--- title: "AI Search Market Statistics 2026: Verified Data & Trends" url: https://alicelabs.ai/en/insights/ai-search-market-2026-statistics description: "AI search market statistics for 2026: verified market sizing, platform launch timeline, zero-click data, and what marketers should actually optimize for." lang: en --- Alice Labs (https://alicelabs.ai/en/) Services What we do (https://alicelabs.ai/#welcome)About Alice (https://alicelabs.ai/#who-we-are)Case (https://alicelabs.ai/en/case)Insights (https://alicelabs.ai/en/insights)Contact (https://alicelabs.ai/#email-form) AI Search & LLMO Data & Research Fresh Last reviewed: 18 September 2026 · 19d ago # AI Search Market Statistics 2026: A Verified Data Snapshot ## TL;DR Quick Answer Cited by AI > The global LLM market is projected to grow from USD 1.44B (2023) to USD 22.07B by 2030 at 48.8% CAGR (Grand View Research). LLMOps tooling is forecast to reach USD 14.2B by 2035 (Marketgenics). Around 60% of Google searches now end without a click (SparkToro 2024). How big is the AI search market in 2026 - really? This article maps verified market sizing, platform launches, and user-behavior data. We avoid the made-up percentages and stick to what is measurable. The AI search market refers to the ecosystem of generative search products (ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot, Anthropic Claude) and the underlying LLM and LLMOps tooling that powers them. There is no single panel-based dataset for AI search query share. Verified market data exists for LLM market sizing, LLMOps tooling, and user click behavior. Image: Linus Ingemarsson - Author at Alice Labs (https://alicelabs.ai/images/linus-ingemarsson.png) Written by Linus Ingemarsson: https://www.linkedin.com/in/linus-ingemarsson/ Image: Eric Lundberg - Reviewer at Alice Labs (https://alicelabs.ai/images/eric-lundberg.png) Reviewed by Eric Lundberg: https://www.linkedin.com/in/eric-lundberg-3530451bb/ Published May 6, 2026 · Updated September 18, 2026 12 min read USD 22.07B Projected global LLM market by 2030 Grand View Research (48.8% CAGR from USD 1.44B in 2023): https://www.grandviewresearch.com/ ~60% Google searches ending without a click (US/EU) SparkToro / Datos 2024: https://sparktoro.com/blog/in-2024-we-finally-satisfyingly-measured-how-much-of-google-search-traffic-goes-to-google-properties/ May 2024 Google AI Overviews broad launch Google I/O 2024: https://blog.google/ What you'll learn(6 points) - Why 'AI search market size' is genuinely hard to measure in 2026 - Verified market sizing for LLM tools and LLMOps tooling through 2030 and 2035 - The full AI search platform launch timeline from Bing Chat through ChatGPT Search - What user-behavior research actually shows about zero-click and AI answers - The strategic LLMO investment thesis based on verified data, not hype - Which sources are credible and which to avoid when building your own view ## Key Takeaways - The global LLM market is projected to grow from USD 1.44B (2023) to USD 22.07B by 2030 at a 48.8% CAGR (Grand View Research). - LLMOps tooling is forecast to grow from USD 2.8B (2025) to USD 14.2B by 2035 (Marketgenics). - Google AI Overviews launched broadly in May 2024 and triggers on a subset of queries — not all of them. - ChatGPT Search launched on October 31, 2024, two years after the original ChatGPT chatbot. - Bing Chat launched on February 7, 2023, then rebranded to Copilot in November 2023. - Perplexity AI was founded in 2022 with inline citations as its core differentiator from day one. - Roughly 60% of Google searches end without a click (SparkToro 2024 — 58.5% US, 59.7% EU). - Aggarwal et al. (arXiv:2311.09735) demonstrated up to 40% visibility lift from generative engine optimization techniques. 01 / 06 Chapter ## Why the 'AI Search Market' Is Hard to Measure in 2026 There is no shared definition of an 'AI search,' no neutral panel covering all engines, and most user numbers come directly from the platforms themselves. As a result, headline 'AI search market share' figures are usually estimates, not measurements. "AI search" is not one product. It spans chat assistants, retrieval tools, and AI features bolted onto traditional search engines. That definitional fuzziness is the first measurement problem. Different vendors count usage in incompatible units. - **Different unit definitions.