Google Hummingbird is a significant improvement because it lends understanding to the contextual intent and meaning of terms used in a query.
Back in August of 2013, Google unveiled its new algorithm for search – Google Hummingbird. Hummingbird allows the Google search engine to better do its job through improvements in semantic search. Semantic search is conversational search – “What’s the best pizza place in dc?” – “How do I get to the Redskins’ stadium?” – “How old is RG3?”
Let’s take a closer look at my semantic search examples.
1) “What’s the best pizza place in dc?”
Hummingbird does a really good job with synonyms, so it takes my query and substitutes “place” with “restaurant”. It also knows that in this context “dc” refers to “Washington, DC”, “district of columbia”, and even the entire “DC metro area”.
2) “How do I get to the Redskins’ stadium?”
One of the cool new features of the Hummingbird algorithm is something called the Knowledge Graph. The Knowledge Graph is a gigantic semantic database with more than 570 million objects and more than 18 billion facts about and relationships between different objects that are used to understand the meaning of the keywords entered for the search. So in my example “How do I get to Redskins’ stadium?”, Hummingbird first figures out where I am (it knows this because it queries my IP address) and then the Knowledge Graph shows me a Google map to Fedex field, it tells me how long it will take in my car, how many miles it is to the stadium, and there’s even a drop-down with turn-by-turn directions from my house to the stadium.
3) “How old is rg3?”
In this query, Google Hummingbird is starting to do something really interesting. It uses the contextual information from my previous search to help confirm that “rg3” in this context means “Robert Griffin Jr, the 3rd.” Then the Knowledge Graph tells me that he’s 23 years old, his birthday is February 12, 1990, and a whole host of other related information – his 40 yard dash time, where he was born, who he’s married to, how much he makes, his career stats as well as his stats for the past 3 games.
Keywords are still central to SEO
Google’s algorithm continues to be a complex mix of factors that weigh the relevancy of a page for a query. That hasn’t changed.
While some people may be panicking that their SEO strategy needs to be revamped, if you have been evolving on a natural SEO pace, there’s nothing to worry about. You’re on the right track.
Here is a sample of some of the things that continue to matter:
- Mobile SEO: Conversational search is driven by the way people search using their mobile devices — so, mobile optimization is going to continue to be critical.
- Structured Data Markup: Providing search engines with as much information as possible about your page content helps them do their job better. Structured data can also improve click-through rates in the search results when displayed in rich snippets.
- Google+: Google’s social network is essential in helping to identify your online brand, connecting it with concepts and serving your content in the Google results.
- Links: Google may not want SEOs obsessing over PageRank data, but that doesn’t mean links are irrelevant. Links help Google put concepts together on the Web; they also send strong signals to Google about page credibility.
- Keyword Optimization & Content Creation: Nowadays, it seems there is a lot of debate over the usefulness of focusing on keywords. But keywords are not dead. Quality content is crucial, and that includes at least some level of keyword optimization.