Hummingbird is about semantics and in order to make your web
pages rank high on the search results, you have to make them semantically
richer. In this post, I will discuss about 5 tools that will help to uncover
the complexities behind semantics and allows you to make your website’s content
semantically richer and user friendly. Get ready to market your site and serve your users well. But before that, let’s have a little
overview on semantic search and the Hummingbird update.
pages rank high on the search results, you have to make them semantically
richer. In this post, I will discuss about 5 tools that will help to uncover
the complexities behind semantics and allows you to make your website’s content
semantically richer and user friendly. Get ready to market your site and serve your users well. But before that, let’s have a little
overview on semantic search and the Hummingbird update.
Contents
The Semantic Search
Semantics is an area of linguistic study which deals with
meanings. Semantics allows you to understand the meaning behind symbols used in
languages. It enables you to detect identities and the relationships between
them. Google has been using semantics since a long period of time but because
semantics deals with a large amount of data complication so it took Google many
years to produce desired results.
meanings. Semantics allows you to understand the meaning behind symbols used in
languages. It enables you to detect identities and the relationships between
them. Google has been using semantics since a long period of time but because
semantics deals with a large amount of data complication so it took Google many
years to produce desired results.
The Hummingbird Update
Google launched the Hummingbird Update in the last week of
August in the year 2013. This update was huge and affected around 90% of the
search queries but interestingly SEO’s and webmasters never saw a huge decrease
or increase in traffic and no one noticed this update until Google announced
about the update a few weeks later of its launch. The reason was it wasn’t a
search spam update which declined the ranking of the site. Instead, it was a
core search algorithm change which changed the manner in which Google predicted
the user search queries.
August in the year 2013. This update was huge and affected around 90% of the
search queries but interestingly SEO’s and webmasters never saw a huge decrease
or increase in traffic and no one noticed this update until Google announced
about the update a few weeks later of its launch. The reason was it wasn’t a
search spam update which declined the ranking of the site. Instead, it was a
core search algorithm change which changed the manner in which Google predicted
the user search queries.
Firstly, Google build up a large database of identities and
their relationships which they call as the “Knowledge Graph”. Then, it started
to use that in order to find out the semantic relationship between the words
present in the user query.
their relationships which they call as the “Knowledge Graph”. Then, it started
to use that in order to find out the semantic relationship between the words
present in the user query.
However, there are several other queries for which Google
still relies on high confidence resources in order to predict and identify
answers to the user query. These resources can be any website which Google
trusts. For locally relevant queries or informational queries, web pages
ranking high have two basic reasons of ranking higher. First is their high
confidence scores with Google and second is that they are semantically more
relevant than the other web pages. Building high reputational scores is
completely based on the number and quality of backlinks your web pages receive
and making the site content semantically more relevant depends on the pattern
of words used in the site.
still relies on high confidence resources in order to predict and identify
answers to the user query. These resources can be any website which Google
trusts. For locally relevant queries or informational queries, web pages
ranking high have two basic reasons of ranking higher. First is their high
confidence scores with Google and second is that they are semantically more
relevant than the other web pages. Building high reputational scores is
completely based on the number and quality of backlinks your web pages receive
and making the site content semantically more relevant depends on the pattern
of words used in the site.
Now, let’s discuss the tools that will make your site
content semantically more relevant:
content semantically more relevant:
Make Your Webpages More Relevant to Search Queries by These Semantic Tools
Sensebot
Sensebot is a
semantic search engine which predicts the user intent behind the search query
and displays results which fulfills the user’s intent. Interestingly, a similar
pattern is followed by Google. What is good with Sensebot is that it also
displays a set of words that are semantically relevant to the user’s original
search query. This means that Sensebot will give us an idea about the words
which we should use in our web pages in order to rank for that search query
(please note, this is not the only factor that Google uses but there are
several other factors for ranking).
semantic search engine which predicts the user intent behind the search query
and displays results which fulfills the user’s intent. Interestingly, a similar
pattern is followed by Google. What is good with Sensebot is that it also
displays a set of words that are semantically relevant to the user’s original
search query. This means that Sensebot will give us an idea about the words
which we should use in our web pages in order to rank for that search query
(please note, this is not the only factor that Google uses but there are
several other factors for ranking).
As for example, for a search query like “Film Making”, Sensebot
displays a set of interrelated words as shown in the image below:
displays a set of interrelated words as shown in the image below:
Clearly enough these words are all interrelated to each
other and any web page that uses these words (or topics) in it will become more
relevant for the search query “film making”. In normal sentence structuring, we
often use these words while writing any article on the topic of film making but
in order to make things even more easier, Sensebot can help us in revealing the
user intent behind the search as any user typing the search query “film making”
would be interested in knowing about Hollywood, movie, filmmakers, producers
etc so inclusion of these topics becomes necessary in order to fulfill the
searchers intent.
other and any web page that uses these words (or topics) in it will become more
relevant for the search query “film making”. In normal sentence structuring, we
often use these words while writing any article on the topic of film making but
in order to make things even more easier, Sensebot can help us in revealing the
user intent behind the search as any user typing the search query “film making”
would be interested in knowing about Hollywood, movie, filmmakers, producers
etc so inclusion of these topics becomes necessary in order to fulfill the
searchers intent.
