{ "meta": { "type": "knowledge_hub", "language": "en-GB", "last_updated": "2026-10-16", "ai_endpoint": "/knowledge-hub/what-is-ai-search-and-how-does-it-work/ai.json", "source_page": "/knowledge-hub/what-is-ai-search-and-how-does-it-work/" }, "retrieval_summary": { "what": "AI Search uses artificial intelligence to understand the intent behind a question before retrieving and presenting relevant information, aiming to provide clear, direct answers rather than just a list of webpages.", "who": { "organisation": "Feel Created" }, "relevant_for": [ "Digital and web managers", "Website owners", "Marketing and communications teams", "SEO and content teams", "Digital strategy teams", "Organisations trying to understand AI-powered search" ], "problems_solved": [ "Difficulty in finding information online due to keyword-based search limitations", "Users expecting direct answers rather than lists of links", "Understanding how AI Search differs from traditional search", "Navigating the variety of AI Search platforms and their different approaches", "AI Search can produce inaccurate or incomplete responses", "Different sources provide conflicting information", "Reliable sources are limited", "Context is misunderstood" ] }, "page": { "title": "What is AI search and how does it work?", "slug": "what-is-ai-search-and-how-does-it-work", "url": "/knowledge-hub/what-is-ai-search-and-how-does-it-work/", "canonical_url": "https://www.feelcreated.com/knowledge-hub/what-is-ai-search-and-how-does-it-work/", "status": "published" }, "article": { "type": "Knowledge Hub guide", "primary_topic": "AI Search and its implications for websites and digital content", "intent": "AI Search uses artificial intelligence to understand the intent behind a question before retrieving and presenting relevant information, aiming to provide clear, direct answers rather than just a list of webpages.", "audience": [ "Digital and web managers", "Website owners", "Marketing and communications teams", "SEO and content teams", "Digital strategy teams", "Organisations trying to understand AI-powered search" ] }, "topics": [ "AI Search and its implications for websites and digital content", "AI Search", "Traditional search", "Google AI Overviews", "Perplexity", "Microsoft Copilot", "Semantic search", "Structured data", "Large language models", "Generative AI", "Retrieval-Augmented Generation (RAG)", "Schema.org" ], "content_focus": [ "Explanation of AI Search principles", "Overview of AI Search platforms", "How AI Search works", "Retrieval-Augmented Generation (RAG)", "Semantic search", "Trust signals in AI Search", "Limitations of AI Search", "Structured data and Schema.org", "Role of structured data in AI Search", "Importance of websites as sources of information" ], "canonical_claims": [ { "claim": "AI Search evaluates signals such as clear authorship, recognised organisations, consistent information, high-quality content, well-organised website structure, technical accessibility, structured data, and references to determine source reliability.", "evidence_type": "page_content", "evidence_strength": "medium", "source_section": "how-does-ai-know-which-information-to-trust", "id": "claim-001" }, { "claim": "Google's Hummingbird update in 2013 marked a significant move towards interpreting search intent, with BERT (2019) and MUM (2021) further improving language understanding.", "evidence_type": "page_content", "evidence_strength": "medium", "source_section": "what-is-semantic-search", "id": "claim-002" }, { "claim": "AI Search uses artificial intelligence to understand the intent behind a question before retrieving and presenting relevant information.", "evidence_type": "page_content", "evidence_strength": "medium", "source_section": "overview", "id": "claim-003" }, { "claim": "AI Search systems retrieve current, relevant information from trusted sources before generating a response.", "evidence_type": "page_content", "evidence_strength": "medium", "source_section": "2-retrieving-relevant-information", "id": "claim-004" }, { "claim": "AI Search appears in platforms like Google AI Overviews, ChatGPT, Perplexity and Microsoft Copilot.", "evidence_type": "page_content", "evidence_strength": "medium", "source_section": "where-it-appears", "id": "claim-005" }, { "claim": "Traditional search helps you find pages, while AI Search helps you find and understand information.", "evidence_type": "page_content", "evidence_strength": "medium", "source_section": "the-principles-behind-ai-search", "id": "claim-006" }, { "claim": "Semantic search moves beyond keyword matching to understand concepts, relationships, and intent.", "evidence_type": "page_content", "evidence_strength": "medium", "source_section": "what-is-semantic-search", "id": "claim-007" }, { "claim": "Structured