The Hummingbird algorithm by allowing

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What it was really about was having an algorithm that could cope with the new forms of voice search , which is increasingly colloquial.

But in addition, Google Hummingbird promised to be able to identify the correct term in searches that users performed using polysemic words.

Over time, we saw that all these promises were not fully fulfilled.

Hummingbird was often able to interpret the query, but was far conduit cn mobile database from doing so 100% of the time, which is why they launched Rank Brain.

Semantic Search Technology

Rankbrain: the artificial intelligence that helps Hummingbird
Since 2015, Rankbrain has helped Google identify the intent of searches by applying artificial intelligence.

Thanks to this update, Google is able to learn and provide an optimal response to new queries that have not been asked before.

Rankbrain improves it to better recognize the intent of each search.

All of this has certain implications both for search engine users, for the way Google treats these queries and, most importantly for us, for the way we should do semantic SEO.