** Is one "search" a session, a query, or a single turn in a long conversation? Each platform counts differently. - **Bundled distribution.** Microsoft Copilot is embedded across Edge, Windows, and Microsoft 365. Many of those interactions never resemble "search" in any panel. - **First-party-only data.** Most user numbers come directly from the platforms. Independent verification is limited to indirect traffic signals. What we can measure with confidence: market sizing for the underlying LLM and LLMOps layers, platform launch dates, and click-behavior research from methodology-transparent studies. What we cannot reliably measure: query-level share between ChatGPT, Perplexity, and Google AI Overviews. We do not invent those numbers in this article. Teams that want a defensible playbook for showing up inside those surfaces typically start with our enterprise ai seo (https://alicelabs.ai/en/ai-seo) engagement, which pairs citation-gap measurement with structural content fixes. 02 / 06 Chapter ## Market Size: The LLM Layer (USD 22.07B by 2030) In short Grand View Research projects the global LLM market to grow from USD 1.44 billion in 2023 to USD 22.07 billion by 2030 — a 48.8% compound annual growth rate. This sizes the engine layer that powers AI search. The clearest verified data on AI search comes from the underlying large language model market. This is the engine layer that powers ChatGPT, Perplexity, Gemini, Claude, and Copilot. Grand View Research sized the global LLM market at USD 1.44 billion in 2023. It projects USD 22.07 billion by 2030. That implies a 48.8% compound annual growth rate over seven years. This is one of the highest CAGRs reported in any enterprise software category today. Why this matters for AI search: the LLM market sizing is the closest verified proxy for the AI-answer-engine layer. If LLM spend grows 15x by 2030, the deployed surface area for AI search grows with it. This figure does not include LLMOps tooling, vector databases, or consumer subscription revenue. It captures the model and platform layer only. | Year | Market size (USD) | Notes | | --- | --- | --- | | 2023 | USD 1.44B | Reported baseline | | 2024-2029 | Compounding at ~48.8% CAGR | Forecast trajectory | | 2030 | USD 22.07B | Projected ~15x growth from 2023 | Source: Grand View Research — Global LLM market sizing (https://www.grandviewresearch.com/) Image: Linus Ingemarsson (https://alicelabs.ai/images/linus-ingemarsson.png) Image: Eric Lundberg (https://alicelabs.ai/images/eric-lundberg.png) Alice Labs practitioner team ## Talk to the team behind 100+ AI implementations 30-minute discovery call with a senior Alice Labs consultant. No slide deck, no sales pitch — just a scoping conversation. Book a Discovery Call 03 / 06 Chapter ## Market Size: LLMOps Tooling (USD 14.2B by 2035) In short Marketgenics forecasts the LLMOps tools market to grow from USD 2.8 billion in 2025 to USD 14.2 billion by 2035. LLMOps is the deployment, observability, and governance layer that operationalizes LLMs in production. The LLM market sizing covers the model layer. LLMOps covers everything that makes those models usable in production. That includes prompt management, evaluation, observability, guardrails, fine-tuning workflows, and retrieval pipelines. Marketgenics sized the LLMOps tools market at USD 2.8 billion in 2025. It projects USD 14.2 billion by 2035. This is roughly a 5x expansion across a decade. Slower than the raw LLM CAGR, but on a longer time horizon. Why this matters for AI search: enterprises are building internal search and assistant systems on top of LLMs. The LLMOps layer is what lets them ship those systems safely and measure them. For marketing teams, the takeaway is structural. AI search is not a passing feature. The supporting tooling market alone is in double-digit billions. 04 / 06 Chapter ## AI Search Platform Launch Timeline In short AI search began with Bing Chat in February 2023, expanded with the rebrand to Copilot in November 2023, was joined by Google AI Overviews in May 2024, and reached scale when ChatGPT Search launched on October 31, 2024. Perplexity AI has been citation-led since its 2022 founding. The AI search market formed in roughly 24 months. The launch timeline below uses only verified, public dates. - **2022 — Perplexity AI founded.** The company has led with inline source citations from day one. - **February 7, 2023 — Bing Chat launches.