data does not guarantee inclusion in AI-generated answers.", "evidence_type": "page_content", "evidence_strength": "medium", "source_section": "what-is-structured-data-and-why-does-it-matter", "id": "claim-008" } ], "common_questions": [ { "question": "How is AI Search different from traditional search?", "answer": "Traditional search returns a ranked list of links based on keyword matching, while AI Search understands the meaning behind a question and produces a direct answer or summary, often drawing on multiple sources." }, { "question": "What is structured data and why does it matter?", "answer": "Structured data provides additional information that helps search engines and AI systems understand what content represents. It is usually implemented using the Schema.org vocabulary and added to webpages as machine-readable code." }, { "question": "How does AI know which information to trust?", "answer": "AI Search systems evaluate a range of signals to identify information that appears most reliable, authoritative and relevant. These signals include clear authorship, recognised organisations, consistent information across multiple sources, high-quality content, well-organised website structure, technical accessibility, structured data, and references from trusted websites." }, { "question": "Why doesn’t AI Search always get it right?", "answer": "AI Search can produce inaccurate or incomplete responses due to conflicting sources, limited reliable sources, misunderstood context, older information, or incorrect combination of information from different sources." }, { "question": "Where do you encounter AI Search?", "answer": "AI Search appears in platforms like Google AI Overviews, ChatGPT, Perplexity and Microsoft Copilot, each with its own approach to finding and presenting information." }, { "question": "Does AI Search replace SEO?", "answer": "No. AI Search changes how search works, but many SEO fundamentals remain important, such as clear site structure, useful content, strong technical foundations, accessibility and well-organised information." } ], "services": [ { "name": "AI SEO services & AI search optimisation", "relationship": "supporting", "url": "/services/zero-click-ai-search-optimisation/" }, { "name": "Information architecture", "relationship": "supporting", "url": "/services/information-architecture/" }, { "name": "Content architecture", "relationship": "supporting", "url": "/services/content-architecture/" } ], "sections": [ { "id": "overview", "heading": "Overview", "type": "introduction", "content": [ { "type": "paragraph", "text": "AI Search uses artificial intelligence to understand the intent behind a question before retrieving and presenting relevant information. Whether you’re using Google AI Overviews, ChatGPT, Perplexity or Microsoft Copilot, AI Search is changing how people discover information online. Rather than simply returning a list of webpages, AI Search aims to understand what someone is asking and provide a clear, relevant response. The way people search online is changing. Instead of relying on a handful of keywords and a list of links, many now ask complete questions and expect a clear, direct answer. This shift is happening quickly because people can ask questions naturally, explore follow-up questions and receive answers that draw on information from multiple sources. In simple terms, people can search in the same way they would ask another person. This more conversational way of finding information is known as AI Search." } ] }, { "id": "the-principles-behind-ai-search", "heading": "The principles behind AI Search", "type": "section", "items": [ "Traditional search helps you find pages.", "AI Search helps you find and understand information." ], "content": [ { "type": "paragraph", "text": "The technology behind AI Search is complex, but the underlying idea is straightforward. Rather than relying primarily on keyword matching, AI Search attempts to understand what someone is asking, retrieve information that answers the question and present a clear, useful response. In simple terms:" } ] }, { "id": "what-it-does", "heading": "What it does", "type": "section", "parent_id": "the-principles-behind-ai-search", "parent_heading": "The principles behind AI Search", "content": [ { "type": "paragraph", "text": "Uses artificial intelligence to understand questions and generate useful answers." } ] }, { "id": "where-it-appears", "heading": "Where it appears", "type": "section", "parent_id": "the-principles-behind-ai-search", "parent_heading": "The principles behind AI Search", "content": [ { "type": "paragraph", "text": "Google AI Overviews, ChatGPT, Perplexity, Microsoft Copilot and other AI-powered search and assistant