You or someone you know in all likelihood owns a mobile smartphone (…like the I-Phone, Android or something similar) and accesses the Internet with it. These devices have grown by leaps and bounds in the last few years – projections are that one day, more people will access the Internet with a handheld device than laptops or traditional desktop machines.
Search engines like Google, Bing and Yahoo don’t give a hoot if you have a mobile compatible web site or not
John Mueller - @Paul If you have "smartphone" content (which we see as normal web-content, as it's generally a normal HTML page, just tweaked in layout for smaller displays) you can use the rel=canonical to point to your desktop version. This helps us to focus on the desktop version for web-search. When users visit that desktop version with a smartphone, you can redirect them to the mobile version. This works regardless of the URL structure, so you don't need to use subdomains / subdirectories for smartphone-mobile sites. Even better however is to use the same URLs and to show the appropriate version of the content without a redirect :).
That’s right – websites designed for mobile users do NOT receive any special treatment from the search engines. In other words, searches from a mobile smartphone are treated just like any other search from a regular computer.
If you take out your smartphone and do a search, you’ll notice that search engines do not rank mobile sites higher unless you add “mobile” or some other unique keyword to your phrase.
Let’s be clear though – having a site optimized for mobile users is absolutely important.
The big impact in terms of SEO and mobile smartphones is local search. Here’s where sites designed for mobile devices are treated differently than desktop sites (…notice, they treat them differently, not better).
Google and others essentially assume that a mobile search is local. In fact, statistics show that there is a 33% or higher chance you’re looking for something local when using your smartphone.
For example, if you type in “Best Buy” on your mobile device, it’s assumed you’re looking for the local Best Buy store in your town.
Search engine optimization (SEO) is the process of improving the visibility of a website or a web page in search engines
Friday, April 6, 2012
Saturday, March 10, 2012
Analytics Version 4.4 Released!
Analytics SEO Version 4.4 is finally here and has just been released!
Version 4.4 has been another feature rich update of the back of our recent 4.2 and 4.3 updates, which in case you missed out the full details are here.
A quick overview of the updates are as follows:
Editable Panels
This has been one of my favourite new features for a while, the edit panels functionality previously only available on the Dashboard has now been rolled out across all tabs.
Competitive Rankings
This has been one of the most requested features I can recall since working for Analytics SEO and its finally here! Competitive Rankings now allow you to benchmark your rankings against your competitors. This is highly recommended for pre-sales reports and pitching.
You will be able to visualise competitive rankings by keyword and shortly we will also make scoring available to benchmark performance across all monitored keywords.
Affiliate Scheme
Analytics SEO is also in the early stages of launching an affiliate scheme. This release sees the development work that is required to make this possible. We will be offering the best available commission rates in the market, so if you own a blog or want to recommend Analytics SEO to anyone now you can get paid!
Version 4.4 has been another feature rich update of the back of our recent 4.2 and 4.3 updates, which in case you missed out the full details are here.
A quick overview of the updates are as follows:
- Editable Panels
- Competitive Rankings
- Affiliate Scheme
- Enhanced Credit Card Handling
- Video Training Content
Editable Panels
This has been one of my favourite new features for a while, the edit panels functionality previously only available on the Dashboard has now been rolled out across all tabs.
Competitive Rankings
This has been one of the most requested features I can recall since working for Analytics SEO and its finally here! Competitive Rankings now allow you to benchmark your rankings against your competitors. This is highly recommended for pre-sales reports and pitching.
You will be able to visualise competitive rankings by keyword and shortly we will also make scoring available to benchmark performance across all monitored keywords.
Affiliate Scheme
Analytics SEO is also in the early stages of launching an affiliate scheme. This release sees the development work that is required to make this possible. We will be offering the best available commission rates in the market, so if you own a blog or want to recommend Analytics SEO to anyone now you can get paid!
Blogspot.com is redirecting to Blogspot.in
Now onwards Blogger blogs will redirect to country level TLD extension. Usually I read Google webmaster central blog, Google blog, Gmail blog etc to know about latest updates from Google. Today i.e. Jan 31st 2012, I observed that "Blogspot.com is automatically redirecting to Blogspot.in". As I live in india, it's redirecting to ".in". It might redirect to .co.uk, if I live in UK.