** Microsoft introduces conversational AI in Bing, powered by OpenAI models. - **November 2023 — Bing Chat rebrands to Copilot.** Microsoft consolidates its AI assistants under one brand and expands distribution. - **May 2024 — Google AI Overviews broad launch.** Google's generative answers (formerly SGE) appear in mainstream search results on a subset of queries. - **September 2024 — llms.txt proposal published.** An open proposal for sites to expose LLM-friendly summaries — an early signal of an "AI-search-aware" web. - **October 31, 2024 — ChatGPT Search launches.** OpenAI ships citation-led search inside ChatGPT, rolling out to Pro users first and free users by December 2024. Two patterns matter. First, citation behavior arrived in roughly 18 months across the major engines. Second, distribution moved faster than measurement infrastructure could follow. | Date | Event | Significance | | --- | --- | --- | | 2022 | Perplexity AI founded | Citation-led answer engine | | Feb 7, 2023 | Bing Chat launches | First mainstream AI search at scale | | Nov 2023 | Bing Chat rebrands to Copilot | Microsoft consolidates AI distribution | | May 2024 | Google AI Overviews broad launch | AI answers reach mainstream Google | | Sep 2024 | llms.txt proposal published | Open standard for LLM-readable site summaries | | Oct 31, 2024 | ChatGPT Search launches | OpenAI enters citation-led search | Source: Compiled from official platform announcements Alice Labs practitioner team ## Want to know if you're cited by AI engines today? We benchmark your brand against 100 SaaS peers in the Alice Labs LLMO Citation Benchmark - across ChatGPT, Perplexity, Claude, and Gemini. Request a citation benchmark 05 / 06 Chapter ## User Behavior: Zero-Click Searches and AI Answers In short SparkToro's 2024 zero-click study measured roughly 58.5% of Google searches in the US and 59.7% in the EU ending without a click to any external website. AI Overviews and AI answers extend this pattern by satisfying intent inside the result page. User behavior data is more verifiable than market share splits. The most-cited recent study is SparkToro's 2024 zero-click analysis. That study, run with Datos panel data, measured roughly 58.5% of US Google searches and 59.7% of EU Google searches ending without a click to an external website. We refer to this as "around 60%." Note that this measurement predates the broad rollout of AI Overviews in May 2024. Generative answers extend the same zero-click pattern by satisfying user intent inside the SERP. For publishers and marketing teams, the strategic implication is blunt. Visibility inside the answer increasingly matters more than the click out. Aggarwal et al. (2024, arXiv:2311.09735) showed that targeted generative engine optimization techniques can lift visibility by up to 40%. That research is the academic anchor for what is now called LLMO or GEO. We deliberately do not quote precise CTR drops for AI Overviews. Public data on that is fragmented and methodology-inconsistent today. 06 / 06 Chapter ## Strategic Implications: The LLMO Investment Thesis In short The verified data points to a simple thesis: invest in LLMO now while measurement is fragmented. Market sizing supports a multi-year horizon, zero-click rates are climbing, and the same content fundamentals work across all major engines. Pull the verified data together and a coherent investment thesis for LLMO emerges. The LLM market is projected to 15x by 2030 (Grand View Research). LLMOps tooling is projected to roughly 5x by 2035 (Marketgenics). Roughly 60% of Google searches already end without a click (SparkToro 2024). Three strategic conclusions follow. - **Distribution beats novelty.** Google's existing search dominance and Microsoft's bundled Copilot footprint mean both can scale AI search without net-new user acquisition. - **Citation visibility compounds.** As zero-click extends from traditional SERPs to AI answers, brand presence inside the answer becomes the conversion surface. - **The fundamentals overlap.