tools." } ] }, { "id": "key-technologies", "heading": "Key technologies", "type": "section", "parent_id": "the-principles-behind-ai-search", "parent_heading": "The principles behind AI Search", "content": [ { "type": "paragraph", "text": "Semantic search, retrieval, generative AI, large language models and structured data." } ] }, { "id": "still-relies-on-websites", "heading": "Still relies on websites?", "type": "section", "parent_id": "the-principles-behind-ai-search", "parent_heading": "The principles behind AI Search", "content": [ { "type": "paragraph", "text": "Yes. AI Search depends on reliable information published across the web." } ] }, { "id": "does-it-replace-seo", "heading": "Does it replace SEO?", "type": "section", "parent_id": "the-principles-behind-ai-search", "parent_heading": "The principles behind AI Search", "content": [ { "type": "paragraph", "text": "No. It changes how search works, but many SEO fundamentals remain important." } ] }, { "id": "how-is-ai-search-different-from-traditional-search", "heading": "How is AI Search different from traditional search?", "type": "section", "key_points": [ "Traditional search engines help people discover webpages.", "AI Search helps people find and understand information.", "That doesn’t mean traditional search has disappeared." ], "content": [ { "type": "paragraph", "text": "Traditional search engines help people discover webpages. AI Search helps people find and understand information. That doesn’t mean traditional search has disappeared. In reality, the two approaches now work alongside one another. Google, for example, may display an AI-generated summary at the top of the page, followed by traditional search results underneath. Although the experience is changing, both approaches still rely on the web. The main difference is how information is presented and how people interact with it." } ] }, { "id": "traditional-search", "heading": "Traditional search", "type": "section", "parent_id": "how-is-ai-search-different-from-traditional-search", "parent_heading": "How is AI Search different from traditional search?", "items": [ "Looks for pages matching keywords", "Returns a ranked list of links", "People usually visit several websites", "Rankings are the primary focus", "Pages compete for clicks" ] }, { "id": "where-do-you-encounter-ai-search", "heading": "Where do you encounter AI Search?", "type": "section", "content": [ { "type": "paragraph", "text": "AI Search isn’t a single tool or product. It’s a way of finding, understanding and presenting information that now appears across a growing range of platforms. Each platform has its own approach, but they all aim to make finding information quicker and more natural." } ] }, { "id": "google-ai-overviews", "heading": "Google AI Overviews", "type": "introduction", "parent_id": "where-do-you-encounter-ai-search", "parent_heading": "Where do you encounter AI Search?", "content": [ { "type": "paragraph", "text": "For many people, Google AI Overviews are the most visible example of AI Search. They appear above traditional search results for many informational searches, providing AI-generated summaries alongside links to supporting sources." } ] }, { "id": "ChatGPT", "heading": "ChatGPT", "type": "section", "parent_id": "where-do-you-encounter-ai-search", "parent_heading": "Where do you encounter AI Search?", "content": [ { "type": "paragraph", "text": "ChatGPT answers questions conversationally. When web search is available, it can retrieve current information from across the web before generating a response." } ] }, { "id": "perplexity", "heading": "Perplexity", "type": "section", "parent_id": "where-do-you-encounter-ai-search", "parent_heading": "Where do you encounter AI Search?", "content": [ { "type": "paragraph", "text": "Perplexity combines web search with AI-generated answers and places a strong emphasis on citing the sources used to create its responses." } ] }, { "id": "microsoft-copilot", "heading": "Microsoft Copilot", "type": "section", "parent_id": "where-do-you-encounter-ai-search", "parent_heading": "Where do you encounter AI Search?", "content": [ { "type": "paragraph", "text": "Microsoft Copilot integrates AI-powered search into Bing, Windows and Microsoft 365, helping people find information across the web and within their own documents." } ] }, { "id": "other-ai-assistants", "heading": "Other AI assistants", "type": "section", "parent_id": "where-do-you-encounter-ai-search", "parent_heading": "Where do you encounter AI Search?", "content": [ { "type": "paragraph", "text": "Many other AI-powered tools also use search, retrieval or external sources to answer questions. Each platform works a little differently, but they all aim to help people find information more