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

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  • Lingua: Inglese

    Editore: O'Reilly Media, 2026

    9798341672550

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  • Lingua: Inglese

    Editore: O'Reilly Media, Sebastopol, 2026

    9798341672550

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    Paperback. Condizione: 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.…

  • Lingua: Inglese

    Editore: O'Reilly Media, US, 2026

    9798341672550

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    Paperback. Condizione: 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.…

  • Lingua: Inglese

    Editore: O'Reilly Media, 2026

    9798341672550

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  • Lingua: Inglese

    Editore: O'Reilly Media, US, 2026

    9798341672550

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    Paperback. Condizione: 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.…

  • Lingua: Inglese

    Editore: O'Reilly Media, 2026

    9798341672550

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  • Lingua: Inglese

    Editore: O'reilly Media Nov 2026, 2026

    9798341672550

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: 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.…

  • Lingua: Inglese

    Editore: O'reilly Media Nov 2026, 2026

    9798341672550

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    Taschenbuch. Condizione: 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.…

  • Lingua: Inglese

    Editore: O'reilly Media Nov 2026, 2026

    9798341672550

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    Taschenbuch. Condizione: 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.…

  • Lingua: Inglese

    Editore: O'Reilly Media, Sebastopol, 2026

    9798341672550

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    Paperback. Condizione: 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.…

  • Lingua: Inglese

    Editore: O'Reilly Media, 2026

    9798341672550

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  • Lingua: Inglese

    Editore: O'Reilly Media, US, 2026

    9798341672550

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    Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United

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    Paperback. Condizione: 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.…

  • Lingua: Inglese

    Editore: O'reilly Media Nov 2026, 2026

    9798341672550

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    Taschenbuch. Condizione: 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.…

  • Lingua: Inglese

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    9798341672550

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    Paperback. Condizione: 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.…

  • Lingua: Inglese

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    9798341672550

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  • Lingua: Inglese

    Editore: O'reilly Media Nov 2026, 2026

    9798341672550

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    Taschenbuch. Condizione: 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.…

  • Lingua: Inglese

    Editore: O'Reilly Media, US, 2026

    9798341672550

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    Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK

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    Paperback. Condizione: 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.…

  • Lingua: Inglese

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    9798341672550

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    Da: preigu, Osnabrück, Germaniapreigu

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    Taschenbuch. Condizione: 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.…

  • Lingua: Inglese

    Editore: O'reilly Media Nov 2026, 2026

    9798341672550

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    Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh

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    Taschenbuch. Condizione: 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.…