** Entity clarity, Schema.org markup, FAQ blocks, freshness signals, and citation-rich writing improve performance across all five major engines. For marketing teams, the action is unchanged from 2024-2025. Build content that is entity-clear, structurally marked up, and citation-rich. Then measure citation share on the engines that actually send qualified visitors to your business — our directory of ai content optimization tools (https://alicelabs.ai/en/insights/ai-content-optimization-tools) covers the software layer that operationalises this at scale. ## About the Authors & Reviewers Written by Image: Linus Ingemarsson - CEO & Co-Founder, Alice Labs at Alice Labs (https://alicelabs.ai/images/linus-ingemarsson.png) Linus Ingemarsson (https://www.linkedin.com/in/linus-ingemarsson/) CEO & Co-Founder, Alice Labs CEO & Co-Founder at Alice Labs. Author of 7 research reports on AI adoption, governance and labor markets cited across EU, OECD and US benchmarks. - 8+ years in AI strategy & implementation - Top-5 AI Speaker, Sweden (Mindley 2025) - 100+ enterprise AI engagements View profile: https://www.linkedin.com/in/linus-ingemarsson/ Linus Ingemarsson on LinkedIn: https://www.linkedin.com/in/linus-ingemarsson/ Email Linus Ingemarsson: linus@alicelabs.ai Reviewed by September 18, 2026 Image: Eric Lundberg - Co-Founder, Alice Labs at Alice Labs (https://alicelabs.ai/images/eric-lundberg.png) Eric Lundberg (https://www.linkedin.com/in/eric-lundberg-3530451bb/) Co-Founder, Alice Labs Co-Founder at Alice Labs. Builds AI automation, agent workflows and integration systems that hold up in real business operations. - AI automation & agent systems lead - Workflow design across 100+ deployments - Specialist in RAG, integrations & APIs View profile: https://www.linkedin.com/in/eric-lundberg-3530451bb/ Eric Lundberg on LinkedIn: https://www.linkedin.com/in/eric-lundberg-3530451bb/ Email Eric Lundberg: eric@alicelabs.ai Reviewed for technical accuracy, methodology and source integrity. · All claims trace to public sources cited in-line. ## Frequently Asked Questions ### How big is the AI search market in 2026? There is no single 'AI search market' size figure that is verifiable today. The closest verified proxies are the global LLM market (projected USD 22.07B by 2030 at 48.8% CAGR, Grand View Research) and the LLMOps tools market (projected USD 14.2B by 2035, Marketgenics). Anyone publishing a single 'AI search market size' number should disclose their methodology. ### What is the projected growth rate of the LLM market? Grand View Research projects a 48.8% compound annual growth rate for the global LLM market between 2023 and 2030 — from USD 1.44 billion to USD 22.07 billion. This is one of the highest CAGRs reported across enterprise software categories. ### When did Google AI Overviews launch? Google AI Overviews (formerly Search Generative Experience, SGE) launched broadly in May 2024 at Google I/O. It triggers on a subset of Google queries, not all of them, and the trigger conditions have evolved since launch. ### When did ChatGPT Search launch? ChatGPT Search launched on October 31, 2024. It rolled out first to ChatGPT Pro users and reached free-tier users by December 2024. ChatGPT itself (the chatbot) launched in November 2022, two years before the search feature. ### What is the verified zero-click search statistic? SparkToro's 2024 zero-click study, conducted with Datos panel data, measured roughly 58.5% of Google searches in the US and 59.7% in the EU ending without a click to any external website. We refer to this rounded as 'around 60%' and treat it as the baseline trend through 2026. ### What does the Aggarwal et al. 2024 GEO paper actually show? Aggarwal and co-authors (arXiv:2311.09735, 2024) tested several content techniques — citing sources, adding relevant statistics, quoting authoritative voices — and measured up to 40% lift in visibility across generative engines. It is the academic anchor for generative engine optimization (GEO), the discipline now also called LLMO. ### What is llms.txt and why does it matter for AI search? llms.txt is an open proposal published in September 2024 for websites to expose a Markdown summary file that LLMs can use to find and understand site content efficiently. It is an early signal of an 'AI-search-aware' web — sites making their content explicitly LLM-readable. Adoption is still growing. ### Should I trust 'AI search market share' percentages I see online? Be skeptical. There is no methodology-transparent panel that publishes platform-level AI search share. Different sources use different definitions of a 'search,' different unit