497 SW Marine Dr #447, Vancouver, BC V5X 0C7

What is Google Hummingbird algorithm?

What is Google Hummingbird algorithm?

Google first introduced the hummingbird algorithm on August 22, 2013. The algorithm does not have a direct impact on the ranking results, but rather examines the word or sentence that the user searches for and tries to show the better results. Google Hummingbird algorithm analyzes the phrases that users enter and gives them the best results, so there is no need for a particular change in the direction of favorability for this bird, and it is enough to focus on phrases that are searched by users and, in fact, produce materials based on the user’s needs. The algorithm made its latest update on September 26.

Google’s HummingBird algorithm is responsible for interpreting search queries (especially larger, colloquial queries). The algorithm works very quickly and accurately, knows the synonym of words to some extent, and helps Google deliver results that are closer to the user’s will (not necessarily including the keyword search term).

Although the keyword search term is very important,but hummingbird with the help of Google Knowledge Graph and Semantic search can provide better and more relevant results to the user. In fact, by using this algorithm, Google shows results that are semantically close to the search term in SERP results instead of listing the results that exactly contain the keyword.

The features that Google Hummingbird algorithm examines include:

  • Targeting on a keyword
  • Excessive use of keywords

Optimization for Google Hummingbird algorithm

1- Expand your research in the field of keywords:

knowing the hummingbird’s performance, it’s a good idea if, instead of relying on a short and specific keyword, focus on relevant searches, synonymous words and terms, and use them to diversify your content.

2- learn your audience language:

An extraordinary way is to use a tool to identify your keywords such as brand name, competitors, industrial terminology, etc. On social media and on a larger scale, use the web and check how your audience is talking about them.

3- Instead of trying to fully adapt to key phrases, consider the concepts:

Abnormal expressions are still used in the content of websites, especially in the meta titles and descriptions, but with the growth of search engines in the field of natural language processing, this can be problematic. If you use a language such as bot language for the content of your site pages, please stop! The use of keywords in titles and descriptions is very important, but keep in mind that the author of the content should look like a human being, not a robot! Improving the meta title and description will surely attract users and, consequently, increase the click rate of the site.

4- Use standard markup (Schema):

Schema is actually a series of data and commands that are added to website codes to mark content and specify important sections. Thus, Google will have a better understanding of the content of the page.

Leave feedback about this