A Guide to Voice Search Optimization in 2023

While finding information on the web, searchers these days prefer using smartphones and tablets to desktops and laptops. Younger searchers prefer finding online information using voice search, while older searchers still use text search while searching the internet. However, a surge is being noticed in searchers belonging to various age groups who prefer giving voice commands to typing search queries.

Why Optimize Website Content for Voice Search in 2023?

Smartphones with voice search features and voice-controlled virtual assistants make it easier for users to find information simply by giving a voice command. The voice search statistics compiled by StartupBonsai suggest that 56% of users have already used voice search for finding information about a business.

Likewise, 52% of voice search users expect brands to deliver information related to promotions, deals, and sales. That is why; your SEO strategy can get better results in 2023 only by focusing on text search and voice search simultaneously. In addition to implementing on-page and off-page SEO techniques, you should focus extensively on voice search optimization in 2023.

How to Optimize Website Content for Voice Search in 2023?

While optimizing website content for voice search, you should keep in mind the major differences between voice search and text search. For instance, voice search devices respond to a searcher’s voice command by providing a single answer. Hence, they focus on finding the best answer to the question asked by the searcher instead of listing search results.

Furthermore, voice search results, unlike text search results, are highly location-dependent. Hence, you should not optimize website content for voice search using widely-used search engine optimization (SEO) strategies.

Instead, you should complement your regular SEO strategy in 2023 with comprehensive voice search optimization strategies. Here is a slew of voice search optimization best practices that will help you create and update website content for voice search in 2023.

9 Voice Search Optimization Best Practices to Adopt 2023

1. Boost Your Website’s Mobile Experience

You should remember that most voice search users use smartphones or tablets. Hence, your voice search optimization strategy needs to ensure that your website delivers a superior mobile experience across mobile devices and operating systems. It is always advisable to make the website accessible on computers and mobile devices by adopting a responsive web design or using Google’s Amplified Mobile Pages (AMP) guidelines. At the same time, you should conduct speed tests regularly to ensure that the website loads in less than 2 seconds.

2. Understand Customer Behavior

Consumers initiate voice searches using a variety of devices. Some consumers use search engines, while others use AI-driven voice assistants. Hence, you can create and optimize website content for voice search only by understanding customers and their behavior. You can understand customer behavior by gathering real-time information using search engines and social media. Likewise, you can track industry trends and conduct market research to understand how consumers use voice search. The information will help you optimize website content for voice search queries by creating customer personas.

3. Use Long-Tail and Conversational Keywords

As noted earlier, voice search is different from text search. You cannot optimize website content for voice search using regular search keywords. Instead, you should identify relevant voice search queries using a keyword research tool. It is always advisable to identify relevant long-tail keywords and include multiple long-tail keywords in the content. However, you need to ensure that there is no keyword stuffing. Likewise, you can get better results by targeting long-tail keywords with high search volume and low competition. 

4. Create User-Centric Content

While creating content for SEO campaigns, writers keep in mind both search engines and searchers. But uses ask questions in a personalized way while using voice search. Search engines and voice assistants cater to this need of searchers by delivering content according to their needs and preferences.

Hence, writers can optimize content for voice search only by using conversational language like I, we, you, and me. In addition to keeping the tone friendly, they should focus on answering questions frequently asked by consumers clearly and concisely. Also, they should answer the searcher personally or individually to make the content appear on voice search results.

5. Add Schema Markup

Search engines use structured data or schema markup as the language for understanding the content posted on a web page. The searchers cannot view the schema markup as the section is embedded into the web page’s source code. While creating content for voice search, you can make it easier for search engines to understand the nature of website content by including schema markup. The search engine will refer to the schema markup to find a direct answer to the question asked by the user. You have the option to create and embed a variety of schema markups according to the nature and type of web pages.

