Voice search optimization focuses on delivering direct and concise answers to user queries. By optimizing content for voice search, you can deliver a better user experience by providing fast and relevant information, leading to increased user satisfaction and engagement.
Ultimately, this improved experience builds loyalty for your business. Loyal customers come back more often and spread the word. And in turn, your website can make more money without getting stuck on the marketing treadmill.
#3. Local relevance
Voice search often includes location-based queries. If you run a local business, you have a better chance of reaching more potential customers within your locality. Users often use search queries like, “Siri, where is the bakery closest to me?” or “Hey Alexa, what are the best restaurants in Orange County?”
Additionally, voice search results are often location-based, so use more keywords optimized for location.
Voice Search vs. Text Search
Voice search involves speaking into a device to ask a query or question rather than typing it into a keyboard or touchpad. A report from Content Stack shows that 43% of people say they prefer voice search because it's faster than going to a website or app.
Why people around the world use voice search.png
Source: Content Stack
Voice search differs from traditional text searches in the way users submit their queries and interact with search engines. It is more personal and conversational than text searches. This is due to the convenience and speed involved.
The hands-free nature allows users to easily voice dial and ask any questions they have in any way they choose.
The main similarity between voice and text searches is that both are search formats. The goal is still to get information about a certain product or service. Through searches, whether text or voice, users can ask questions and get enough clarity on a matter.
However, voice searches were invented to simplify search processes and help improve the user experience. This is possible with voice search software like Google Assistant, Amazon’s Alexa, Microsoft’s Cortana, and Apple’s Siri. Users can now simply speak into their devices to get answers to quick questions.
While voice and text search are both search formats and serve the same purpose: helping provide solutions to users, they still have their differences. Let’s break down some of these differences to help you better understand:
Query format
It refers to the structure and style of search that users enter into the search engine. The query format differs because text involves typing the search query, while voice search requires the user to just speak it.
Length and complexity
Text search queries are usually more concise and focus on the essential elements of the search. This is outlook email database done by using very detailed and specific keywords . For example, "best smartphones", "best skin care products", "weather forecast in Canada", "home decorating ideas", etc.
On the other hand, voice search users make their queries naturally, using conversational language and complete sentences. Voice searches are longer and more conversational because they are more humanized. In fact, voice searches are 3.75 times faster than text searches and therefore contain more words per minute.
This makes them more detailed compared to text searches. Users can ask questions or provide additional context to their queries. For example, a voice search could be “What are the best smartphones on the market right now?” or “What is the best skincare product for oily skin or dry skin?” or “What is the weather forecast for Canada tomorrow?” etc.
Natural language
Natural language refers to the way humans speak and communicate naturally. Voice search involves users asking their questions in a conversational and natural way. Through voice search, users can ask questions using full sentences and more descriptive language.
Text searches, on the other hand, typically involve users typing their queries into a search engine using keywords or concise phrases. Because of the limitations of typing, text searches typically use shorter, more direct language.
Using natural language in voice search allows users to interact with search engines in a more comfortable and human way. Instead of typing short, fragmented words, users can express their queries in a way that reflects everyday conversation.