What exactly this redirection is?
Blogger.com has implemented TLD specific redirection for the blogs hosted on blogger.com network. Currently, this change has been applied to India, so that the person access blog from Indian IP will be redirect to Indian TLD of that blog.
Here question is that why need changes :----
1. Duplicate content issue is the 1st thing we notice in this case. However Google is stating that "rel=canonical" tag will be used across all country level extensions and their team is trying to make less negative impact on search results.
What exactly this redirection is?
Blogger.com has implemented TLD specific redirection for the blogs hosted on blogger.com network. Currently, this change has been applied to India, so that the person access blog from Indian IP will be redirect to Indian TLD of that blog.
Here question is that why need changes :----
1. Duplicate content issue is the 1st thing we notice in this case. However Google is stating that "rel=canonical" tag will be used across all country level extensions and their team is trying to make less negative impact on search results.
Thursday, December 1, 2011
nofollow
nofollow is a value that can be assigned to the rel attribute of an HTML a element to instruct some search engines that a hyperlink should not influence the link target's ranking in the search engine's index. It is intended to reduce the effectiveness of certain types of search engine spam, thereby improving the quality of search engine results and preventing spamdexing from occurring.
The nofollow value was originally suggested to stop comment spam in blogs. Believing that comment spam affected the entire blogging community, in early 2005 Google’s Matt Cutts and Blogger’s Jason Shellen proposed the value to address the problem.
rel="nofollow"
The nofollow value was originally suggested to stop comment spam in blogs. Believing that comment spam affected the entire blogging community, in early 2005 Google’s Matt Cutts and Blogger’s Jason Shellen proposed the value to address the problem.
rel="nofollow" Action | Yahoo! | Bing | Ask.com | |
Uses the link for ranking | No | No | No | ? |
Follows the link | No | Yes | ? | No |
Indexes the "linked to" page | No | Yes | No | No |
Shows the existence of the link | Only for a previously indexed page | Yes | Yes | Yes |
In results pages for anchor text | Only for a previously indexed page | Yes | Only for a previously indexed page | Yes |
SEO Technology
SEO technology comes in several different varieties including coding, tools and applications, widgets and files. Using SEO technology to code a website properly is important so that search engine robots can properly crawl and index a website.
Perhaps the SEO technology that search engine optimizers use most are tools and applications for doing their jobs.
SEO toolbars, Wordpress plug-ins and back link checkers are some common bits of SEO technology needed in order to serve the client. There are many toolbars that work with either Internet Explorer and Firefox browsers that will scan a page and deliver results such as keyword density, back link information and ranking data just to name a few.
SEO technology really starts with the keyword research. Apps such as Wordtracker, Keyword Discovery, Google AdWords Keyword Tool and at one time the Overture Tool (before it took a dive) have all been valuable SEO technology for uncovering keywords that people use in their online searches.SEO technology that have become popular in the last few years. Widgets, if coded and promoted properly can be used as link bait to attract many links to a client site.
SEO technology has come a long way since the early days of keyword stuffing the meta tags and throwing a bunch of nonsensical text at the bottom of a page
Perhaps the SEO technology that search engine optimizers use most are tools and applications for doing their jobs.
SEO toolbars, Wordpress plug-ins and back link checkers are some common bits of SEO technology needed in order to serve the client. There are many toolbars that work with either Internet Explorer and Firefox browsers that will scan a page and deliver results such as keyword density, back link information and ranking data just to name a few.
SEO technology really starts with the keyword research. Apps such as Wordtracker, Keyword Discovery, Google AdWords Keyword Tool and at one time the Overture Tool (before it took a dive) have all been valuable SEO technology for uncovering keywords that people use in their online searches.SEO technology that have become popular in the last few years. Widgets, if coded and promoted properly can be used as link bait to attract many links to a client site.
