Showing posts from 2015

Bing it on! Comparing Bing Snapshot with Google Knowledge Graph

When we check the search engine market share, Google clearly dominates the market. At a global level, Google is expected to enjoy around 58%, while the second player is China’s Baidu with around 29% market share. Bing takes the third spot with close to 8% share. Considering Baidu is predominantly focused on Chinese market; Bing could be considered the second most preferred search engine at a worldwide level. If we consider the US market, Google enjoys around 68% share and Bing enjoys close to 19% share.
We have been discussing about Google algorithm updates in the last few blog posts. A natural question that will arise is does Bing  or other search engines also follow a similar algorithm update exercise and  technology ? In this post, let’s try to understand briefly about these questions from Bing’s point of view!
Bing was launched in 2009 as a successor of Microsoft Live Search. While still not a great contender to Google, Bing offers most of the features Google offer if not more. Bi…

Google Hummingbird update and the opening up of entity search

Unlike Penguin and Panda updates that we discussed in the previous posts, Google hummingbird is an update to the search platform itself. It was released in September 2013. Hummingbird is considered to be first of its type update since 2000’s. In essence, hummingbird tries to add intelligence to the whole search phrase by considering the meaning of the phrase. If PageRank was the buzzword in 2000’s hummingbird and entity search is the buzzword today. In my opinion, this was not an overnight change, but an experiment and improve approach starting with the introduction of Knowledge Graph.

Before we dive deep into Hummingbird, let’s focus very briefly on two associated concepts for this blog post.
Google PageRank If you are in the search industry for at least some time, you know this the ABC of how Google works. PageRank was and may still be the holy grail of how Google search engine works. Having said that, various studies have indicated PageRank is just one of the over two hundred compon…

Google Knowledge Graph – Gaining knowledge without visiting web pages

We have been discussing about various Google algorithm updates. As you might have guessed, next in the line is Google Hummingbird update. But before diving into Hummingbird, I thought of covering Knowledge Graph in this post since that’s the foundation stone. In a later post, we will dive deeper into Hummingbird and the whole new world of Semantic Search.
In the world of PageRank, we have been dealing with unstructured data; i.e search engines were looking for keywords independently and trying to gauge the relevancy of a web page compared to a keyword. We are presently moving to a world of structured data; and thus the world of semantic search. Semantic search tries to gauge the meaning of search queries with the help of microdataschemas, or RDFs (Resource Definition Frameworks) and more. Google Started to move in this direction with the introduction of Knowledge Graph in 2012. From a layman’s point of view, Google started showing facts in addition to the usual search results for key…

A note on Google Pigeon algorithms

Now that we have understood a bit about local SEO, let’s continue our discussion on Google algorithm updates. Today we will look into Google Pigeon update. Google Pigeon  is the youngest component of the Google algorithm updates. The first Pigeon update was rolled out in July 2014. While Panda updates focus on quality of content, and Penguin updates on link building practices; Pigeon update specifically focused on local search.

In essence, the pigeon updates assign more weightage towards locality over authority. Also it took care of some concerns SEOs had in the case of local search like – Google + page given undue importance, removal of results from  local  search directories like  Yelp. Also it is expected to be having an affect only on Google US search queries. Since Pigeon update is comparatively new and only affect local search part, it’s still in the nascent stage to really understand the affect of this update. However it has been testified that, the pigeon update  affected few s…

Book Review : Why I failed by Shweta Punj

Why I failed - Lessons from Leaders by Shweta Punj attracted my attention since most of the books on business/self-help talks about success or how to succeed. This book is a collection of failure stories by well know personalities. I started readin it with an expectation to get a different perspective; but to be honest it disappointed me.

Most of the failure stories are told at a very high level and fails to describe the details. I am sure most the readers wanted that extra-piece of narrative on what happened, how it happened, its consecunces and how leaders overcame it. Sometimes I felt the book is just another one talking about success and how to succeed :) The only piece of thought I could take out of the book was - everyone including the leaders that we adore goes to phases of failure.

The book talks about 16 stories of leaders from various domains. The ones I felt inspiring were Sabyasachi Mukherjee and Sminu Jindal. The least digestable ones were like the ones of Abhinav Bindra …

Understanding Google Panda algorithm updates

In the last blog post, we discussed about Google Penguin updates. Today, let’s try to understand Google Panda update. The first release of Google Panda was in February 2011. While penguin updates went after back links, the main purpose of panda updates are to watch the quality of website content.I believe by far the biggest affect in search results were made by Panda updates. Panda updates fights scraper sites and content farms. A scraper essentially copies content from various websites using web scraping. Web scraping can be done by simple manual copy and paste or to the extend of using sophisticated web scraping software. On the other hand, content farms are websites with large volume of low quality content often copied from other web sites or being copied in multiple pages of the same webs site. Content Farms usually spend efforts to understand popular search keywords and spin out content based on those phrases.Thus Panda update was also called Farmer Update :)
Unlike Penguin update…

Understanding Google Penguin updates

Let's talks about various Google search algorithms in the next few posts.
The main Google algorithm updates that we often hear about are Hummingbird, Panda and Penguin updates. Other components include Pigeon and Knowledge Graph. It’s interesting to note that most of these names are not coined by Google; but by various industry sources in the SEO world. Also, the above mentioned names are the ones which are relevant today. If you are a professional in this space for long, you would have heard updates starting from Google Dance to Fritz to Caffeine and more. Moz provides a good history timeline of Google algorithm changes along with associated key news articles (Google Algorithm Change History by Moz). In the next set of blog posts, I will try to explain the different components of Google Search algorithm updates and how they may be relevant to your website.
What are Google Penguin updates? Let’s start with Penguin update since that had a recent update. When Penguin update was first l…

Understanding Local SEO

As I mentioned in the last post, I will continue to write about digital marketing topics for some more time :) In this blog post, let's try to understand about Local SEO, what it is and how to do it?
Local SEO deals with search results within a defined locality or geographic location. This can be considered a subset of overall SEO efforts focusing on showcasing your web details in SERPs relevant to location based search keywords.  Google search algorithm has evolved to streamline and showcase search results based on locality, intend of search and so on. Let's take an example - 'Dominos Cochin'

A search for Dominos Pizzas in Cochin provides search results as show above. Two components are of interest to us. Along with the regular 10 search results, it shows a map with pins pointing to the location of Dominos stores in Cochin, Kerala, India in the right top end. On the left we can see Google Plus pages pointing to Dominos stores pages. This is populated from Google + L…