Hummingbird still uses Panda and Penguin, as well
as other “old parts” from the previous search algorithm, but it’s an entirely
new system. Google as a car, where Hummingbird is the brand new engine in that
car (which will still have a lot of similar components from the old engine) is
a great way of thinking about this change. Many of the pieces are still the
same but the technology has been updated for a modern search world. Hummingbird
should better focus on the meaning behind the words. It may better understand
the actual location of your home, if you’ve shared that with Google. It might
understand that “place” means you want a brick-and-mortar store. It might get
that “iPhone 5s” is a particular type of electronic device carried by certain
stores. Knowing all these meanings may help Google go beyond just finding pages
with matching words.In particular, Google said that Hummingbird is paying more
attention to each word in a query, ensuring that the whole query — the whole
sentence or conversation or meaning — is taken into account, rather than
particular words. The goal is that pages matching the meaning do better, rather
than pages matching just a few words.
Hummingbird is not a change in how Google
searches the Web, but rather in the results that the search giant shows. Google
is looking to expand the search results to include information that a searcher
might actually mean to be searching for that isn’t explicitly stated in their
search query. Google says it believes that users will see more precise results,
but that Hummingbird is “unlikely to noticeably affect certain categories of
Web businesses.
Impact And Consideration..
1 1)
Increase the details of article and Product-level content:-
·
As Google is more
intended toward intent and meaning behind search phrases, a high level of
detail in content is needed.
·
Especially for
pages targeted toward longer-tail term-opens increased opportunities to rank
for a wider range of terms.
·
To provide Google
with content that can be matched s wider ranges of search phrases.
1
2) Expand Content…
·
Developing deeper
catalogs of meaningful content that can put a brand to be answer of wide range
of query.
·
Integrating user
generated content i.e whether adding reviews to pages or allowing wider posting
by visitors, which can not only help to enhance the reach of current pages but
more quickly expand content catalog-while keeping content fresh.
2 3) Include Schema.org markup on pages and templates
·
Hummingbird comes on the heels of Google’s
efforts to encourage sites to include semantic mark up-specifically schema.org
mark up in content to identify data more thoroughly and create connections to
wider concept.
·
We should use semantic markup to our sites or
make use of Google webmaster tool “data highlighter” as a temporary
alternative. unless we will be steps behind those who are and gap will growing
fast.
3 4) Post content as answers to questions
·
Long tail queries and question based
informational searches makes a tremendous amount of search volume collectively.
·
While many brands focus on searches that are tied
to direct response, answering question that shopper and audience asking-even
those who tangentially related to what you ultimately want them to consider
buying-can act as huge draw for visitor and exposure
·
In brief we need to develop content related to
query-based search, long-tail concepts, and wider content base that looks
beyond immediate direct response.
4 5) Optimize for mobile user..
·
In addition to supporting semantic search, the
ability to better parse voice commands and questions should add further
attention to optimizing your site for mobile search (via Google’s recommended
base platform for responsive design website) and to developing content that can
attract and enable mobile-specific searchers(who tend to use phrases that are
more localized in nature).
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