{"id":50622,"date":"2018-01-15T18:11:20","date_gmt":"2018-01-15T18:11:20","guid":{"rendered":"https:\/\/webolutionsmarketingagency.com\/seo-for-voice-search-good-bye-to-text-search-queries\/"},"modified":"2024-02-23T17:05:28","modified_gmt":"2024-02-23T17:05:28","slug":"seo-for-voice-search-good-bye-to-text-search-queries","status":"publish","type":"post","link":"https:\/\/webolutionsmarketingagency.com\/seo-for-voice-search-good-bye-to-text-search-queries\/","title":{"rendered":"SEO for Voice Search \u2013 Goodbye to Text Search Queries"},"content":{"rendered":"

Voice search is projected to be greater than 50% of all searches by 2020.\u00a0Voice search will significantly impact search engine optimization.\u00a0 Because we can speak faster than we can type, voice searches will be longer and more natural.\u00a0 So, for example, while we might optimize around \u201cDenver SEO<\/a>\u201d for text entered searches, voice search would be more like \u201chow can I get more website traffic?\u201d.<\/p>\n

Learn more about the Different Types of SEO Services<\/a> (article).<\/h3>\n

Voice Search Trends<\/h2>\n

As voice recognition technology has improved and gained use throughout a myriad of devices, more and more people are benefiting from the ease of using voice search, rather than typing their query. Among the primary reasons we are seeing such a significant increase in voice search is the prevalence of cell phones and the move from desktop searches to mobile device search queries.\u00a0 Coupled with the overall move from desktop to mobile search is the greater use of voice recognition technology with smart phones.\u00a0 For these reasons, the trend for greater use of voice search is understandable.<\/p>\n

In 2016, Google voice queries were up 35-fold since 2008. In 2017, approximately 40% of adults used voice search at least once per day.\u00a0 Provided that more than 50% of searches in just 2 years will be via voice, it becomes clear that the search engine optimization (SEO) game is changing significantly.<\/p>\n

While SEO is always changing primarily in response to changes in Google\u2019s algorithm, the changes related to voice search are significantly different.\u00a0 With SEO trend changes related to Google\u2019s algorithm, SEO experts adapted the techniques used to improve rankings.\u00a0 While things like on-page SEO and off-page SEO tactics have changed over the years, voice search is an entirely new ball-game.\u00a0 The move toward spoken search queries changes the very nature of how people are searching and, therefore, how SEO professionals<\/a> will need to approach search optimization.<\/p>\n

Benefits of Voice Search<\/h2>\n

Research from MindMeld\u2019s 2016 Intelligent Voice Assistants Research Report breaks down the primary reasons consumers use voice:<\/p>\n

61% \u2013 Useful when hands \/ vision occupied<\/p>\n

30% \u2013 Faster results<\/p>\n

24% \u2013 Difficulty typing on certain devices<\/p>\n

22% \u2013 They\u2019re fun \/ cool<\/p>\n

12% \u2013 To avoid confusing menus<\/p>\n

1% \u2013 Other<\/p>\n

The survey also reveals the most frequent settings for use of voice-assisted search \u2013 home (43%), car (36%), on the go (19%). Work comprises the remaining usage.<\/p>\n

Search Engine Optimization for Voice Search Queries<\/h2>\n

Recognizing the change to spoken search, Google has recently issued guidelines specifically for voice searches.\u00a0 The official name for these updated guidelines from Google is \u201cEvaluation of Search Speech \u2013 Guidelines\u201d.\u00a0 If you are interested in reading these guidelines, please visit Google Voice Search<\/a>.\u00a0 While this is not a part of Google\u2019s Webmaster Guidelines at this time, voice search will inevitably be addressed.\u00a0 Suffice to say, there is an entirely new rating methodology for voice search.<\/p>\n

Because different devices use different databases for answers, there is no one method for voice optimization.\u00a0 For example, Google Home devices retrieve answers from Google data.\u00a0 Voice queries to Siri, pulls their answers from BING data.\u00a0 Amazon\u2019s Alexa devices pull data from both BING as well as Amazon data.<\/p>\n

Since Google dominates the search engine market, we\u2019ll focus our discussion on how to best optimize voice search for Google and Google Home products.\u00a0 The primary difference between text search and voice search is the query entered.\u00a0 Because speaking is easier and faster than typing, the nature of search queries will be significantly different.\u00a0 Text entered search queries are typically much shorter than spoken queries.\u00a0 Also, voice search queries tend to be more of a complete question such as \u201chow do I get more traffic to my website?\u201d, whereas, our text entered query is more vague like \u201cSEO services.\u201d<\/p>\n