quickly and easily." } ] }, { "id": "how-does-ai-search-work", "heading": "How does AI Search work?", "type": "section", "content": [ { "type": "paragraph", "text": "Although every AI Search platform uses different technology, most follow a similar process for answering questions." } ] }, { "id": "1-understanding-the-question", "heading": "1. Understanding the question", "type": "section", "parent_id": "how-does-ai-search-work", "parent_heading": "How does AI Search work?", "items": [ "Which CMS is best for a university website?", "What website platform should a university use?", "What's the best content management system for higher education?" ], "content": [ { "type": "paragraph", "text": "Rather than matching exact keywords, AI Search first analyses what someone is trying to achieve. For example, these questions are all asking for closely related information: A traditional search engine might treat these as different searches because the wording changes. AI Search can recognise that the underlying intent is largely the same. This ability to understand meaning rather than individual words is known as semantic search." } ] }, { "id": "2-retrieving-relevant-information", "heading": "2. Retrieving relevant information", "type": "section", "parent_id": "how-does-ai-search-work", "parent_heading": "How does AI Search work?", "content": [ { "type": "paragraph", "text": "Many AI systems do not rely solely on information learned during training. Instead, they retrieve current, relevant information from trusted sources before generating a response. This process is known as retrieval. In many modern AI systems, retrieval forms part of a technique called Retrieval-Augmented Generation (RAG). Retrieval helps AI produce more accurate and up-to-date responses while allowing it to reference the original source of information where appropriate.nown as semantic search." } ] }, { "id": "3-generating-a-response", "heading": "3. Generating a response", "type": "section", "parent_id": "how-does-ai-search-work", "parent_heading": "How does AI Search work?", "content": [ { "type": "paragraph", "text": "Once relevant information has been gathered, the AI generates a readable response. Rather than copying a single webpage, it may combine information from multiple sources into one clear explanation. Many AI Search tools also include citations or links, allowing people to explore the original sources in more detail." } ] }, { "id": "in-simple-terms", "heading": "In simple terms", "type": "section", "parent_id": "how-does-ai-search-work", "parent_heading": "How does AI Search work?", "items": [ "A person asks a question.", "AI analyses the intent behind the question.", "Relevant information is retrieved.", "AI generates a response.", "Sources may be cited." ], "content": [ { "type": "paragraph", "text": "The process usually follows these steps:" } ] }, { "id": "how-does-ai-know-which-information-to-trust", "heading": "How does AI know which information to trust?", "type": "section", "items": [ "Clear authorship", "Recognised organisations or subject experts", "Consistent information across multiple sources", "High-quality, well-written content", "Well-organised website structure", "Technical accessibility", "Structured data", "References and citations from trusted websites" ], "content": [ { "type": "paragraph", "text": "AI Search systems cannot independently verify whether every statement on the web is true. Instead, they evaluate a range of signals to identify the information that appears most reliable, authoritative and relevant to the question someone has asked. These signals vary between platforms and are not always public, but they often relate to the quality, clarity and consistency of the information available. Whether AI references a page depends on many different signals rather than a single ranking factor. Together, those signals help AI Search identify sources that appear reliable, trustworthy and relevant to the question." } ] }, { "id": "why-doesnt-ai-search-always-get-it-right", "heading": "Why doesn’t AI Search always get it right?", "type": "section", "items": [ "Different sources provide conflicting information", "Reliable sources are limited", "Context is misunderstood", "Older information is retrieved", "AI incorrectly combines information from different sources" ], "content": [ { "type": "paragraph", "text": "AI Search isn’t perfect. Even when information is retrieved from reliable sources, it can occasionally produce inaccurate or incomplete responses. For this reason, important decisions should still be verified using trusted sources. Publishing clear, accurate and regularly maintained information helps reduce ambiguity and makes it easier for AI systems to retrieve reliable