SEO technology has come a long way since the early days of keyword stuffing the meta tags and throwing a bunch of nonsensical text at the bottom of a page
Thursday, September 22, 2011
List of helpful SEO-SEM Tools
List of helpful SEO-SEM Tools
Crawling & Indexing ToolsKeyword Research ToolOn-Page Optimization Tools
Competitor Analysis ToolsEmail Marketing Tools
Hope the above list of tools will be helpful to all my freinds in the SEO industry. Cheers |
Thursday, September 8, 2011
Page Rank Algorithm
Google PageRank Algorithm
The most popular way for PageRank algorithm to rank websites. Algorithm developed and Sergey Brin and Larry Page of the 90s were published by Stanford University at the end. PageRank can be understood as a website's importance. Ranking algorithm is a function of factors on and off the page. - On page factors title, description, headings and plain text are, for example. PageRank and anchor text from off-page factors (incoming links) is. Neither the content nor the URL (such as off-page criteria, called factors) plays a role. In addition, there is no difference between internal and external links.
The citation (link) graph of the web is an important resource that has largely gone unused in existing web search engines. Google created maps containing as many as 518 million of these hyperlinks, a significant sample of the total. These maps allow rapid calculation of a web page's "PageRank", an objective measure of its citation importance that corresponds well with people's subjective idea of importance. Because of this correspondence, PageRank is an excellent way to prioritize the results of web keyword searches. For most popular subjects, a simple text matching search that is restricted to web page titles performs admirably when PageRank prioritizes the results (demo available at google.stanford.edu).
Assume page A has pages T1...Tn which point to it (i.e., are citations). The parameter d is a damping factor which can be set between 0 and 1. We usually set d to 0.85. There are more details about d in the next section. Also C(A) is defined as the number of links going out of page A. The PageRank of a page A is given as follows:
PR(A) = (1-d) + d (PR(T1)/C(T1) + ... + PR(Tn)/C(Tn))
Note that the PageRanks form a probability distribution over web pages, so the sum of all web pages' PageRanks will be one.
PageRank or PR(A) can be calculated using a simple iterative algorithm, and corresponds to the principal eigenvector of the normalized link matrix of the web.
f the PageRank value differences between PR1, PR2,.....PR10 were equal then that conclusion would hold up, but many people believe that the values between PR1 and PR10 (the maximum) are set on a logarithmic scale, and there is very good reason for believing it. Nobody outside Google knows for sure one way or the other, but the chances are high that the scale is logarithmic, or similar. If so, it means that it takes a lot more additional PageRank for a page to move up to the next PageRank level that it did to move up from the previous PageRank level. The result is that it reverses the previous conclusion, so that a link from a PR8 page that has lots of outbound links is worth more than a link from a PR4 page that has only a few outbound links.
The most popular way for PageRank algorithm to rank websites. Algorithm developed and Sergey Brin and Larry Page of the 90s were published by Stanford University at the end. PageRank can be understood as a website's importance. Ranking algorithm is a function of factors on and off the page. - On page factors title, description, headings and plain text are, for example. PageRank and anchor text from off-page factors (incoming links) is. Neither the content nor the URL (such as off-page criteria, called factors) plays a role. In addition, there is no difference between internal and external links.
The citation (link) graph of the web is an important resource that has largely gone unused in existing web search engines. Google created maps containing as many as 518 million of these hyperlinks, a significant sample of the total. These maps allow rapid calculation of a web page's "PageRank", an objective measure of its citation importance that corresponds well with people's subjective idea of importance. Because of this correspondence, PageRank is an excellent way to prioritize the results of web keyword searches. For most popular subjects, a simple text matching search that is restricted to web page titles performs admirably when PageRank prioritizes the results (demo available at google.stanford.edu).
PR(A) = (1-d) + d (PR(T1)/C(T1) + ... + PR(Tn)/C(Tn))
Note that the PageRanks form a probability distribution over web pages, so the sum of all web pages' PageRanks will be one.
PageRank or PR(A) can be calculated using a simple iterative algorithm, and corresponds to the principal eigenvector of the normalized link matrix of the web.
f the PageRank value differences between PR1, PR2,.....PR10 were equal then that conclusion would hold up, but many people believe that the values between PR1 and PR10 (the maximum) are set on a logarithmic scale, and there is very good reason for believing it. Nobody outside Google knows for sure one way or the other, but the chances are high that the scale is logarithmic, or similar. If so, it means that it takes a lot more additional PageRank for a page to move up to the next PageRank level that it did to move up from the previous PageRank level. The result is that it reverses the previous conclusion, so that a link from a PR8 page that has lots of outbound links is worth more than a link from a PR4 page that has only a few outbound links.
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