{"id":2908,"date":"2022-01-17T10:09:04","date_gmt":"2022-01-17T10:09:04","guid":{"rendered":"https:\/\/mailinvest.blog\/index.php\/2022\/01\/17\/google-autocomplete-a-complete-seo-guide\/"},"modified":"2022-01-17T10:09:04","modified_gmt":"2022-01-17T10:09:04","slug":"google-autocomplete-a-complete-seo-guide","status":"publish","type":"post","link":"https:\/\/mailinvest.blog\/index.php\/2022\/01\/17\/google-autocomplete-a-complete-seo-guide\/","title":{"rendered":"Google Autocomplete: A Complete SEO Guide"},"content":{"rendered":"

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Google Autocomplete is a controversial but powerful search feature.<\/p>\n

When you type a word, or even a letter, into Google, it populates a list of search suggestions. That\u2019s what autocomplete is.<\/p>\n

SEO professionals, paid search marketers, content marketers, and social media managers can all benefit from using Google Autocomplete to help with different keyword-focused and intent-exploring projects.<\/p>\n

On the other hand, Google Autocomplete often makes the news<\/a> for funny, peculiar, or even offensive habits (often in a negative way<\/a>).<\/p>\n

People use autocomplete constantly, saving thousands of seconds per day, but it has also been blamed for political cover-ups and spoiling movies, TV shows, and video games.<\/p>\n

Google Autocomplete can also be a powerful marketing tool. SEO professionals and other digital marketers have used it for years to inform strategy, get keywords, and find the important questions customers are asking.<\/p>\n

They can use Autocomplete to better optimize clients\u2019 digital properties and the content and messaging that make them up.<\/p>\n

This guide will help you understand the real power this simple but super-helpful feature can do for help with your day-to-day tasks.<\/p>\n

What Is Google Autocomplete?<\/h2>\n

Google\u2019s own words, Google Autocomplete is \u201cdesigned to make it faster to complete searches that you\u2019re beginning to type.\u201d<\/p>\n

It\u2019s integrated across Google Search and other Alphabet properties that use Google, including in the \u201cOmnibox\u201d on Chrome.<\/p>\n

Google estimates that, cumulatively, it saves over 200 years<\/a> of typing every day<\/em>, and on average reduces typing overall by about 25 percent.<\/p>\n

The primary purpose of the Autocomplete dropdown is to cut back on time a user spends typing by offering predictions of what a user may be typing \u2014 including for websites using the built-in Google Custom Search Engine<\/a> feature.<\/p>\n

While Autocomplete has been a desktop search feature since late 2004, it has become even more useful as a time-saving feature on mobile devices.<\/p>\n

Typing on a mobile device is a bit tougher than doing so on the large keyboards we have grown up with and are accustomed to, so it\u2019s a welcomed tool for providing assistance and saving time for many.<\/p>\n

There are several other useful ways that the feature can be used to leverage content ideas, keyword suggestions, intent exploration, online reputation management, and other data-driven tasks.<\/p>\n

How Does Autocomplete Work?<\/h2>\n

Ex-Googler Kevin Gibbs created the project, originally called \u201cGoogle Suggest<\/a>\u201d by another former Googler Marissa Mayer.<\/p>\n

Google has since moved away from the \u201cSuggest\u201d name since it\u2019s not always offering the most thoughtful, caring, or appropriate predictions.<\/p>\n

Google calls the completions it offers \u201cpredictions\u201d, not \u201csuggestions.\u201d This is because of how Autocomplete works.<\/p>\n

Autocomplete is supposed to help people complete a sentence they were intending<\/a> \u2013\u00a0not to suggest a search intent, as with \u201cI\u2019m feeling lucky.\u201d They determine predictions by looking at common searches on Google, including looking at trending searches that might be relevant.<\/p>\n

This allows Autocomplete to quickly update and adapt to new search trends and news stories.<\/p>\n

Much of Autocomplete\u2019s behavior is computer-generated, with data collected from millions of other Google searches and their results, including the content on those pages. It also takes information from your search history, location, and other data points.<\/p>\n

Google has also put a lot of work in, so as to avoid inappropriate or offensive autocomplete suggestions. This means there are both automated and manual removal procedures that can influence what autocomplete suggestions are left.<\/p>\n

