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2. Introduction
• In the vast digital landscape of the internet, search engines
serve as the gateway to information, knowledge, and
entertainment.
• Google algorithms are the secret sauce that powers the
search engine, making it more than just a mere tool for
finding websites.
• As the internet and user behavior have evolved, so too have
Google's algorithms.
3. What are Google Algorithms?
Google Algorithms are
• Sophisticated sets of rules
• Calculations
• machine learning models
Purpose
• most relevant
• high-quality
• authoritative search results
The primary goals of Google
algorithms
• Relevance
• Quality Content
• Authority
• User Experience
• Freshness
Google uses various algorithms to process search queries and deliver relevant results.
4. Evolution of Google Algorithms
Key milestones
• From 1998 – 2010 significant evolution happened
• Introduced numerous updates and algorithm changes
• To enhance the quality search results
2011 2013 2018
2015
2012 2019
2018
2015
Panda
Penguin
Mobile-Friendly
Update
RankBrain
Mobile-First
Indexing
Medic
BERT
Hummingbird
5. Google's Core Algorithms
Main Algorithms
⚬ PageRank: focused on evaluating the authority of web pages
⚬ Panda: Addressing content quality and thin content issues.
⚬ Penguin: Dealing with link spam and manipulative link practices.
⚬ Hummingbird: Understanding user intent and semantic search.
6. Google Core Algorithms
⚬ RankBrain: Utilizing machine learning for better understanding
ambiguous queries.
⚬ Mobile-First Indexing: prioritizes the mobile version of
websites for indexing and ranking
⚬ BERT (Bidirectional Encoder Representations from
Transformers): Understanding the context of words in search
queries.
⚬ Core Updates: Frequently releases core updates, major
algorithm updates that aim to enhance search quality and
relevance
7. Understanding Search Ranking
Factors
Key Ranking Factors
⚬ Content Relevance and Quality
⚬ Keywords
⚬ Backlinks (Inbound Links)
⚬ Website Authority and Trust
⚬ User Experience (UX)
⚬ Page Structure and Formatting
⚬ Social Signals
⚬ Domain Age and History
⚬ Local SEO Factors
⚬ Search Intent and Click-Through Rate (CTR)
8. Impact of Google Algorithms
on SEO
⚬ Ranking Fluctuations
⚬ Content Quality
⚬ User Experience (UX)
⚬ Mobile-First Indexing
⚬ Backlink Quality
⚬ E-A-T (Expertise, Authoritativeness, Trustworthiness)
⚬ Semantic Search
⚬ Local SEO
⚬ Penalties for Black Hat SEO
⚬ Continuous Adaptation