How to build a Negative SEO Monitoring system

Since negative SEO by creating certain link profiles became more and more popular during the last years, it is important to have a possibility to monitor day to day changes in your linkprofile. Commercial providers of link data do share day to day insights, but without any analyzing options. Getting a warning in the updated Google Webmaster Tools is often too late, so I started thinking about a solution. The system needs to be scalable, so I can use it for tens of websites at once and I want to get e-mail notifications when there is something suspicious happening.


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Penguin 2.0 in Europe: what happened so far?

It has been a week since the first signs of a major update were spreading across the world wide web. Google officially stated that they rolled out the next generation Penguin webspam algorithm during the afternoon of May 22nd. Since then lots of weblogs have written about the influence of this updated version of the linkspam filter SEOs know as Penguin. As mentioned by Matt Cutts, the influence and intensity of changes will differ per language, or in other words, languages with more spam will see more impact.

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Detecting suspicious / unnatural link profiles – Part 1

Since Google publicly made some statements about the upcoming algorithm / filter updates, lot of SEOs and linkbuilders are concerned about the quality of their link profiles. Since Penguin is part of the Google algorithm, the quality of your incoming links is worth monitoring. In the past two years websites have suffered from either manual penalties or algorithmic influences which in both cases will harm your rankings. I don’t say spamming thousands of links with exact keyword anchor texts doesn’t work anymore, but Google became pretty good (compared to the years before 2012) in detecting unnatural activities based on a website’s link graph. Besides huge numbers of exact matching anchor texts, which are really easy to detect by the way, Google started looking to the quality of links. Article marketing websites, bookmarking websites and blog comments where use on a massive scale to create complete link networks for the purpose of flowing PageRank to specific money generating websites.

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