Synonym-finder
Google does a great job of restructuring the user query by
replacing queries with synonyms even though the user has not entered those
words in the search query box. Having proper synonyms on your web page will
double your chances for ranking well. Synonym-finder
is an awesome tool for finding synonyms for any word.
replacing queries with synonyms even though the user has not entered those
words in the search query box. Having proper synonyms on your web page will
double your chances for ranking well. Synonym-finder
is an awesome tool for finding synonyms for any word.
As for example, for the word “ make”, the synonym-finder displays a
lot of results like “create”, “build”, “prepare” etc. For a query like “how to make a boat”, Google
returns search results containing the word “build” in them even thought the
user has not specifically included it in the search query.
lot of results like “create”, “build”, “prepare” etc. For a query like “how to make a boat”, Google
returns search results containing the word “build” in them even thought the
user has not specifically included it in the search query.
Semantic Link
Another useful tool in finding semantically related words
for a broader meaning search query is semantic
link. This tool helps you to reveal all the words that are related to each
other not just by chance but because they have a relationship between them.
for a broader meaning search query is semantic
link. This tool helps you to reveal all the words that are related to each
other not just by chance but because they have a relationship between them.
As for example, for a broader term like “sun”, Semantic link displays 100 words
bearing a relationship to the word “sun’. Some of them are shown in the image
given below:
bearing a relationship to the word “sun’. Some of them are shown in the image
given below:
Visuwords
Another visually stunning tool which quickly gathers
information like nouns, verbs, adverbs, adjectives, verb group, attribute,
participle of any word is Visuwords.
This tool is certainly helpful to make web pages more relevant for broader
meaning in depth queries.
information like nouns, verbs, adverbs, adjectives, verb group, attribute,
participle of any word is Visuwords.
This tool is certainly helpful to make web pages more relevant for broader
meaning in depth queries.
As for example, for the query “fish”, Visuwords displays the
meaning and associations of the word with other words and concepts. This is
displayed in the figure given below:
meaning and associations of the word with other words and concepts. This is
displayed in the figure given below:
LSIkeywords
LSI keywords lets you analyze the one word, two word and
three words phrases that are present on the web pages ranking in top 5 of
Google search results with respect to the entered search query. This is
immensely helpful in locating terms which might be useful from search engines
relevancy algorithm point of view and which you might have missed to include in
the search results.
three words phrases that are present on the web pages ranking in top 5 of
Google search results with respect to the entered search query. This is
immensely helpful in locating terms which might be useful from search engines
relevancy algorithm point of view and which you might have missed to include in
the search results.
The image below displays LSI Keyword data for the query
“seo”. The tool gathers one word, two word and three word data from the top 5
Google listings ranking for the keyword “seo” in Google search results.
“seo”. The tool gathers one word, two word and three word data from the top 5
Google listings ranking for the keyword “seo” in Google search results.
A Word of Caution
Please make sure to use the above tools as a resource for
better serving your users and not as tools to manipulate Google search results.
Always remember, Google has an expert team of genius minds working for them and
any sort of spam will be easily spotted by Google making your site suffer in
search rankings. Use the above guide as a help to create web pages that helps
to answer the user queries in the best possible way without the sole purpose of
ranking well in the search engines. Do not forget about the engagement metrics
which Google considers before ranking any web page in the search results. Just
making your web pages semantically more relevant would not serve the purpose as
long as the pages are not getting any attention from the real users in terms of
backlinks and social media engagement.
better serving your users and not as tools to manipulate Google search results.
Always remember, Google has an expert team of genius minds working for them and
any sort of spam will be easily spotted by Google making your site suffer in
search rankings. Use the above guide as a help to create web pages that helps
to answer the user queries in the best possible way without the sole purpose of
ranking well in the search engines. Do not forget about the engagement metrics
which Google considers before ranking any web page in the search results. Just
making your web pages semantically more relevant would not serve the purpose as
long as the pages are not getting any attention from the real users in terms of
backlinks and social media engagement.
Also See:
Seo Guide for Schema Vocabulary
Google Query Processing by Identifying Entities
How Google Identifies Substitute Terms of a Query?
Google Patent to Identify Erroneous Business Listings
How Google Identifies Spam in Information Collected From a Source?
Google Patent Named Ranking Documents to Penalize Spammers
Taxonomic Classification While Finding Context of Search Query
Google Granted Patent for Detecting Hidden Texts and Hidden Links
Rich Snippets in Google