counts, and different time windows. Most precise percentages you see are vendor estimates rather than measured data. Previous in AI Search & LLMO ### AI Overview Trigger Rate: Which Queries Show AI Answers? https://alicelabs.ai/en/insights/ai-overview-trigger-rate Next in AI Search & LLMO ### AI Search Optimization for Agencies & Consultancies (2026) https://alicelabs.ai/en/insights/ai-search-optimization-agencies ## Further reading - GEO: Generative Engine Optimization (Aggarwal et al., 2024) (https://arxiv.org/abs/2311.09735)· arxiv.org - llms.txt — official proposal (https://llmstxt.org/)· llmstxt.org - SparkToro — 2024 zero-click search study (https://sparktoro.com/blog/in-2024-we-finally-satisfyingly-measured-how-much-of-google-search-traffic-goes-to-google-properties/)· sparktoro.com ## Related reading data ### AI Search Engine Market Share 2026: Verified Data Sister data article on platform-level AI search dynamics in 2026. 12 min https://alicelabs.ai/en/insights/ai-search-engine-market-share-2026 glossary ### What Is LLMO? Large Language Model Optimization Explained Glossary definition of LLMO — the overarching discipline behind AI search visibility. 7 min https://alicelabs.ai/en/insights/what-is-llmo pillar ### AI Search Optimization: Complete Guide for 2026 Full playbook covering ChatGPT, Perplexity, Claude, and Google AI Overviews. 14 min https://alicelabs.ai/en/insights/ai-search-optimization-guide ## Sources 1. Grand View Research — Global LLM Market Sizing (USD 1.44B in 2023 → USD 22.07B by 2030, 48.8% CAGR) (https://www.grandviewresearch.com/)(accessed 2026-05-06) 2. Marketgenics — LLMOps Tools Market Forecast (USD 2.8B in 2025 → USD 14.2B by 2035) (https://www.marketgenics.com/)(accessed 2026-05-06) 3. Aggarwal et al. — GEO: Generative Engine Optimization (arXiv:2311.09735, 2024) (https://arxiv.org/abs/2311.09735)(accessed 2026-05-06) 4. llms.txt — official proposal (September 2024) (https://llmstxt.org/)(accessed 2026-05-06) 5. SparkToro / Datos — 2024 zero-click search analysis (~58.5% US / ~59.7% EU) (https://sparktoro.com/blog/in-2024-we-finally-satisfyingly-measured-how-much-of-google-search-traffic-goes-to-google-properties/)(accessed 2026-05-06) 6. Google — AI Overviews broad launch (May 2024) (https://blog.google/)(accessed 2026-05-06) 7. OpenAI — ChatGPT Search launch (October 31, 2024) (https://openai.com/)(accessed 2026-05-06) 8. Microsoft — Bing Chat (February 7, 2023) and Copilot rebrand (November 2023) (https://blogs.microsoft.com/)(accessed 2026-05-06) 9. Perplexity AI — official product information (founded 2022) (https://www.perplexity.ai/)(accessed 2026-05-06) 10. Alice Labs — LLMO Citation Benchmark (100 SaaS brands quarterly; 100+ Nordic implementations) (https://alicelabs.ai/)(accessed 2026-05-06) Next scheduled review: 2026-12-17 Alice Labs practitioner team ## Get the Alice Labs view on AI search visibility We help Nordic enterprise teams measure and improve their citation share across ChatGPT, Perplexity, Claude, and Gemini - with a transparent methodology. Explore AI Search services Share Share on LinkedIn (https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Falicelabs.ai%2Fen%2Finsights%2Fai-search-market-2026-statistics)Share on X (https://twitter.com/intent/tweet?url=https%3A%2F%2Falicelabs.ai%2Fen%2Finsights%2Fai-search-market-2026-statistics&text=AI%20Search%20Market%20Statistics%202026%3A%20Verified%20Data%20%26%20Trends) ## Get in Touch! The lab usually responds within 24 hours. Need help with AI? 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The closest verified proxies are the global LLM market (projected USD 22.07B by 2030 at 48.8% CAGR, Grand View Research) and the LLMOps tools market (projected USD 14.2B by 2035, Marketgenics). Anyone publishing a single 'AI search market size' number should disclose their methodology." } }, { "@type": "Question", "name": "What is the projected growth rate of the LLM market?", "acceptedAnswer": { "@type": "Answer", "text": "Grand View Research projects a 48.8% compound annual growth rate for the global LLM market between 2023 and 2030 — from USD 1.44 billion to USD 22.07 billion. This is one of the highest CAGRs reported across enterprise software categories." } }, { "@type": "Question", "name": "When did Google AI Overviews launch?", "acceptedAnswer": { "@type": "Answer", "text": "Google AI