6. Optimize Content for Local Search

As mentioned earlier, voice search is highly local-centric. Hence, local search optimization is an integral part of voice search optimization. While optimizing content for local search, you have to focus on both location and language. You should localize content by including the physical address of a store/office as well as location-specific keywords. At the same time, you need to get the website content translated into multiple languages as a large percentage of voice search users do not speak English.

7. Refine Your Business’s Google Business Profile

People use voice search to gather a variety of information about businesses. You can make it easier for voice search users to find your business by getting listed on Google Business. The Google Business profile will answer some of the commonly asked questions related to your business – physical address, operating hours, contact numbers, email address, products/services, and website. The information provided by you will help Google answer questions asked by voice search users quickly and accurately.

8. Win Google Rich Answer Box

Google uses the Rich Answer feature to provide direct answers to the questions asked by searchers. The rich answer appears in a box at the top of Google search results pages. As voice assistants provide a single answer to every question asked by voice search users, they often choose the content appearing in the rich answer box. You can increase the chances of the website content appearing in Google Rich Answer Box by answering questions concisely, creating number list posts, and including tables and graphs.

9. Implement Multilingual SEO

Popular voice assistants allow users to choose from multiple languages as well as change languages. Your voice search optimization strategy must focus on optimizing website content for multiple languages. Hence, you should implement multilingual SEO tactics like using hreflang tags, including popular keywords in the non-English language, and translating metadata and URL. At the same time, it is also important to get the translated content reviewed and edited by a professional proficient in the local language.


In 2023, you can drive lead generation and sales conversion only by optimizing your website content for text search and voice search. You cannot optimize website content for voice search using on-page and off-page SEO strategies. Instead, you should focus on voice search optimization by following distinct strategies and adopting best practices.

This blog has been reposted in May 2023 with permission from this blog.

In 2011, Google introduced voice search as a new feature in web search. The feature enables users to find information using voice commands instead of typing search queries. Major search engines have been updating the voice search feature regularly. Likewise, the number of searchers switching from text search to voice search has been increasing consistently.

According to ThinkwithGoogle.com,

27% of the global online population is using voice search on mobile.

Likewise, the research conducted by Adobe Analytics suggests,

The most common voice activities are asking for music (70%) and the weather forecast (64%) via smart speakers. Other popular activities include asking fun questions (53%), online search (47%), checking the news (46%), basic research/confirming info (35%), and asking directions (34%).

What is Voice Search SEO?

As a speech recognition technology, voice search allows searchers to collect information by saying search queries to a mobile phone or speaker instead of typing search queries into a search field. While making search engine queries, searchers find it easier to give voice commands instead of typing search queries.

According to WhatIs.com,

Voice search is a speech recognition technology that allows users to search by saying terms aloud rather than typing them into a search field. The proliferation of smartphones and other small, Web-enabled mobile devices has spurred interest in voice search.

What Makes Voice Search Different from Text Search?

An average person can type 30 to 40 words or 190 to 200 characters per minute. But an average person can speak about 100 to 130 words per minute. That is why; average words per minute (WPM) makes voice search different from text search. We cannot understand what voice search is without understanding the key differences between voice search and text search.

Search Query Length:

The searchers find it easier to give voice commands than typing search queries. While typing search queries, the searchers often use abbreviations and include about two words. But the searchers answer questions and speak full sentences while initiating voice search. Hence, voice search queries are longer than text search queries.

Natural Language:

Often, searchers do not type questions while doing a text search. But they ask questions while giving voice commands. Most voice search queries start with commonly used question words like what, when, where, who, and how. Hence, the voice search queries appear natural and complete, unlike the text search queries.


Unlike text search queries, mobile voice search queries are often location-based. While using mobile devices or smart speakers, the searchers often give a voice command to get localized information.

According to Meticulosity.com,

Most voice searches are location specific and mobile voice-related searches are 3X more likely to be local-based than text. Users often opt for voice search when looking for a product, shop or service near them and 50% of local mobile searches by a consumer leads to a store visit in a day.

