Hummingbird

Hummingbird is the name of the major rewrite of Google's search algorithm, released in 2013. With Hummingbird, Google moved from matching individual words to interpreting the meaning behind a query: synonyms, context and the intent behind the words. The update stands as the starting point for the semantic search we know today.

What Hummingbird changed

Where Panda and Penguin were filters laid on top of the existing algorithm, Hummingbird replaced the engine itself. Google became markedly better at conversational queries along the lines of "where do I find the best coffee near me", which the old system would answer by hunting for pages containing those exact words. The update also tied search closer to the Knowledge Graph, Google's database of entities and the relations between them, so a query about a person, a brand or a place could be answered with knowledge rather than text matching. RankBrain and later BERT built on the same direction.

Why it still matters

The line from Hummingbird runs straight to the present. AI Overviews and AI Mode are the current culmination of the shift it set in motion: search that understands questions and formulates answers. For SEO the inheritance is that content gets built around topics and search intent, while the hunt for verbatim keyword matches belongs to the past. Pages that cover a topic properly match the way the algorithm reads, and the guide to semantic SEO builds content on that premise.