answers." } ] }, { "id": "what-is-semantic-search", "heading": "What is semantic search?", "type": "section", "items": [ "Accessible web design", "WCAG compliance", "Inclusive websites", "Digital accessibility" ], "content": [ { "type": "paragraph", "text": "One of the biggest differences between traditional keyword-based search and AI Search is the move from matching words to understanding meaning. Semantic search moves beyond simple keyword matching. It looks at the concepts, relationships and intent behind a question to better understand what someone is trying to find. For example, instead of asking, “Do these words match?”, semantic search asks, “What is this person really trying to find?” For example, the following topics are closely related: Although each phrase uses different terminology, they all describe closely connected concepts. AI Search can recognise those relationships and understand that someone searching for one topic may also find the others relevant. This means organisations benefit from writing naturally, covering a topic thoroughly and using clear, descriptive language rather than repeating the same keyword throughout a page. This isn’t an entirely new idea. Google has been evolving beyond simple keyword matching for many years. The Hummingbird update in 2013 marked a significant move towards interpreting what people were really searching for, while later advances such as BERT (2019) and MUM (2021) further improved Google’s understanding of language, context and relationships between concepts. AI Search builds on those foundations, placing even greater emphasis on understanding intent, context and meaning. Rather than looking only at the words someone uses, it aims to understand the question they’re really asking." } ] }, { "id": "what-is-structured-data-and-why-does-it-matter", "heading": "What is structured data and why does it matter?", "type": "section", "items": [ "Organisations", "People", "Services", "Events", "Articles", "Products", "FAQs" ], "content": [ { "type": "paragraph", "text": "Search engines and AI systems don’t just read the visible content on a page. Structured data provides additional information that helps them understand what that content represents. It is usually implemented using the Schema.org vocabulary and added to webpages as machine-readable code that isn’t visible to visitors but can be interpreted by search engines and AI systems. Structured data allows websites to identify and label information such as: Rather than simply reading the words on a page, structured data helps machines understand what those words represent. For example, it can identify whether a name refers to a person or an organisation, whether a page describes a service or an article, or whether a date relates to an event. This additional context helps search engines and AI systems understand webpages and the relationships between organisations, people, services and topics more accurately. Structured data does not tell AI what to say, nor does it guarantee inclusion in AI-generated answers. Instead, it is one of many signals used alongside well-written content, technical quality and other indicators of trust to help machines interpret information more accurately. Think of structured data as clear labelling rather than hidden instructions. It helps machines recognise what information represents and how different pieces of content relate to one another, making webpages easier for search engines and AI systems to understand." } ] } ], "entities": [ { "name": "Retrieval-Augmented Generation (RAG)", "type": "Technology" }, { "name": "Google AI Overviews", "type": "Product" }, { "name": "Traditional search", "type": "Topic" }, { "name": "Microsoft Copilot", "type": "Product" }, { "name": "Semantic search", "type": "Concept" }, { "name": "Structured data", "type": "Topic" }, { "name": "Google Search", "type": "Topic" }, { "name": "Perplexity", "type": "Product" }, { "name": "Schema.org", "type": "Standard" }, { "name": "AI Search", "type": "Topic" }, { "name": "ChatGPT", "type": "Product" }, { "name": "SEO", "type": "Topic" } ], "concept_relationships": [ { "subject": "AI Search", "predicate": "evaluates", "object": "trust signals such as authorship, consistency, and references" }, { "subject": "AI Search", "predicate": "appears in", "object": "Google AI Overviews, ChatGPT, Perplexity, Microsoft Copilot" }, { "subject": "Semantic search", "predicate": "builds on", "object": "Google's Hummingbird, BERT, and MUM updates" }, { "subject": "Structured data", "predicate": "implemented using", "object": "Schema.org vocabulary" }, { "subject": "AI Search", "predicate": "uses", "object": "Retrieval-Augmented Generation (RAG)" }, { "subject": "Structured data", "predicate": "helps", "object": "search