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Algorithms of
Google
These algorithms are complex
systems designed to evaluate and
rank web pages
Written by: Anam Ansar
Adan IT Center
PageRank
(1996)
Purpose: The original algorithm that
started it all. PageRank evaluates the
quality and quantity of links pointing to
a webpage to determine its importance.
Impact: Websites with more high-quality
backlinks ranked higher
Panda (2011)
Purpose: Targets low-quality or thin
content and penalizes websites with
duplicate, spammy, or irrelevant
content.
Impact: Websites with high-quality,
original content saw improvements in
rankings, while content farms and low-
quality sites were demoted.
Penguin (2012)
Purpose: Focuses on link
quality and penalizes websites
with spammy or manipulative
backlink practices (e.g., buying
links, link farms).
Impact: Websites with
unnatural or low-quality
backlinks saw ranking drops.
Hummingbird
(2013)
Purpose: Improves
understanding of search
queries by focusing on
semantic search (context and
intent) rather than just
keywords.
Impact: Better handling of
conversational queries and
long-tail keywords.
Pigeon (2014)
Purpose: Prioritizes mobile-
friendly websites in mobile
search results.
Impact: Websites without
responsive design or mobile
optimization saw drops in
mobile rankings.
Purpose: Improves local search
results by tying them closer to
traditional web search ranking
signals.
Impact: Local businesses saw
more accurate and relevant
local search rankings.
Mobilegeddon
(2015)
RankBrain
(2015)
Purpose: Improves local search
results by filtering out spammy
listings and considering the
searcher’s location more
accurately.
Impact: Local businesses saw
more diverse and location-
specific results.
Purpose: A machine learning-
based algorithm that helps
Google process and
understand complex or
ambiguous search queries.
Impact: Improved handling of
never-before-seen queries and
better understanding of user
intent.
Possum (2016)
Fred (2017)
Purpose: A core algorithm
update that primarily
impacted websites in the "Your
Money or Your Life" (YMYL)
niches, such as health, finance,
and legal.
Impact: Websites with poor
expertise, authority, or
trustworthiness (E-A-T) saw
ranking drops.
Purpose: Targets low-value
content created primarily for
ad revenue rather than user
benefit.
Impact: Websites with
excessive ads or affiliate links
without useful content saw
ranking drops.
Medic (2018)
BERT (2019)
Purpose: Broad updates to
Google’s core algorithm that
aim to improve overall search
quality.
Impact: Websites providing the
most relevant and
authoritative content tend to
benefit, while others may see
fluctuations.
Purpose: A natural language
processing (NLP) algorithm
that helps Google understand
the context of words in search
queries.
Impact: Improved
understanding of
conversational queries,
prepositions, and complex
sentences.
Core Updates
(Ongoing)
Page
Experience
Update (2021) Purpose: Rewards websites
with content created primarily
for users rather than search
engines.
Impact: Websites with "people-
first" content saw
improvements, while those
with "search-engine-first"
content were demoted.
Purpose: Introduces Core Web
Vitals (loading, interactivity,
and visual stability) as ranking
factors, alongside mobile-
friendliness, HTTPS, and
intrusive interstitials.
Impact: Websites with better
user experience metrics saw
ranking improvements.
Helpful Content
Update (2022)
Spam Updates
(Ongoing)
Purpose: Targets spammy
practices like cloaking,
keyword stuffing, and link
schemes.
Impact: Websites using
manipulative tactics saw
ranking drops or removal from
search results.

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"How Google’s Algorithms Rank your Websites"

  • 1. Algorithms of Google These algorithms are complex systems designed to evaluate and rank web pages Written by: Anam Ansar Adan IT Center
  • 2. PageRank (1996) Purpose: The original algorithm that started it all. PageRank evaluates the quality and quantity of links pointing to a webpage to determine its importance. Impact: Websites with more high-quality backlinks ranked higher Panda (2011) Purpose: Targets low-quality or thin content and penalizes websites with duplicate, spammy, or irrelevant content. Impact: Websites with high-quality, original content saw improvements in rankings, while content farms and low- quality sites were demoted.
  • 3. Penguin (2012) Purpose: Focuses on link quality and penalizes websites with spammy or manipulative backlink practices (e.g., buying links, link farms). Impact: Websites with unnatural or low-quality backlinks saw ranking drops. Hummingbird (2013) Purpose: Improves understanding of search queries by focusing on semantic search (context and intent) rather than just keywords. Impact: Better handling of conversational queries and long-tail keywords.
  • 4. Pigeon (2014) Purpose: Prioritizes mobile- friendly websites in mobile search results. Impact: Websites without responsive design or mobile optimization saw drops in mobile rankings. Purpose: Improves local search results by tying them closer to traditional web search ranking signals. Impact: Local businesses saw more accurate and relevant local search rankings. Mobilegeddon (2015)
  • 5. RankBrain (2015) Purpose: Improves local search results by filtering out spammy listings and considering the searcher’s location more accurately. Impact: Local businesses saw more diverse and location- specific results. Purpose: A machine learning- based algorithm that helps Google process and understand complex or ambiguous search queries. Impact: Improved handling of never-before-seen queries and better understanding of user intent. Possum (2016)
  • 6. Fred (2017) Purpose: A core algorithm update that primarily impacted websites in the "Your Money or Your Life" (YMYL) niches, such as health, finance, and legal. Impact: Websites with poor expertise, authority, or trustworthiness (E-A-T) saw ranking drops. Purpose: Targets low-value content created primarily for ad revenue rather than user benefit. Impact: Websites with excessive ads or affiliate links without useful content saw ranking drops. Medic (2018)
  • 7. BERT (2019) Purpose: Broad updates to Google’s core algorithm that aim to improve overall search quality. Impact: Websites providing the most relevant and authoritative content tend to benefit, while others may see fluctuations. Purpose: A natural language processing (NLP) algorithm that helps Google understand the context of words in search queries. Impact: Improved understanding of conversational queries, prepositions, and complex sentences. Core Updates (Ongoing)
  • 8. Page Experience Update (2021) Purpose: Rewards websites with content created primarily for users rather than search engines. Impact: Websites with "people- first" content saw improvements, while those with "search-engine-first" content were demoted. Purpose: Introduces Core Web Vitals (loading, interactivity, and visual stability) as ranking factors, alongside mobile- friendliness, HTTPS, and intrusive interstitials. Impact: Websites with better user experience metrics saw ranking improvements. Helpful Content Update (2022)
  • 9. Spam Updates (Ongoing) Purpose: Targets spammy practices like cloaking, keyword stuffing, and link schemes. Impact: Websites using manipulative tactics saw ranking drops or removal from search results.