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Tuesday, 12 May 2009 07:07 |
1, 2, 3 - find bad neighbour and flee!
(The following is a guest post from Alex Chudnovsky from Majestic SEO)
The issue of bad neighbourhoods has been a frequent topic of discussions among SEOs for a very long time. It is widely considered that it is one of the ranking factors that can have substantial negative effect on your site. Google itself talks about bad neighbourhoods suggesting to avoid linking to them. More recently David posted about host level spam detection and how it can affect sites. The highest risk group is shared hosting that can have thousands of domains from different owners hosted on the same IP address: this makes it more likely that a heavily spammed website would be your neighbour, however even sites on dedicated IPs are not immune to this problem - the IP may have been used before by a known to search engines bad domain.
Intuitively it seems obvious that it is best to avoid risk of hosting your site in a place where bad domains may also be hosted, but how does one check for their presence? Traditionally reverse DNS tools were used for this purpose to show other domains hosted on the same IP. This approach has 2 serious drawbacks:
- Neighbouring domains are not prioritised by backlink counts so checking them all manually is time consuming
- Class-C subnet level is not covered
Now we'll look at how to use 3 free tools to check on your neighbours.
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Wednesday, 29 April 2009 10:10 |
Its all about the secondary links silly
Time and time again I see folks in the SEO world talking about getting links from social media websites. Many times this advice will include finding followed links and even lists of dofollow social media sites. This is quite strange and bewildering to me as the holy grail of link building in SM isnt getting a link from the actual site
. but getting the secondary links that follow viral content.
You see, one shouldnt be using the state of the links on the site as the measure
and such approaches are often even frowned upon by many in the biz as noted in this recent Sphinn thread. Regardless of the emotional reaction, the whole concept is flawed. I could give a rats ass if the links on a given site (including social and blogs) are followed because that was never the consideration in the first place.

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Wednesday, 08 April 2009 08:24 |
Stay away from bad neighbourhoods!
For starters, what is web spam and whats its function? In the patents were looking at today, they describe spam as websites constructed with random or targeted content and links in order to, to trick the analysis algorithms used by search engines into ranking the pages higher than they should (bit of an oxy moron play there). The end game of course being to monetize said traffic with varying forms of advertising
yada yada
we know the deal - And the fly in the ointment?
However, achieving this is complicated because it can be difficult to identify spam hosts without manually reviewing the content of each host and classifying it as a spam or non-spam host.
So whats a search engine to do? Welcome to the world of rare AIR (Adversarial Information Retrieval). Last time out CJ was walking us through some methods of Paid Link detection and in the past weve covered link spam, phrase based and temporal spam detection methods ( to name a few) this time were going to look at Host Level Spam Detection.

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Monday, 06 April 2009 00:11 |
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The other day I was thinking about what signals we consider when trying to understand search engines and how they rank pages. There have been more than a few folks that have taken a stab at the elusive over 200 ranking factors the last few years (not to mention local rankings); why not give it a go? For me, it is likely a utopian fantasy, a journey into supposition, more than it is any real insight
but lets have a go at it anyway.
Now let me start by saying I am not a fan, as many of you know, of making definitive statements about search algos as... well... we just don't know. We're all used to the catch phrases Google and Algorithm - but let's not go there. The main reason is that there are likely a multitude of algorithms that serve different purposes; so this isn't about any single algo.. Furthermore, I am not talking specifics such as Google per se, but more of an amalgam of the Big 3 and various approaches that may be employed by search engines in 2009 and beyond. OK? With me?
Let's give it a go
were here to have some fun right?

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Tuesday, 31 March 2009 23:04 |
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(...don't mind me, it's been a strange week)
I have generally stayed away from all the pretty hats that SEOs get to wear. While I do look smashing in them, it mucks up my hair, ya know? But lately, I am finding it harder. To me weve always been search manipulators to varying degrees. While we may truly encourage search engineers to have to dig deeper, or facilitate content ingestion, it cannot be doubted that SEOs are the thorn in the IR worlds side. Ok, that I can take.
Why? Because SEO could as easily stand for Search Engine Opportunist as anything else. That is until now
more and more I am seeing websites that are hacked for a variety of SEO purposes including link building and SERP destruction. It is one thing when people take advantage of an algorithm and quite another when it poisons honest peoples best intentions.
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