SEO Evolution and Google Updations

History of Google Algorithm Updates

Google algorithms are a complex system used to retrieve records from its seek index and immediately supply the quality feasible consequences for a query. The search engine makes use of a combination of algorithms and numerous ranking indicators to deliver webpages ranked by relevance on its search engine consequences pages.

In its early years, Google only made a handful of updates to its algorithms. Now, Google makes thousands of changes every year. According to this google is started its strong updations in 2011. The main purpose of this updation is getting the correct result to the user as its best and accurate way or maintain the quality of search. It is the main and first updation of google.

1. Panda

Launch On: February 24, 2011

To avoid: Content Duplication, plagiarized or thin content; user-generated spam; keyword stuffing; Publishing a quality less content.

After this updation, more than 300 updations have occurred in it.

How it works:

Panda updation is assigned a so-called “quality score” to web pages; this score is then used as a ranking agent. Initially, Panda was a filter rather than part of Google’s ranking algorithm, but in January 2016, it was officially incorporated into the core algorithm. Panda rollouts have become more frequent, so both penalties and recoveries now happen faster.

Panda is mainly used to check for instances of external content duplication, use a plagiarism checker like Copy Paste.

Panda 4.0

Panda 4.0( may 19-20) adding the panda algorithm permanently into the main algorithm of Google and filtering all the data in it.

2. Penguin

Launched on: April 24, 2012

main agenda to avoid: 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. It is  the next main updation after a panda

How to adjust:

 Monitor your link profile’s growth and run regular audits with a backlink checker like SEO SpyGlass. In the tool’s Summary dashboard, you’ll find a progress graph for your link profile’s growth. Look out for any unusual spikes: those are reason enough to look into the backlinks you’ve unexpectedly gained.it is mainly used to prevent the link spamming

link selling:- paid line is known as link selling.

link exchange:- exchange links one to another.

link farming:- links formed by automatic mechanism or software.

link scheme:- any link is intended to manipulate a site's rank, Google will be used the search results considered against googles rules and guidelines.

comment spamming:- ongoing a comment the link is shared with it.

wiki spamming:- taken links from wiki

gust blogging:- publishing articles in another website.

3.Hummingbird

Launched on: August 22, 2013

main agenda to avoid: Keyword stuffing; low-quality content

How it works:

 Hummingbird helps Google better interpret search queries and provide results that match searcher 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. This is achieved with the help of natural language processing that relies on latent semantic indexing, co-occurring terms and synonyms.

How to adjust:

 Expand your keyword research and focus on concepts, not keywords. Carefully research related searches, synonyms, and co-occurring terms. Great sources of such ideas are Google Related Searches and Google Autocomplete. 

the semantic search result, it means that the detailed data will be provided in this search.

detailed result access

4.Pigeon

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

main agenda to avoid: Poor on- and off-page SEO

How it works:

 This update created a closer tie between the local algorithm and the core algorithm: traditional SEO factors are now used to rank local results. Also related to local ranking and local listing. The local data and others shared on the basis of its ranking.

Rankbrain: 

 RankBrain is an artificial intelligence training mechanism for the machines .this will learning algorithm that filters search results to help give users the best answer to their query.

Aiswarya Thampi