In
late September 2013, Google unveiled an upgrade of its search algorithm. The
algorithm, named Hummingbird, is the first major upgrade in three years. The
algorithm has been rewritten to such an extent that one could say this in a
replacement and not an upgrade, according to Amit Singhal, Google’s search
chief.
Any
major change to Google’s search algorithm is meant to have a material say in
the evolution of the Web. The latest version of The Authority Report by Parse.Ly,
which was published in July 2013, estimates that Google has about 65-70 percent
of the market share in the USA. The graph below illustrates the global market
share, according to NetMarketShare (September 2013). Interestingly, I used
Google, to get this information.
Figure
1: Global Market Share for Search Engines (September 2013), NetMarketShare
Hummingbird
has been in use for over a month, and affects about 90% of Google searches.
Hummingbird is different from predecessors and upgrades like Penguin, Panda and
Caffeine in that it ranks information on a more intelligent understanding of
search questions or requests, while the predecessors focused on better indexing
of websites.
Google
has sought to align itself to the semantic Web through a number of initiatives
prior to the introduction of Hummingbird. In May 2912, it introduced the
Knowledge Graph, a system that connects objects that are popular and relevant
for particular searches. The discourse around search engine optimisation is
around an inevitable world of semantic searching.
David
Amerland, a search engine expert and author of Google Semantic Search
sees Hummingbird as an extension of Google’s semantic capabilities, as it
increases the ability to deal with complex search queries and improves the
indexing of entities in Web documents. He sees these capabilities enriching the
Knowledge Graph (a Google knowledge base to enhance the search engine’s search
results through semantic technology). Hummingbird doesn’t treat search queries
as a group of keywords but attempts to understand the meaning of a query. It
tries to answer questions and not simply match keywords with documents.
Trond
Lyngbø, a senior SEO strategist and partner at Metronet in Norway also affirms
that the major objective of Hummingbird is to trying to find the intent behind
the queries, and offer a solution, It will go a long way towards removing
irrelevant information from search engine results pages.
Hummingbird
will compel businesses to change how they present information on the Web. Web
content needs to satisfy the intent of the person making the search. One can
see this as an evolution from ‘dumb’ keyword search optimisation, to best guessing
what a searcher’s user intent and matching it with relevant content, to
contextualising searches and personalizing them according to location,
platform, prior searches, etc. Web content needs to be deep and seen as the
most relevant piece of content for any given query. The elimination of keywords
data from analytics has ushered in an era where authorityship matters more than
key words.
Rather
than ensure that your website captures key words likely to be searched,
businesses will need to position themselves as leaders or authorities around a
particular area. The quality of content, or the level of expertise will
influence search results. Companies will be increasingly more involved in
social media to understand what their customers are interested in, and build
their content around that.
Google
has had to make changes of this nature to adapt to realities such as how the
Internet is accessed these days. Tablets and mobile devices, with capabilities
such as voice activation search options are some of these realities. Companies
will therefore also have to adapt, and search engine optimisation strategies
will be a business imperative going forward.
Reference
Reference
Gesenhues, A. (2013). Google’s Hummingbird Takes Flight:
SEOs Give Insight On Google’s New Algorithm, Available Online: http://searchengineland.com/hummingbird-has-the-industry-flapping-its-wings-in-excitement-reactions-from-seo-experts-on-googles-new-algorithm-173030
[Accessed 15 October 2013]

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