{"id":20519,"date":"2020-01-30T11:34:05","date_gmt":"2020-01-30T11:34:05","guid":{"rendered":"https:\/\/www.arimetrics.com\/glosario-digital\/google-hummingbird"},"modified":"2026-09-20T10:05:59","modified_gmt":"2026-09-20T10:05:59","slug":"google-hummingbird","status":"publish","type":"encyclopedia","link":"https:\/\/www.arimetrics.com\/en\/digital-glossary\/google-hummingbird","title":{"rendered":"Google Hummingbird"},"content":{"rendered":"<p><img decoding=\"async\" class=\"boxpad alignright wp-image-14387 size-full\" src=\"https:\/\/www.arimetrics.com\/wp-content\/uploads\/2020\/01\/google_hummingbird.jpg\" alt=\"Google Hummingbird\" width=\"300\" height=\"300\" style=\"margin-top:0;\" srcset=\"https:\/\/www.arimetrics.com\/wp-content\/uploads\/2020\/01\/google_hummingbird.jpg 300w, https:\/\/www.arimetrics.com\/wp-content\/uploads\/2020\/01\/google_hummingbird-150x150.jpg 150w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><strong>Definition:<\/strong><\/p>\n<p><strong>Google Hummingbird<\/strong> was the name given to a major overhaul of the <a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/google-algorithm\">Google algorithm<\/a>, introduced in 2013 to interpret the meaning and context of queries more effectively. Its name referred to the speed and precision that Google associated with the new system.<\/p>\n<p>Google announced Hummingbird on 26 September 2013, although it said that the system had already been operating for approximately one month. The company estimated that it affected around 90% of searches, indicating that it was a broad renewal of query processing rather than an isolated adjustment.<\/p>\n<p>Unlike Panda and Penguin, Hummingbird was not primarily presented as a system for addressing low-quality content or manipulative links. Its purpose was to interpret what the user was looking for more effectively, particularly in long, complex or conversational queries.<\/p>\n\n<h2>Characteristics of Google Hummingbird<\/h2>\n<p>Hummingbird made it possible to analyse a query as a related whole instead of relying solely on matches between individual words. It considered context, relationships between terms and the likely search intent.<\/p>\n<p>This approach was particularly useful for conversational searches and complete questions. For example, the meaning of a word can vary according to the other terms in the query, the location or the relationship between the entities mentioned.<\/p>\n<p>Hummingbird did not remove PageRank, keywords or other existing systems. It incorporated them into a broader architecture capable of combining different signals to retrieve and rank results.<\/p>\n<h2>How Google Hummingbird works<\/h2>\n<p>When someone performs a search, Google analyses the terms used and the relationships between them to determine which pages and types of results may provide the most useful response. Hummingbird improved this process by paying greater attention to the overall meaning of the query rather than only to literal matches.<\/p>\n<p>This helped Google connect different ways of expressing the same need and, where appropriate, display results such as web pages, local information, images, direct answers or information about entities.<\/p>\n<p>For SEO, Hummingbird reinforced the importance of explaining subjects clearly, covering the necessary relationships and addressing search intent. It did not create a separate optimisation technique or a specific penalty. Nor did it make keywords unnecessary: they continue to provide context when used naturally and accurately.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Definition: Google Hummingbird was the name given to a major overhaul of the Google algorithm, introduced in 2013 to interpret the meaning and context of queries more effectively. Its name referred to the speed and precision that Google associated with the new system. Google announced Hummingbird on 26 September 2013, although it said that the [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"template":"","encyclopedia-tag":[1249],"class_list":["post-20519","encyclopedia","type-encyclopedia","status-publish","hentry","encyclopedia-tag-search-algorithms"],"_links":{"self":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia\/20519","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia"}],"about":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/types\/encyclopedia"}],"author":[{"embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/users\/6"}],"wp:attachment":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/media?parent=20519"}],"wp:term":[{"taxonomy":"encyclopedia-tag","embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia-tag?post=20519"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}