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    Voice Search

    Voice search is searching through a spoken query. Speech recognition processes the input; the application may respond with search results, spoken information or follow-up questions.

    Voice Search explained

    Voice input describes an interaction method, not a single ranking system. A phone, search application and connected speaker may process the same question differently. A spoken query can also produce a visual result.

    Content should fit the situation. Local questions need accurate addresses and opening hours; product questions need clear properties and limitations. An understandable answer should not depend on reading a long navigation menu or explaining a complex table aloud.

    No universal markup makes a website the preferred voice of every assistant. Google’s speakable documentation, for example, describes a limited use case for English-language news and certain US devices. That cannot be generalised into a recommendation for German corporate websites.

    A useful test records the question, device, application, language and time. Check whether information is reproduced correctly and sources are identifiable. Individual test answers establish neither overall reach nor sales effects. Their immediate value is identifying specific information gaps.

    Examples

    Hypothetical application

    A shop tests a spoken question about Sunday opening in several applications. One answer gives outdated hours. The team corrects the underlying business information and checks again later; immediate adoption by every assistant is not assured.

    Key Points

    • Distinguish voice input from the answer format.
    • Record application, language and device in tests.
    • Maintain consistent business and product information.

    Practical application

    Test important customer questions in relevant applications and document information errors.

    Useful measures

    Answer accuracy in a question panel

    Proportion of factually correct answers in a documented sample.

    Common mistakes

    • Selling markup as universal access to voice assistants.
    • Inferring market shares from a few test answers.

    Sources and context

    Frequently Asked Questions about Voice Search

    No. Sources and answer mechanisms depend on the application.

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