Is SEO Doomed as Search Engines Develop? - Thank You Blackhats for Causing the New SEO
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I personally want to thank each and every one of you geniuses for your great work. By doing the complete opposite of what you did, none of my clients has ever suffered any filter or penalty. The main reason why is that I know I am not smarter than an engineer at Google. I understand data mining, SEO, SEM, and one other very important thing; not a one of us would let someone come into our homes and rearrange things on a daily basis. So then why would anyone think that Google would allow others to come rearrange their home?
I also want to thank you for helping to destroy what was a great thing. Google's brand was built on the free results listings they returned due to their relevancy. There was no money involved in generating revenue for Google at the time, but the boys did know there was a veritable gold mine waiting to happen.
Thanks to the geniuses, where once all links counted in ranking a web page, now about the only worthwhile link in a natural link. Thanks to you geniuses, basic SEO to the backside code is virtually useless as most all backside code optimization is ignored except for the <title> tag. Thanks to the geniuses Google now has to take the time to fully investigate a web site before determining if the website should be included and this process is taking a few months to occur. Thanks to the geniuses, we must now be careful of how many pages of content we add to web sites and with what frequency.
Those of you who think Google is not using the Google Sitemaps beta to determine legitimate from illegitimate websites (and are merely trying to index the world wide web easier) should really take some time to think this through clearly.
As the geniuses were hard at work trying to cheat Google, engineers in the company have studied limerization, tokenization, filtration and stemming. They are using these math and english core values to determine Term Weight. The Term Weight formula TF*IDF helps the search engines determine topic of web pages.
In addition to these areas, Google is now using other data to determine which web pages to place near the top results. This data includes reading flow, grammar, spelling, Automatic Topic Categorization (which allows search engines to automatically classify & categorize web pages through text analysis), and supporting ontology's. In addition the search engines are looking more closely at user queries, time spent on pages (site stickiness), data from toolbars, and other visitor analytics such as click through rate, and traffic counts. To be honest, one thing websites need in order to attain front page results is traffic. Why would Google Yahoo or MSN recommend a website nobody visited?
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