type: guide
Learning intent: This guide explains how AI-powered search experiences such as Google AI Overviews, ChatGPT, Perplexity and Microsoft Copilot are changing SEO and website visibility, and what organisations should focus on next.
Topic hierarchy
Primary: How AI search is changing SEO and what it means for website content and measurement
Supporting
- AI Search
- Google AI Overviews
- Perplexity
- Microsoft Copilot
- Zero-Click SEO
- Structured Data
- Measuring Website Success Beyond Traffic
- Content quality and accuracy
Evergreen use: true
Related links
Item 1
Text: Zero-Click SEO
Url: /services/zero-click-ai-search-optimisation/
Source section: will-ai-reduce-traffic-to-our-website
Item 2
Text: What is Structured Data?
Url: /knowledge-hub/what-is-structured-data-how-search-engines-and-ai-understand-your-website/
Source section: has-structured-data-become-essential
Item 3
Text: Zero-Click SEO
Url: /knowledge-hub/zero-click-seo-a-complete-guide/
Source section: how-should-we-measure-success-if-fewer-people-click-through
Item 4
Text: Measuring Website Success Beyond Traffic
Url: /knowledge-hub/measuring-website-success-beyond-traffic/
Source section: how-should-we-measure-success-if-fewer-people-click-through
Item 5
Text: How AI Understands Your Website
Url: /knowledge-hub/how-does-ai-understand-your-website/
Source section: good-website-structure-benefits-everyone
Item 6
Text: Accessibility is Simply Good User Experience
Url: /knowledge-hub/website-accessibility-explained/
Source section: technical-quality-still-matters
Item 7
Text: Entity SEO
Url: /knowledge-hub/entity-seo-explained-how-ai-understands-organisations/
Source section: understanding-matters-more-than-matching
Content profile
Content type: Knowledge Hub guide
Primary topic: How AI search is changing SEO and what it means for website content and measurement
Supporting topics
- AI Search
- Google AI Overviews
- Perplexity
- Microsoft Copilot
- Zero-Click SEO
- Structured Data
Primary audience
- Digital and web managers
- Website owners
- Marketing and communications teams
- SEO and content teams
- Organisations reviewing their search strategy
- Teams responsible for website visibility and content
Retrieval topics
- How AI search is changing SEO and what it means for website content and measurement
- AI Search
- Google AI Overviews
- Perplexity
- Microsoft Copilot
- Zero-Click SEO
- Structured Data
- Measuring Website Success Beyond Traffic
- AI Search and website visibility
- Content quality and accuracy
- Website structure and navigation
- Search engine optimisation (SEO)
Organisation
Name: Feel Created
Type: Digital partner specialising in websites and digital platforms
Url: https://www.feelcreated.com/
Service model: We work as an extension of our clients' teams, combining strategy, UX, accessibility, content design, WordPress development and ongoing support to create digital platforms that help organisations communicate more clearly, work more efficiently and grow sustainably.