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Hummingbird Algorithm

What is Google Hummingbird Algorithm? 2021 guide!

Google Hummingbird Algorithm

Google’s algorithms are always changing or revising, and each step follows one or more destinations. Users have always attempted to optimize the algorithms to show the best results for a better examination. On the other hand, this can occasionally be a challenge for websites because they need to nourish rate, copy-free content to organize better. Google Hummingbird is one of the few algorithms that aims to enhance the quality of any examination results.

This article plans to fully describe this algorithm and resolve how it differs from other algorithms and how it performs. Also, you can have simple and useful examples to better communicate with the subject to have a better mentality.

What you need to know first

The problem of website ranking is necessary in the internet world. And it is an issue that you should handle by range and SEO. In straightforward terms, we imply that if you like to have a more suitable place in search machines. And increase your chances of attracting an audience and a customer. You must deliver the right content. This sentence is not the end of the narrative, and your content must be SEO because otherwise, no point how useful it is, no one will see you.

You may be wondering what this has to do with Google Hummingbird? Do not rush because we explain everything thoroughly. In the past, websites tested to a more suitable place by simply placing keywords at the start and end of content or other forms. Sometimes these methods were scams because over-repetition of the keyword in the text or making spam links enhanced the sites’ ranking while maintaining no useful content to .

Teaching new algorithms

It was here that Google chose to make rare changes, and in 2011 introduced the Panda algorithm. Or Google Panda, which ranked pages founded on many factors. One of the major elements was quality content, and the primary purpose of this algorithm was to punish sites with poor quality content. The story did not end there, and in 2012 another algorithm called Penguin was introduced.

Google has some distinctions between the two algorithms, which we will describe beneath. But before we learn slightly more about Google Penguin. Its purpose was to punish sites that broke specific policies, so like Panda, it was created to lower rankings. 3% of English examination outcomes changed with its design, and other languages ​​also changed.

Google Hummingbird Algorithm, the new adaptation

This algorithm was presented in 2013 and returned the last algorithm, caffeine, and involved 90% of searches. It is good to know that few of its processes are identical to Panda and Penguin (for example, concentrating on content quality). Still, you can present it with a different purpose. The difference is that this algorithm does not penalize the ranking and changes the search results. In this method, rather than paying attention to the extent of the words individually, the meaning behind it and you can carefully observe the connections.

With Google Hummingbird’s algorithm, the optimization for synonyms is good. The general purpose and theme are considered rather of the search result being exactly the same as the words used. Google always uses synonyms, but it can determine what the search is about and what the user is examining for. In this way, you should consider using words with similar meanings, and the investigation is greatly optimized, known as semantic search.

Further changes and results

Designing this Technology aims to provide a greater understanding of search. In other words, to make human algorithms human and meaning-paying. The goal of creating this technology is to improve Google’s learning graph, meaning that the outcomes shown are semantically linked to other topics.

Google Hummingbird Algorithm and Knowledge Tree

The introduction was A few SERPs and knowledge Graph a year before Google Hummingbird’s algorithm. SERP stands for Search Engine Outcomes Page and just the results Google shows after a search. If you do not understand what a graph is, we will demonstrate it with a straightforward example. Consider the following image, which consists of several circles joined by several lines.

What Google Knowledge Graph does is comparable to the image above. It delivers you several related effects(interconnected circles) that are somehow relevant to your examination when you search. So each page or related outcome shows you the role of the circles pictured above, which you can display for connection investigation. This semantic association uses famous websites such as Wikipedia or the like. For example, spend attention to the ensuing figure:

When we searched for Leonardo da Vinci, a few questions can see at the bottom right of the Wikipedia page, and this is what the knowledge tree does. With the capabilities of Google’s Hummingbird algorithm, it tries to display semantically relevant content. 

What is the impact of Google’s Hummingbird Algorithm on SEO?

With the opening of this algorithm, SEO has changed a bit, and you should not skip this issue. Experts in this area and marketers discovered that the most significant thing to present Google is the environment or Context content on web pages. Google has extended valued pages based on their content; So Google Hummingbird aims to direct users to the right and appropriate page rather than the site’s first page.

The website’s ranking is again essential in periods of its links, which is still one of the most crucial elements in this algorithm. Simply put, the relationship between your website and others helps Google comprehend what you and your business are doing. This means was taught to SEO experts using the Penguin algorithm, but Google Hummingbird emphasizes that irrelevant and weak content links are considered wrong links.

What’s the solution?

Despite these reasons, what counts to websites is the topic matter and content about the connection to the website. For this cause, it creates the use of many synonymous words with close purposes at the same time. While keywords are still important, this algorithm raises the importance of the term as a whole, which permits optimizing the content inherently and the questions that are asked.

The significance of this issue grows with the use of words such as what, which, when, or how and the help of voice search. Despite this reason, the process is as usual. You need to refill your website with quality content to reply to these.

Improve SEO using Google Hummingbird Algorithm

The presence of this algorithm provoked a lot of people to fear and see it as a danger, but in fact, it is not, and delivering it is an option to be seen! We explained before that content is the answer, but now we want to demonstrate it in more elements. By using content, you need to provide Google with more chances to find you and to do this, you need to improve the traffic to your website. The more content you develop, the more pages your website gets, and it’s actually like completing more entries to enter.

Of course, your content must be suitable in addition to existing quality, and we have already described it. Content can help Google’s Hummingbird algorithm in several ways:

  • There are more additional pages, individually with responses to questions.
  • Cover more cases in your area.
  • You have more options to use longer keywords, particularly since semantic examination has evolved essential.
  • Video is yet a great opportunity, and numerous individuals use it, so you can direct them to your website operating the link.
  • You can use infographic or inscription methods because they are still modern in search engines such as Google, and you can operate them to see more than earlier.

What is the future of Google Hummingbird’s algorithm?

Google Hummingbird, like everything else, changes and is not fixed, and maybe extinct or have significant differences. Despite all these explanations, this algorithm does not seem to be abandoned any time soon, primarily since it focuses so much on quality content. they should explain about Several areas that change under its influence.

Natural language processing and artificial intelligence

Natural language processing is how a machine interprets human language and responds to it correctly. Experts say this plays an important part in the future, and if you look near at current modifications to Google, you can notice how precise the results are. However, you can claimthat there is still room for significant progress. This field is closely related to artificial intelligence and, in many cases, complements each other, one of the results you can see in Siri.

Internet of Things

What is the following measure if we can smoothly find what we must by searching for the purpose resulting from Google Hummingbird’s algorithm? The solution is that the world and things about us must respond likewise. Suppose that you want to journey to another city and ask your voice assistant to set it for you. Google AI operates the estimates it performs to show you the best way, price, and date. Then, it will automatically complete the reservation, cost, or the like for you.


This article explained Google Hummingbird and said it is one of the most critical changes in the Google search process. What this algorithm is, how it differs from previous pandas and penguins, and how it works.