engines and AI systems" }, { "subject": "AI Search", "predicate": "evolves", "object": "websites and digital content" }, { "subject": "AI Search", "predicate": "builds on", "object": "SEO principles" }, { "subject": "AI Search", "predicate": "depends on", "object": "websites" } ], "implementation_patterns": [ { "pattern": "Retrieval-Augmented Generation (RAG)", "description": "AI systems retrieve current, relevant information from trusted sources before generating a response, allowing them to reference original sources.", "benefit": "Produces more accurate and up-to-date responses with source citations." }, { "pattern": "Understanding the question", "description": "AI Search analyses the intent behind a query rather than matching exact keywords, allowing it to handle variations in phrasing.", "benefit": "Provides more relevant answers to users even when they use different wording." }, { "pattern": "Well-organised information", "description": "Structuring content so that entities and relationships are clear to machines.", "benefit": "Improves machine interpretation and potential for inclusion in AI answers." }, { "pattern": "Useful content", "description": "Publishing accurate, trustworthy and genuinely useful information that answers questions clearly.", "benefit": "Increases the likelihood of being recognised as a trusted source." }, { "pattern": "Retrieving relevant information", "description": "AI Search retrieves information from multiple sources, potentially combining or summarising content.", "benefit": "Users receive comprehensive answers without needing to visit multiple websites." }, { "pattern": "Semantic search", "description": "Moves beyond keyword matching to understand concepts, relationships and intent behind a question.", "benefit": "Better matches user intent and connects related topics." }, { "pattern": "Strong technical foundations", "description": "Ensuring website performance, accessibility and technical quality are maintained.", "benefit": "Supports both traditional SEO and AI Search understanding." }, { "pattern": "Generating a response", "description": "AI models generate a clear, direct answer or summary based on the retrieved information.", "benefit": "Users get immediate answers, improving efficiency." } ], "practical_guidance": [ { "guidance": "Organisations benefit from writing naturally, covering a topic thoroughly and using clear, descriptive language rather than repeating the same keyword throughout a page.", "importance": "medium" }, { "guidance": "Understand that AI Search aims to understand the intent behind a question and provide a direct answer, so content should be structured to answer questions clearly.", "importance": "high" }, { "guidance": "Publishing clear, accurate and regularly maintained information helps reduce ambiguity and makes it easier for AI systems to retrieve reliable answers.", "importance": "high" }, { "guidance": "Important decisions should still be verified using trusted sources, as AI Search can occasionally produce inaccurate or incomplete responses.", "importance": "high" }, { "guidance": "Recognise that different AI Search platforms have different approaches, so consider how content may be presented across various platforms.", "importance": "medium" }, { "guidance": "Use structured data to help machines understand webpage content, but do not rely on it as a guarantee of inclusion in AI answers.", "importance": "medium" }, { "guidance": "Continue to create accurate, trustworthy and genuinely useful content supported by strong technical foundations.", "importance": "high" }, { "guidance": "Implement structured data using Schema.org vocabulary to help search engines and AI systems understand content.", "importance": "medium" } ], "risk_areas": [ { "risk": "AI Search may provide answers that draw on multiple sources, potentially reducing the need for users to visit original websites.", "impact": "Websites may see reduced click-through rates if users receive sufficient information directly from AI-generated summaries." }, { "risk": "Different AI Search platforms work differently, leading to inconsistent user experiences and expectations.", "impact": "Organisations may find it challenging to optimise for all platforms simultaneously." }, { "risk": "AI Search may retrieve conflicting information from different sources", "impact": "Responses may be inaccurate or incomplete" }, { "risk": "Misunderstanding structured data as a guarantee of inclusion", "impact": "Organisations may over-rely on structured data without focusing on content quality." }, { "risk": "AI-generated answers may not include all sources", "impact": "Websites may not be cited even if their content is used." }, { "risk": "Zero-click search may