Isbn: 9798341672550 - answer engine optimization: a field guide for navigating ai-driven search and discovery (19 resultados)

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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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Paperback. Condición: new. Paperback. Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include-and not include-in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems.You'll also learn how to:Understand how answer engines evaluate and select informationStructure content to improve comprehension by large language modelsUse semantic HTML and structured data to improve content recognitionBuild topical authority that supports credibility and citation across platformsMeasure performance across AI systems using emerging tools and metrics This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include in the final answer. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA
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Paperback. Condición: New. Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include-and not include-in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems.You'll also learn how to:Understand how answer engines evaluate and select informationStructure content to improve comprehension by large language modelsUse semantic HTML and structured data to improve content recognitionBuild topical authority that supports credibility and citation across platformsMeasure performance across AI systems using emerging tools and metrics.…

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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Paperback. Condición: New. Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include-and not include-in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems.You'll also learn how to:Understand how answer engines evaluate and select informationStructure content to improve comprehension by large language modelsUse semantic HTML and structured data to improve content recognitionBuild topical authority that supports credibility and citation across platformsMeasure performance across AI systems using emerging tools and metrics.…

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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. Neuware -Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include--and not include--in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems. - Understand how answer engines evaluate and select information - Structure content to improve comprehension by large language models - Use semantic HTML and structured data to improve content recognition - Build topical authority that supports credibility and citation across platforms - Measure performance across AI systems using emerging tools and metrics 225 pp. Englisch.…

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Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, AlemaniaRheinberg-Buch Andreas Meier eK
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Taschenbuch. Condición: Neu. Neuware -Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include--and not include--in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems. - Understand how answer engines evaluate and select information - Structure content to improve comprehension by large language models - Use semantic HTML and structured data to improve content recognition - Build topical authority that supports credibility and citation across platforms - Measure performance across AI systems using emerging tools and metrics 225 pp. Englisch.…

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Librería: Wegmann1855, Zwiesel, AlemaniaWegmann1855
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Taschenbuch. Condición: Neu. Neuware -Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include--and not include--in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems. - Understand how answer engines evaluate and select information - Structure content to improve comprehension by large language models - Use semantic HTML and structured data to improve content recognition - Build topical authority that supports credibility and citation across platforms - Measure performance across AI systems using emerging tools and metrics.…

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Paperback. Condición: new. Paperback. Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include-and not include-in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems.You'll also learn how to:Understand how answer engines evaluate and select informationStructure content to improve comprehension by large language modelsUse semantic HTML and structured data to improve content recognitionBuild topical authority that supports credibility and citation across platformsMeasure performance across AI systems using emerging tools and metrics This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include in the final answer. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Paperback. Condición: New. Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include-and not include-in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems.You'll also learn how to:Understand how answer engines evaluate and select informationStructure content to improve comprehension by large language modelsUse semantic HTML and structured data to improve content recognitionBuild topical authority that supports credibility and citation across platformsMeasure performance across AI systems using emerging tools and metrics.…

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. Neuware - Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include--and not include--in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems. - Understand how answer engines evaluate and select information - Structure content to improve comprehension by large language models - Use semantic HTML and structured data to improve content recognition - Build topical authority that supports credibility and citation across platforms - Measure performance across AI systems using emerging tools and metrics.…

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Paperback. Condición: new. Paperback. Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include-and not include-in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems.You'll also learn how to:Understand how answer engines evaluate and select informationStructure content to improve comprehension by large language modelsUse semantic HTML and structured data to improve content recognitionBuild topical authority that supports credibility and citation across platformsMeasure performance across AI systems using emerging tools and metrics This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include in the final answer. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. Neuware -Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include--and not include--in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems. - Understand how answer engines evaluate and select information - Structure content to improve comprehension by large language models - Use semantic HTML and structured data to improve content recognition - Build topical authority that supports credibility and citation across platforms - Measure performance across AI systems using emerging tools and metricsLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 225 pp. Englisch.…

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Paperback. Condición: New. Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include-and not include-in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems.You'll also learn how to:Understand how answer engines evaluate and select informationStructure content to improve comprehension by large language modelsUse semantic HTML and structured data to improve content recognitionBuild topical authority that supports credibility and citation across platformsMeasure performance across AI systems using emerging tools and metrics.…

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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Answer Engine Optimization | A Field Guide for Navigating AI-Driven Search and Discovery | Rodrigo Stockebrand | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | O'Reilly Media | EAN 9798341672550 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

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Librería: Books-by-Floh, Paderborn, AlemaniaBooks-by-Floh
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Taschenbuch. Condición: Neu. Neuware -Answer engines like ChatGPT are changing how people search for information. Instead of returning lists of web pages, these systems provide direct answers, sourced from content they can confidently access and interpret. As a result, clicks from traditional SEO efforts continue to decline, making it clear a new approach is needed.This book introduces the emerging discipline of answer engine optimization, a practical framework for making content more discoverable and citable by generative AI systems. Drawing on decades of experience, author Rodrigo Stockebrand explains how large language models retrieve, evaluate, and decide which sources to include--and not include--in the final answer. You'll explore how to design, structure, and maintain content so answer engines can reliably interpret and reference it, and how to position your organization as a trusted source for AI systems. - Understand how answer engines evaluate and select information - Structure content to improve comprehension by large language models - Use semantic HTML and structured data to improve content recognition - Build topical authority that supports credibility and citation across platforms - Measure performance across AI systems using emerging tools and metrics 225 pp. Englisch.…