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

ISBN: 
Refinar con la Búsqueda avanzada

Filtrar la búsqueda

  • Libros (19)

  • Nuevo (19)

a

Intervalo de precios personalizado (EUR)

a

  • Idioma: Inglés

    Editorial: O'Reilly Media, 2026

    9798341672550

    • Tapa blanda

    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 39,12

    Envío por EUR 4,91 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 15 disponibles

    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: O'Reilly Media, Sebastopol, 2026

    9798341672550

    • Tapa blanda

    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 45,32

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: 1 disponible

    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.…

  • Idioma: Inglés

    Editorial: O'Reilly Media, US, 2026

    9798341672550

    • Tapa blanda

    Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 47,89

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    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.…

  • Idioma: Inglés

    Editorial: O'Reilly Media, 2026

    9798341672550

    • Tapa blanda

    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 49,65

     Gastos de envío gratis 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: O'Reilly Media, US, 2026

    9798341672550

    • Tapa blanda

    Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 52,21

     Gastos de envío gratis 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    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.…

  • Idioma: Inglés

    Editorial: O'Reilly Media, 2026

    9798341672550

    • Tapa blanda

    Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 55,33

    Envío por EUR 6,80 
    Se envía de Italia a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: new.

  • Idioma: Inglés

    Editorial: O'reilly Media Nov 2026, 2026

    9798341672550

    • Tapa blanda

    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 60,00

    Envío por EUR 23,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    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.…

  • Idioma: Inglés

    Editorial: O'reilly Media Nov 2026, 2026

    9798341672550

    • Tapa blanda

    Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, AlemaniaRheinberg-Buch Andreas Meier eK

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 60,00

    Envío por EUR 23,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    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.…

  • Idioma: Inglés

    Editorial: O'reilly Media Nov 2026, 2026

    9798341672550

    • Tapa blanda

    Librería: Wegmann1855, Zwiesel, AlemaniaWegmann1855

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 60,00

    Envío por EUR 25,95 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    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.…

  • Idioma: Inglés

    Editorial: O'Reilly Media, Sebastopol, 2026

    9798341672550

    • Tapa blanda

    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 45,61

    Envío por EUR 43,71 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    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.…

  • Idioma: Inglés

    Editorial: O'Reilly Media, 2026

    9798341672550

    • Tapa blanda

    Librería: Speedyhen, Hertfordshire, Reino UnidoSpeedyhen

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 40,94

    Envío por EUR 48,44 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: NEW.

  • Idioma: Inglés

    Editorial: O'Reilly Media, US, 2026

    9798341672550

    • Tapa blanda

    Librería: Rarewaves USA United, HEBRON, KY, Estados Unidos de AmericaRarewaves USA United

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 50,31

    Envío por EUR 44,63 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    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.…

  • Idioma: Inglés

    Editorial: O'reilly Media Nov 2026, 2026

    9798341672550

    • Tapa blanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 60,71

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    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.…

  • Idioma: Inglés

    Editorial: O'Reilly Media, Sebastopol, 2026

    9798341672550

    • Tapa blanda

    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 75,80

    Envío por EUR 33,03 
    Se envía de Australia a Estados Unidos de America

    Cantidad disponible: 1 disponible

    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.…

  • Idioma: Inglés

    Editorial: O'Reilly Media, 2026

    9798341672550

    • Tapa blanda

    Librería: moluna, Greven, Alemaniamoluna

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 58,85

    Envío por EUR 48,99 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: O'reilly Media Nov 2026, 2026

    9798341672550

    • Tapa blanda

    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 60,00

    Envío por EUR 60,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    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.…

  • Idioma: Inglés

    Editorial: O'Reilly Media, US, 2026

    9798341672550

    • Tapa blanda

    Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 49,48

    Envío por EUR 76,79 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    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.…

  • Idioma: Inglés

    Editorial: O'Reilly Media, 2026

    9798341672550

    • Tapa blanda

    Librería: preigu, Osnabrück, Alemaniapreigu

    Vendedor de 5 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 61,15

    Envío por EUR 70,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 1 disponible

    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.…

  • Idioma: Inglés

    Editorial: O'reilly Media Nov 2026, 2026

    9798341672550

    • Tapa blanda

    Librería: Books-by-Floh, Paderborn, AlemaniaBooks-by-Floh

    Vendedor de 4 estrellas
    Contactar con el vendedor

    Condición: Nuevo

    EUR 82,85

    Envío por EUR 105,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    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.…