Autocomplete is also related to the Knowledge Graph<\/a>, and especially on mobile, it can bring Knowledge Graph suggestions into the prediction.<\/p>\n

It wasn\u2019t until 2008 that Google built Autocomplete into its default search engine (it was previously an opt-in feature).<\/p>\n

Best Ways to Use Google Autocomplete<\/h2>\n

1. Keyword Research<\/h3>\n

It\u2019s a long, tedious, and laborious task, but it\u2019s also the foundation of all SEO strategies\u2013 and has been for a long time.<\/p>\n

While we may no longer explicitly target keywords, keywords and their related ideas are always going to be an important part of search marketing.<\/p>\n

Keyword research<\/a> is one of the first tasks tackled at the start of an engagement \u2014 and carried on throughout the engagement \u2014 to understand not just a brand and the content it creates, but also its potential shortcomings, website strengths and weaknesses, and content gaps.<\/p>\n

Autocomplete doesn\u2019t do all the work for you in terms of keyword research, but it\u2019s a great place to start at or to use early and often when developing content calendars and general organic search strategies.<\/p>\n

Using it\u00a0(along with other keyword resource tools like Google Keyword Planner and other third-party keyword databases) to get an idea of the right keywords you want to target by considering monthly search frequency, competition, and even cost-per-click (CPC) pricing will do your search strategy justice.<\/p>\n

One of the shining advantages of Google Autocomplete is its ability to uncover quality long-tail phrases that are commonly searched across the web.<\/p>\n

Since the primary measure for Autocomplete is popularity \u2014 based on real searches by users in real-time \u2014 the value of Autocomplete lies in its plethora of keyword-level data that you can dig up if you work at it hard and long enough.<\/p>\n

As always, be sure you are signed out of Google to ensure you limit personalization for an unbiased look at predictions.<\/p>\n

Long-tail keywords are incredibly useful when fulfilling content gaps but also offer endless possibilities in terms of high-value blog posts and educational content within a brand\u2019s niche.<\/p>\n

2. Intent Exploration<\/h3>\n

Understanding user intent is important because it guides the goal of the page, its messaging, its layout, and even imagery.\u00a0We know pages perform best when they fully satisfy the user intent<\/a> of a search query.<\/p>\n

You can use Autocomplete to better understand user intent, but doing so can be involved and laborious. Taking the time to visit many different web pages in the search results tied to specific predictions is going to take some time, focus, and content consumption. But the information you can mine from this method is invaluable.<\/p>\n

Keywords overlap various stages of user intent<\/a>, and without more keyword context, it can be tough to understand the intent.<\/p>\n

Autocomplete will help you not just understand different high-value long-tail keywords and the intent surrounding them, but it will also help marketers recognize the volume of content around specific stages of intent, as well as which long-tail phrases and intent stages could be optimized for as a higher priority.<\/p>\n

Of course, for high-value keywords \u2014 long-tail or traditional one-, two-, and three-word phrases \u2014 it\u2019s important to satisfy all stages of intent as they relate to the high-value keywords.<\/p>\n

That\u2019s the idea behind an all-encompassing, quality search strategy. And Autocomplete can help get you there.<\/p>\n

3. Online Reputation Management<\/h3>\n

Autocomplete has been significant in the realm of online reputation management, too.<\/p>\n

Remember, when a user searches for your name or your brand name, the first thing they see, even before your site on the SERP (search engine results page), is the Autocomplete predictions tied to that name.<\/p>\n

If those predictions are negative, or if even just one of them is negative, it can have a real impact on your business\u2019s performance.<\/p>\n

Think about it. You search [Dog Washers Inc] and the first prediction finishes with \u201closes dog,\u201d you probably won\u2019t feel too keen on bringing your dog there for his next bath.<\/p>\n

Same for a restaurant; if you search [Ted\u2019s Seaford Spot] and the prediction finishes with \u201ce. Coli,\u201d I have a pretty good idea of what you\u2019re not eating tonight.<\/p>\n

Autocomplete makes up an important part of online reputation management (ORM) and cannot be ignored when working to balance all negative connections made with brands.<\/p>\n

One must be vigilant, just like most ORM strategies.\u00a0Several ways brands can work to offset negative Autocomplete predictions are:<\/p>\n