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Search Engine Optimization Algorithms - Radhika Relan





 IN THIS BLOG WE WILL DISCUSS THE ALGORITHMS lets quickly begin the concept.


1 PANDA


Launch date: February 24, 2011

• Hazards: Duplicate, plagiarized or thin content; user-generated spam; keyword stuffing

• How it works: 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. stuffing.

2 Penguin

• Launch date: April 24, 2012

Hazards: Spammy or irrelevant links: links with over-optimized anchor text

• How it works: 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.


3 Hummingbird

• Launch date: August 22, 2013

• Hazards: Keyword stuffing; low-quality content

• How it works: Hummingbird helps Google better interpret search queries and provide

results that match the searcher's intent (as opposed to the individual terms within the query). While

keywords continue to be important, Hummingbird makes it possible for a page to rank for a

query even if it doesn't contain the exact words the searcher entered.



4 Pigeon

Launch date: July 24, 2014 (US); December 22, 2014 (UK, Canada, Australia)

• Hazards: Poor on- and off-page SEO

• How it works: Pigeon affects those searches in which the user's location plays an important part. The update created closer ties between the local algorithm and the core algorithm: traditional SEO factors are now used to rank local results.



5 Mobile

• Launch date: April 21, 2015

• Hazards: Lack of a mobile version of the page; poor mobile usability

• How it works: Google's Mobile Update  ensures that mobile-friendly

pages rank at the top of mobile searches, while pages not optimized for mobile are filtered out

from the SERPs or seriously down-ranked.



6 RankBrain

• Launch date: October 26, 2015

• Hazards: Lack of query-specific relevance features; shallow content; poor UX

• How it works: RankBrain is part of Google's Hummingbird algorithm. It is a machine

learning system that helps Google under- stand the meaning behind queries, and serve

best-matching search results in response to those queries. Google calls RankBrain the

third most important ranking factor.


7 Possum

• Launch date: September 1, 2016

• Hazards: Tense competition in your target location

• How it works: The Possum update ensured that local results vary more depending on the

searcher's location: the closer you are to a business's address, the more likely you are to see it

among local results



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