What Do the Voice Search Results Look Like?

A featured snippet or answer box appears on top of the organic search results delivered by Google. The featured snippet appears in a box just below the paid ads displayed by Google. Google displays featured snippets with the intention to answer the question asked by the searchers directly and instantly.

The popular search engine created the features snippet dynamically using content collected from various online sources, including articles and blogs. Google displays information in the featured snippets in a variety of formats – paragraphs, data sets, and lists.

While processing voice search queries, Google delivers voice search results from the featured snippet. The featured snippet appears on the SERPs before the organic search results. Hence, digital marketers have to focus on making their content appear in position zero on SERPs.

How Does Voice Search Work?

Both Google and Bing these days use artificial intelligence (AI) and machine learning (ML) to interpret the voice search query and understand the searcher’s intent. But they still rely on text-to-speech technology to analyze the voice search query and identify the questions. Hence, search engines process voice search commands and deliver voice search results through a series of steps.

Voice Search SEO: How to Create and Optimize Content for Voice Search?

Smart speakers and AI-driven voice assistants these days deliver voice search results by collecting information from diverse sources – search engines, Wikipedia, and reputed websites. Digital marketers cannot boost the articles, blogs, and website content for voice search using conventional search engine optimization (SEO) techniques. They have to fine-tune SEO techniques to make the content discoverable by various devices and applications.

Include Question Words

As mentioned earlier, searchers ask questions while doing a voice search. While selecting keywords for the content, you must explore ways to include commonly used question words – what, when, who, why, where, and how – in the keywords and keyphrases. The question words will make your content match various voice search queries.

Use Longtail Keywords

While giving voice commands, the searchers neither shorten the search query nor use abbreviations. Hence, you must optimize the content for voice search by including longtail keywords and keyphrases. Also, you must make the longtail keywords and keyphrases conversational by including commonly used filler words like to, from, I, of the, on the, and the.

 Optimize the Content for Rich Answers

In addition to delivering information from the featured snippet, Google also delivers rich answers to the questions. You can optimize the content for rich answers by targeting Google’s knowledge panel, knowledge graph, knowledge snippet, and knowledge box. The optimization will increase the chances of your content appearing at position zero on voice search results.

Optimize the Content for Local Search

While doing voice searches, many searchers look for information about local or near-me businesses. They give voice commands to gather a variety of information about local businesses – directions and opening hours. You can easily optimize your website for voice search by enhancing its local presence. Google helps entrepreneurs to optimize their business for voice and local searches by listing on Google My Business. The listing will help searchers to collect your business’s address and phone numbers while doing a voice search.

Restructure the Existing Content

In addition to creating fresh content for voice search, you must restructure and optimize the existing website content for voice search. You can make the website voice search-friendly by including questions and precise answers. But several studies suggest that voice search results deliver results in about thirty words. You have to keep in mind the search result length while restructuring the content. Also, you must explore ways to add multiple frequently asked questions (FAQs) pages to various pages and blogs.

Use Conversational Language

While giving voice commands, most searchers use conversational language. Hence, you must use conversational language while creating articles, blogs, and website content. The conversational language will increase the chances of your content appearing on voice search results. However, it is also important to keep in mind the searcher’s intention while creating and updating the content. The search intent will help you to prepare a list of questions that a searcher will ask while looking for your products or services.

Boost Your Website’s Mobile Experience

In addition to optimizing the content for voice search, your SEO strategy must focus on improving the website’s user experience according to the latest search engine guidelines. For instance, Google advises you to boost the website’s loading speed, mobile experience, and security. You can easily make the content appear in featured snippets by making the website deliver a superior user experience on mobile devices.

While answering questions like what is voice search, we must remember that both Google and Bing have been updating voice search features regularly. The latest voice search options enable searchers to give voice commands directly using devices or speakers with no screen. Also, disruptive technologies like artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) enable searchers to initiate voice searches using a variety of devices and applications.

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