Embark on an illuminating journey into the heart of Google's intricate algorithms with our captivating presentation. In this insightful exploration, we will delve deep into the mechanics that govern online visibility, uncovering the key principles behind Google's search algorithms. From understanding the role of keywords and backlinks to unraveling the mysteries of RankBrain and machine learning, this presentation promises to demystify the ever-evolving landscape of search engine optimization. Whether you're a seasoned digital marketer seeking to enhance your strategies or a curious novice eager to unlock the secrets of online success, join us as we navigate through the labyrinth of Google's algorithms, equipping you with the knowledge and tools to thrive in the competitive realm of the digital age

1. GOOGLE
,
ALGORITHM
IN ,SEO
Presentation by
CHHERING ZANGMO

2. WHAT IS GOOGLE
ALGORITHMS
1
Google's algorithm is the intricate set of
rules and calculations that determines
the ranking of websites in search engine
results pages. One of the most well-
known algorithms is Google's PageRank,
which evaluates the importance of web
pages based on the number and quality
of links pointing to them. Another
example is the Panda algorithm,
designed to penalize low-quality or
duplicate content. These algorithms
continually evolve to provide users with
the most relevant and high-quality
search results possible.

3. • Google was founded in 1998 by Larry Page and
Sergey Brin at Stanford University.
• PageRank, the algorithm that powers Google
search, was introduced in 1996.
• Google's algorithm has evolved over the years
to prioritize relevant and high-quality content.
• The introduction of updates like Panda,
Penguin, and Hummingbird aimed to improve
search results.
• In recent years, machine learning and artificial
intelligence have played a significant role in
enhancing Google's search algorithm.
2
GOOGLE ALGORITHM
HISTORY

4. Wardiere Inc.
WHAT WAS
GOOGLE'S ORIGINAL
ALGORITHM?
1
• Google's original algorithm was called PageRank.
• PageRank was developed by Google's co-founders
Larry Page and Sergey Brin at Stanford University.
• It was designed to assess the importance of web pages
based on the number and quality of links pointing to
them.
• PageRank revolutionized search engines by providing
more relevant search results than existing algorithms.
• The algorithm helped Google quickly become the
dominant search engine in the early days of the
internet.

5. 2
HOW DOES SEARCH
WORK?
In brief, search works by using algorithms to scan and analyze
vast amounts of data to find relevant information based on
the keywords or phrases entered by a user. Search engines
like Google use web crawlers to gather information from
websites and index it, making it easier to retrieve when a
search is conducted. The search engine then ranks the results
based on various factors such as relevance, quality, and
popularity to present the most useful information to the user.

6. 7
GOOGLE ALGORITHM
FACTORS
1
Relevance
Google aims to deliver search results that
are most relevant to the user's query.
2
Quality Content
Websites with high-quality, informative
content tend to rank better in search
results.
3
Backlinks
The number and quality of backlinks
pointing to a website are important for its
search ranking.
4
Mobile-Friendliness
Google gives preference to websites that
are optimized for mobile devices.
5
Page Speed
Faster loading websites are favored by
Google as they provide a better user
experience.
6
*User Experience*
Factors like site navigation, readability,
and overall user experience play a role in
search rankings.

7. Introduced in 2011, Panda aims to
promote high-quality content by
penalizing sites with low-quality or
duplicate content. It also focuses
on user experience, rewarding
sites with engaging, original
content.
Launched in 2012, Penguin targets
websites that engage in black-hat
SEO practices like keyword stuffing,
cloaking, and buying links. It
ensures that websites with natural,
relevant backlinks rank higher in
search results.
Released in 2013, Hummingbird
focuses on understanding search
queries better and providing more
relevant search results. It
emphasizes natural language
processing and semantic search to
deliver more accurate results to
users' queries
5
GOOGLE PANDA* Google Penguin* Google Hummingbird*
MOST FAMOUS ALGORITHMS

8. LATEST GOOGLE ALGORITHMS
GPT-3 (Generative Pre-trained Transformer 3)
GPT-3 is a language processing model developed by
OpenAI that uses deep learning to generate human-
like text. It has 175 billion parameters, making it the
largest language model to date. GPT-3 can perform a
wide range of natural language processing tasks, such
as text generation, translation, and question-
answering, with impressive accuracy.
BERT
BERT, short for Bidirectional Encoder Representations
from Transformers, is a cutting-edge natural language
processing model developed by Google. Unlike
previous models that processed text in one direction
only, BERT is bidirectional, meaning it considers the
context of a word based on both the words that come
before and after it. This revolutionary approach allows
BERT to better understand the nuances of language
and improve performance on a wide range of natural
language processing tasks, such as question answering,
sentiment analysis, and language translation. Its
versatility and effectiveness have made BERT a pivotal
advancement in the field of artificial intelligence and

9. THANK
YOU
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