Voice Search

What is Voice Search?

Voice Search refers to searching the internet using spoken language instead of keyboard input. Instead of typing a search term, the user asks their question aloud, and a voice assistant provides the answer. Well-known examples include Google Assistant, Apple Siri, Amazon Alexa, and Microsoft Copilot. Voice Search is used on smartphones, smart speakers, in cars, on smart TVs, and on wearables, making it an integral part of everyday digital life.

The adoption is enormous: Worldwide, around 8.4 billion voice assistants are now active, more than there are people on Earth. For website operators, this means that optimising for voice search has become a relevant part of SEO.

How does Voice Search work technically?

Behind voice search lies a chain of several AI technologies. Simplified, the process works as follows: The spoken query is converted into text via speech recognition, then understood in terms of content using Natural Language Processing (NLP), and finally, the appropriate answer is determined and read aloud. Voice search thus combines several components that you can already find in your glossary: speech recognition, NLP, and increasingly large language models (LLMs).

How Voice Search differs from traditional search

Voice searches behave differently from typed search queries, which has direct implications for optimisation:

• Longer and more natural: Spoken queries are usually longer and formulated in natural language. Instead of "Weather Berlin," one might say, "What will the weather be like tomorrow in Berlin?"
• Often phrased as a question: Voice queries are frequently complete questions with "how," "what," "where," or "why."
• Often local: A large portion of voice searches has a local focus, such as "near me." Local SEO is therefore particularly important.
• Only one answer: The decisive difference. While traditional search displays a list of results, a voice assistant usually reads out only a single result. There is no "second place" to fall back on.

Voice Search and Featured Snippets

The last point leads to perhaps the most important insight for optimisation: Voice assistants often source their spoken answers from Featured Snippets, i.e., the highlighted answer boxes in Google search results. Around half of all voice search results come from a Featured Snippet. Therefore, whoever wins the answer box for a relevant question has a good chance of being played as the answer in the corresponding voice search.

How to optimise for Voice Search?

• Answer questions directly: Content should directly answer specific questions clearly and in one or two sentences, ideally right at the beginning. An FAQ section is particularly suitable for this.
• Natural, conversational language: Adapt to the way people actually speak, rather than optimising only for short keywords.
• Long-tail and question keywords: Specifically target longer, question-like search phrases.
• Aim for Featured Snippets: Clearly structured content with lists, tables, and concise answers increases the chance of winning the answer box.
• Maintain Local SEO: A well-maintained Google Business Profile and local information are crucial for the many location-based voice searches.
• Fast, mobile-friendly page: Since voice search predominantly takes place on mobile devices, loading speed and responsive design are important.
• Structured data: Schema markup using JSON-LD helps search engines categorise content and select it as an answer.

Voice Search, AI, and GEO: A growing convergence

A key current development: Voice Search and AI-powered search are increasingly merging. Assistants like Siri, Google Assistant, Alexa, and Copilot now route voice queries through the same large language models that also drive text-based AI search. The result: Optimisation for AI search (GEO) and for voice search are becoming very similar. Those who design content to clearly, fully, and reliably answer a specific question are simultaneously optimising for both voice search and AI response systems. Additionally, spoken answers are perceived as particularly authoritative, which is why up-to-dateness plays an even greater role here.

Conclusion

Voice Search is searching via spoken language and, with billions of voice assistants, has long been part of everyday life. It differs from traditional search through longer, naturally formulated questions, a strong local focus, and above all, the fact that usually only one single answer is read out. The key to optimisation lies in directly and clearly answering questions, aiming for Featured Snippets, and maintaining Local SEO. Since Voice Search and AI search are increasingly converging, focusing on concrete, well-answered questions is an investment that pays off for both areas simultaneously.