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Google Algorithm Updates
Presented by:
Renuka Jichkar
Google Panda Update
Date:24 February,2011
Panda assigns a so-called “quality Score”
to web pages; this score is then used as
a ranking factor. Initially Panda was a
filter rather than part of Google’s
ranking algo , but in January 2016, It was
officially incorporated into the core
algorithm.
What Panda doesn’t like ?
.Poor User Experience
.Duplicate Content
.Plagiarism
.Thin Content
.Keyword Stuffing
Google Penguin Update
Date:24 April ,2012
Google Penguin’s objective is to
down-rank sites whose links it
deems manipulative. Since late
2016,penguin has been part of
Google’s core algorithm; unlike
Panda ,it works in real time.
Google Penguin Targets
 Link Schemes: The Development ,acquisition or purchase of
backlinks from low-quality or unrelated websites, & also Spam Links.
Keyword Stuffing : Populating a webpages with large
numbers of keywords or repetitions of keywords in an
attempt to manipulate rank via the appearance of relevance
to specific search phrases.
Google Hummingbird Update
Date: 22 August ,2013
Google announced the Hummingbird update on
26th September 2013 but it was in place for
almost a month prior to its launch. Compared to
Panda and Penguin updates that had a drastic
effect on website traffic and lost rankings,
Hummingbird didn’t have any major effects
globally. It was designed to better focus on the
meaning behind the words.
Google Pigeon Update
Launched in July 2014 and focusing on U.S. English
results, the Pigeon algorithm update focuses on providing
more useful relevant and accurate local search results tied
more closely to traditional web search ranking signals. As
per Google, this new update improved their distance and
location ranking parameters.
Google Mobile-Friendly Update
Released in April 2015, Google’s Mobile-Friendly update was
designed to give a major boost to pages that were mobile-friendly
in Google’s mobile search results. Referred to by a variety of
names such as Mobilegeddon, mopocalypse, mobocalypse
or mobilepocalyse, one of the best ways to test if your page is
mobile-friendly is by using the Mobile-Friendly test tool..
Google Rank Brain Algorithm
Launched in early 2015 and used globally by Google, Rank Brain
is a machine-learning AI system helping Google process its
search results, in particular, rare or one-of-a-kind queries. It is
primarily focused to help refine queries processed by Google as
well as helping Google rank web pages.
In fact, Google considers Rank Brain as it’s the third most
important ranking factor.
Google Possum Algorithm
Date:
A recent unconfirmed update from Google was Possum.
The process of possum algorithm is to find the local pack
and local finder. It focuses on local business listings in the
SERP results.
Bidirectional Encoder
Representation from
Transformers(BERT)
Date:22 October 2019
The Google Medic update seemed to disproportionately affect
medical websites as well as other websites that have to do with
potentially life-altering decisions (finance, law, education).
Although not explicitly confirmed, Google representatives have
hinted that the update implemented some of the E-A-T (expertise,
authority, trust) signals from the Quality Rater Guidelines
document.
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Google Algorithm Updates

  • 2. Google Panda Update Date:24 February,2011 Panda assigns a so-called “quality Score” to web pages; this score is then used as a ranking factor. Initially Panda was a filter rather than part of Google’s ranking algo , but in January 2016, It was officially incorporated into the core algorithm.
  • 3. What Panda doesn’t like ? .Poor User Experience .Duplicate Content .Plagiarism .Thin Content .Keyword Stuffing
  • 4. Google Penguin Update Date:24 April ,2012 Google Penguin’s objective is to down-rank sites whose links it deems manipulative. Since late 2016,penguin has been part of Google’s core algorithm; unlike Panda ,it works in real time.
  • 5. Google Penguin Targets  Link Schemes: The Development ,acquisition or purchase of backlinks from low-quality or unrelated websites, & also Spam Links. Keyword Stuffing : Populating a webpages with large numbers of keywords or repetitions of keywords in an attempt to manipulate rank via the appearance of relevance to specific search phrases.
  • 6. Google Hummingbird Update Date: 22 August ,2013 Google announced the Hummingbird update on 26th September 2013 but it was in place for almost a month prior to its launch. Compared to Panda and Penguin updates that had a drastic effect on website traffic and lost rankings, Hummingbird didn’t have any major effects globally. It was designed to better focus on the meaning behind the words.
  • 7. Google Pigeon Update Launched in July 2014 and focusing on U.S. English results, the Pigeon algorithm update focuses on providing more useful relevant and accurate local search results tied more closely to traditional web search ranking signals. As per Google, this new update improved their distance and location ranking parameters.
  • 8. Google Mobile-Friendly Update Released in April 2015, Google’s Mobile-Friendly update was designed to give a major boost to pages that were mobile-friendly in Google’s mobile search results. Referred to by a variety of names such as Mobilegeddon, mopocalypse, mobocalypse or mobilepocalyse, one of the best ways to test if your page is mobile-friendly is by using the Mobile-Friendly test tool..
  • 9. Google Rank Brain Algorithm Launched in early 2015 and used globally by Google, Rank Brain is a machine-learning AI system helping Google process its search results, in particular, rare or one-of-a-kind queries. It is primarily focused to help refine queries processed by Google as well as helping Google rank web pages. In fact, Google considers Rank Brain as it’s the third most important ranking factor.
  • 10. Google Possum Algorithm Date: A recent unconfirmed update from Google was Possum. The process of possum algorithm is to find the local pack and local finder. It focuses on local business listings in the SERP results.
  • 11. Bidirectional Encoder Representation from Transformers(BERT) Date:22 October 2019 The Google Medic update seemed to disproportionately affect medical websites as well as other websites that have to do with potentially life-altering decisions (finance, law, education). Although not explicitly confirmed, Google representatives have hinted that the update implemented some of the E-A-T (expertise, authority, trust) signals from the Quality Rater Guidelines document.