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Google recently just rolled out its new
Helpful Content update was released by
Google on 25th Aug 2021. Google’s Helpful
Content Update is a new algorithm update
that is designed to reward websites that
produce high-quality content written for
people.
The helpful content update gives more
importance on a visitor’s satisfying
website experience. This update aims to
reward websites that prioritize the user’s
overall experience.
Google also mentioned that for you to succeed given this
update, content should be created with users in mind instead
of search engines.
Google states that their long-standing advice and guidelines are still
the best practices to follow if you want to create successful content
in the midst of the update. To be more specific, let us discuss a few
things to help you keep up with the helpful content update.
E-E-A-T in SEO stands for Experience, Expertise,
Authoritativeness and Trustworthiness. The extra
E, Experience was added by Google in late 2022.
In 2022 Google confirmed E-A-T is rated for every
query that is searched. The concept of E-A-T is
discussed in great detail in Google’s Quality
Rater’s Guidelines.
Google’s own documentation tells us “if you
understand how rater’s learn to assess good
content, that might help you improve your own
content.”
I’ll be updating this article soon to share more about the
extra E Google has added to E-A-T, Experience.
For example, if you service a medical clientele in real life,
you’ve got E-A-T. There will be signals online that speak to
your legitimacy. Citations that you would expect a business
to have such as a Google Business Profile, social profiles,
mentions in the news, links from business partners are all
signals that Google can use.
Google says that E-A-T is very important. The rater’s
are given many guidelines to consider when it comes
to evaluating E-A-T.
If your site is a medical, legal, or financial
site, then having good E-A-T is crucial. What
does it mean to “have good E-A-T?” If Google
detects a query is YMYL, they put more
weight into the E-A-T signals that
demonstrate that you are recognized as a
good source of information on this topic.
Natural language processing (NLP) is the
ability of a computer program to understand
human language as it is spoken and written -
- referred to as natural language. It is a
component of artificial intelligence (AI).
It has a variety of real-world applications in a
number of fields, including medical research,
search engines and business intelligence.
NLP enables computers to understand natural language as
humans do. Whether the language is spoken or written,
natural language processing uses artificial intelligence to
take real-world input, process it, and make sense of it in a
way a computer can understand.
just as humans have a brain to process that input,
computers have a program to process their respective
inputs. At some point in processing, the input is converted
to code that the computer can understand.
There are two main phases to natural language
processing: Data pre-processing and algorithm
development.

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Helpful Content Update.pptx

  • 1.
  • 2. Google recently just rolled out its new Helpful Content update was released by Google on 25th Aug 2021. Google’s Helpful Content Update is a new algorithm update that is designed to reward websites that produce high-quality content written for people. The helpful content update gives more importance on a visitor’s satisfying website experience. This update aims to reward websites that prioritize the user’s overall experience.
  • 3. Google also mentioned that for you to succeed given this update, content should be created with users in mind instead of search engines. Google states that their long-standing advice and guidelines are still the best practices to follow if you want to create successful content in the midst of the update. To be more specific, let us discuss a few things to help you keep up with the helpful content update.
  • 4. E-E-A-T in SEO stands for Experience, Expertise, Authoritativeness and Trustworthiness. The extra E, Experience was added by Google in late 2022. In 2022 Google confirmed E-A-T is rated for every query that is searched. The concept of E-A-T is discussed in great detail in Google’s Quality Rater’s Guidelines. Google’s own documentation tells us “if you understand how rater’s learn to assess good content, that might help you improve your own content.”
  • 5. I’ll be updating this article soon to share more about the extra E Google has added to E-A-T, Experience. For example, if you service a medical clientele in real life, you’ve got E-A-T. There will be signals online that speak to your legitimacy. Citations that you would expect a business to have such as a Google Business Profile, social profiles, mentions in the news, links from business partners are all signals that Google can use.
  • 6. Google says that E-A-T is very important. The rater’s are given many guidelines to consider when it comes to evaluating E-A-T.
  • 7. If your site is a medical, legal, or financial site, then having good E-A-T is crucial. What does it mean to “have good E-A-T?” If Google detects a query is YMYL, they put more weight into the E-A-T signals that demonstrate that you are recognized as a good source of information on this topic.
  • 8.
  • 9. Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken and written - - referred to as natural language. It is a component of artificial intelligence (AI). It has a variety of real-world applications in a number of fields, including medical research, search engines and business intelligence.
  • 10.
  • 11. NLP enables computers to understand natural language as humans do. Whether the language is spoken or written, natural language processing uses artificial intelligence to take real-world input, process it, and make sense of it in a way a computer can understand. just as humans have a brain to process that input, computers have a program to process their respective inputs. At some point in processing, the input is converted to code that the computer can understand. There are two main phases to natural language processing: Data pre-processing and algorithm development.