Based on the change in the nature of search, SEO experts need to adjust their optimization strategy to account for longer queries.\u00a0 Voice search definitely lends itself more to question and answers, therefore, website content should also lend itself more to this type of question and answer approach.\u00a0 Over the past few years, longer content has been ranking better than shorter content, which has caused those who are optimizing for rankings to ramble on rather than being concise.\u00a0 Voice search lends itself to answering a specific question.\u00a0 I believe short and to the point will be more beneficial for voice search.<\/p>\n

Rather than creating 2,000-word articles, an argument can be made that FAQ pages with questions and answers will perform better with voice search.\u00a0 Why?\u00a0 Well, Google will more readily understand the semantic meaning of a short answer than a long answer.\u00a0 Also, content that has been written and optimized for traditional search, does not always include the question that is being answered.\u00a0 Since voice search is moving toward more complete questions, it stands to reason that optimization for voice search should include the question that is being answered.<\/p>\n

Voice Search Optimization \u2013 Keyword Research Becomes Questions & Answers Research<\/h2>\n

Traditional search engine optimization typically begins with keyword research.\u00a0Traditional keyword research<\/a> lends itself to shorter phrases, not necessarily long-tail questions.\u00a0 The first step in voice search optimization is to understand the most common questions being asked, then including these questions within the content and answering these questions as succinctly as possible.<\/p>\n

At this time, unfortunately, there is not a tool available for question research.\u00a0 We cannot research a most frequently asked questions by topic very well, therefore, one must start with a few seed questions that can be entered into Google.\u00a0 Frequently, Google will provide an area within its SERPs (search engine results pages) known as \u201cPeople also ask\u201d (PAA), which lists additional questions related to the seed question entered into Google.\u00a0 The PAA area will allow us to expand our Questions research.<\/p>\n

Example of a PAA box:<\/p>\n

For fun, I searched Google for \u201cmost asked questions on google\u201d and found a list of the top 1000 most asked questions on Google from Mondovo.com<\/a>.\u00a0 This list, unfortunately, does not lend itself to categorical searches for top questions by subject or topic.<\/p>\n

Voice Search Optimization \u2013 Identify Featured Snippets<\/h2>\n

Another approach for research of common questions is identifying featured snippets<\/a>, which typically appear to answer common questions.\u00a0 You have likely seen these before (they appear in approximately 10% of search queries), but may not have known what they are called.\u00a0 The featured snippet provides an answer summary extracted from a web page.\u00a0 Per Google \u201cWhen we recognize that a query asks a question, we programmatically detect pages that answer the user’s question, and display a top result as a featured snippet in the search results<\/em><\/strong>\u201d.
\nHere are a few examples of featured snippets:<\/p>\n

As you may have noticed, featured snippets appear in response to a question.\u00a0 When one verbally asks a question to one of Google\u2019s Home Products, the answer is typically pulled from the featured snippet.\u00a0 So, for SEO experts, optimizing to be found in Google featured snippets area is very beneficial for spoken search queries.<\/p>\n

Resources for How to Optimize for Featured Snippets<\/h2>\n

Rather than providing the steps for ranking well within Google\u2019s featured snippets, here are some very good resources:<\/p>\n

    \n
  1. How to Optimize for Google’s Featured Snippets \u2013 Moz.com<\/a><\/li>\n
  2. How to Optimize for Featured Snippets \u2013 SearchEngineWatch.com<\/a><\/li>\n
  3. Featured Snippets Optimization Tips \u2013 SearchEngineLand.com<\/a><\/li>\n<\/ol>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

    Voice search is projected to be greater than 50% of all searches by 2020.\u00a0Voice search will significantly impact search engine optimization.\u00a0 Because we can speak faster than we can type, voice searches will be longer and more natural.\u00a0 So, for example, while we might optimize around \u201cDenver SEO\u201d for text entered searches, voice search would\u2026<\/p>\n","protected":false},"author":13,"featured_media":50623,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1352],"tags":[],"class_list":["post-50622","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-seo"],"acf":[],"yoast_head":"\nSEO for Voice Search \u2013 Goodbye to Text Search Queries<\/title>\n<meta name=\"description\" content=\"This article explores how to optimize for voice search on mobile devices. 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