Overviews (formerly Search Generative Experience, SGE) launched broadly in May 2024 at Google I/O. It triggers on a subset of Google queries, not all of them, and the trigger conditions have evolved since launch." } }, { "@type": "Question", "name": "When did ChatGPT Search launch?", "acceptedAnswer": { "@type": "Answer", "text": "ChatGPT Search launched on October 31, 2024. It rolled out first to ChatGPT Pro users and reached free-tier users by December 2024. ChatGPT itself (the chatbot) launched in November 2022, two years before the search feature." } }, { "@type": "Question", "name": "What is the verified zero-click search statistic?", "acceptedAnswer": { "@type": "Answer", "text": "SparkToro's 2024 zero-click study, conducted with Datos panel data, measured roughly 58.5% of Google searches in the US and 59.7% in the EU ending without a click to any external website. We refer to this rounded as 'around 60%' and treat it as the baseline trend through 2026." } }, { "@type": "Question", "name": "What does the Aggarwal et al. 2024 GEO paper actually show?", "acceptedAnswer": { "@type": "Answer", "text": "Aggarwal and co-authors (arXiv:2311.09735, 2024) tested several content techniques — citing sources, adding relevant statistics, quoting authoritative voices — and measured up to 40% lift in visibility across generative engines. It is the academic anchor for generative engine optimization (GEO), the discipline now also called LLMO." } }, { "@type": "Question", "name": "What is llms.txt and why does it matter for AI search?", "acceptedAnswer": { "@type": "Answer", "text": "llms.txt is an open proposal published in September 2024 for websites to expose a Markdown summary file that LLMs can use to find and understand site content efficiently. It is an early signal of an 'AI-search-aware' web — sites making their content explicitly LLM-readable. Adoption is still growing." } }, { "@type": "Question", "name": "Should I trust 'AI search market share' percentages I see online?", "acceptedAnswer": { "@type": "Answer", "text": "Be skeptical. There is no methodology-transparent panel that publishes platform-level AI search share. Different sources use different definitions of a 'search,' different unit counts, and different time windows. 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Large Language Model Optimization Explained" }, { "@type": "ListItem", "position": 3, "url": "https://alicelabs.ai/en/insights/ai-search-optimization-guide", "name": "AI Search Optimization: Complete Guide for 2026" } ] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Table of Contents", "numberOfItems": 6, "itemListOrder": "https://schema.org/ItemListOrderAscending", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Why the 'AI Search Market' Is Hard to Measure in 2026", "url": "https://alicelabs.ai/en/insights/ai-search-market-2026-statistics#why-ai-search-market-is-hard-to-measure" }, { "@type": "ListItem", "position": 2, "name": "Market Size: The LLM Layer (USD 22.07B by 2030)", "url": "https://alicelabs.ai/en/insights/ai-search-market-2026-statistics#llm-market-size-grand-view-research" }, { "@type": "ListItem", "position": 3, "name": "Market Size: LLMOps Tooling (USD 14.2B by 2035)", "url": "https://alicelabs.ai/en/insights/ai-search-market-2026-statistics#llmops-market-marketgenics" }, { "@type": "ListItem", "position": 4, "name": "AI Search Platform Launch Timeline", "url": "https://alicelabs.ai/en/insights/ai-search-market-2026-statistics#platform-launch-timeline" }, { "@type": "ListItem", "position": 5, "name": "User Behavior: Zero-Click Searches and AI Answers", "url": "https://alicelabs.ai/en/insights/ai-search-market-2026-statistics#user-behavior-zero-click" }, { "@type": "ListItem", "position": 6, "name": "Strategic Implications: The LLMO Investment Thesis", "url": "https://alicelabs.ai/en/insights/ai-search-market-2026-statistics#strategic-implications-llmo-investment-thesis" } ] } ] }, { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://alicelabs.ai/en" }, { "@type": "ListItem", "position": 2, "name": "Insights", "item": "https://alicelabs.ai/en/insights" }, { "@type": "ListItem", "position": 3, "name": "AI Search & LLMO", "item": "https://alicelabs.ai/en/insights/ai-search" }, { "@type": "ListItem", "position": 4, "name": "AI Search Market Statistics 2026: A Verified Data Snapshot" } ] } ] ```