reduce website visits", "impact": "Organisations may see fewer direct visits but can still benefit from visibility and brand awareness." }, { "risk": "Ignoring AI Search in digital strategy", "impact": "Organisations may miss opportunities for visibility in AI-generated responses." }, { "risk": "AI Search may misunderstand context", "impact": "Responses may not address the user's actual intent" } ], "common_misconceptions": [ { "misconception": "AI Search can independently verify whether every statement on the web is true.", "clarification": "AI Search systems cannot independently verify truth; they evaluate signals to identify information that appears most reliable, authoritative and relevant." }, { "misconception": "AI Search relies solely on information learned during training.", "clarification": "Many AI systems retrieve current, relevant information from trusted sources before generating a response, using techniques like RAG." }, { "misconception": "Semantic search is a new idea introduced by AI Search.", "clarification": "Google has been evolving beyond keyword matching for years, with updates like Hummingbird (2013), BERT (2019), and MUM (2021)." }, { "misconception": "AI Search replaces traditional search.", "clarification": "Traditional search has not disappeared; both approaches work alongside one another, with Google often displaying AI summaries above traditional results." }, { "misconception": "AI Search does not rely on websites.", "clarification": "AI Search depends on reliable information published across the web." }, { "misconception": "Structured data tells AI what to say", "clarification": "Structured data is clear labelling that helps machines interpret information, not hidden instructions." } ], "technical_context": { "key_technologies": [ "Semantic search", "Retrieval", "Generative AI", "Large language models", "Structured data" ], "process_steps": [ "Understanding the question", "Retrieving relevant information", "Generating a response" ], "retrieval": "Many AI systems retrieve current, relevant information from trusted sources before generating a response, often using Retrieval-Augmented Generation (RAG).", "trust_signals": "AI Search evaluates signals such as clear authorship, recognised organisations, consistent information, high-quality content, well-organised website structure, technical accessibility, structured data, and references.", "semantic_search": "Semantic search moves beyond keyword matching to understand concepts, relationships and intent.", "structured_data": "Machine-readable information that helps search engines and AI systems understand webpage content, including entities such as organisations, people, services, events, articles, products and FAQs.", "zero_click_search": "A situation where people find the information they need without visiting the original website.", "retrieval_augmented_generation": "A technique that combines information retrieval with AI-generated responses.", "large_language_model": "An AI model trained to understand and generate human language.", "further_resources": [ "Google Search Central documentation", "Schema.org vocabulary", "W3C Web Accessibility Initiative" ] }, "reasoning_paths": [ { "user_problem": "Difficulty in finding information online due to keyword-based search limitations", "evidence_refs": [ "claim-001", "claim-003", "claim-004" ], "relevant_sections": [ "overview", "the-principles-behind-ai-search", "where-do-you-encounter-ai-search" ] }, { "user_problem": "Navigating the variety of AI Search platforms and their different approaches", "evidence_refs": [ "claim-005", "claim-001", "claim-002" ], "relevant_sections": [ "how-is-ai-search-different-from-traditional-search", "how-does-ai-search-work", "1-understanding-the-question" ] }, { "user_problem": "Understanding how AI Search differs from traditional search", "evidence_refs": [ "claim-006", "claim-002", "claim-003" ], "relevant_sections": [ "the-principles-behind-ai-search", "how-is-ai-search-different-from-traditional-search", "1-understanding-the-question" ] }, { "user_problem": "AI incorrectly combines information from different sources", "evidence_refs": [ "claim-004", "claim-001", "claim-003" ], "relevant_sections": [ "why-doesnt-ai-search-always-get-it-right", "how-does-ai-know-which-information-to-trust", "how-is-ai-search-different-from-traditional-search" ] } ], "knowledge_hub": { "page_type": "guide", "learning_intent": "AI Search uses artificial intelligence to understand the intent behind a question before retrieving and presenting relevant information, aiming to provide clear, direct answers rather than just a list of webpages.", "topic_hierarchy": { "primary": "AI Search and its 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