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Originally Posted by Bat_Man
Very informative post....but I need some elaboration on page getting same ranking have high and low PR-it hacked up my whole life idea.........thank you anyway for the post......
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PageRank is one single algorithm that used to be what made up most of Google's ranking algorithm.
http://en.wikipedia.org/wiki/PageRank
That's PageRank. The definition hasn't changed since Google was born. If you can remember Altavista before Google, it indexed based on keyword density alone. There was no weight given to backlinks. Google revolutionized search by factoring in backlinks. Essentially, each page has a global rank which is a number from 1 to the total number of pages indexed. What people usually refer to as PR is a number from 1 - 10 that tells you where the pages rank falls on a logarithmic scale (A PR2 is twice as good as a PR1, a PR3, is twice as good as a PR2, etc).
Now in the early days PR and keyword density were all that mattered. It was so easy to manipulate that I could spend $30 to catch an expiring PR7 domain about ceramic clowns, put gibberish seeded with porn keywords on thousands of pages and turn it into $10,000 in a month without doing anything else. If you wanted to outrank a site for a keyword, you could buy any domain with a higher PR than the #1 and match the keyword density. It would work. Every time.
Now obviously the modern ranking algorithm is much more advanced and the original PR concept counts so little that it's statistically insignificant. It basically means nothing. For whatever reason, it's still calculated you can still look it up. Because of this people tend to get the impression that either it's still a ranking factor, or it reflects a more modernized metric. This is not true.
There is no single metric revealed by Google that could be considered the modern equivalent of visible PageRank, but a few third parties offer their own metrics that are actually very useful. These companies basically crawl the web just like Google, gathering and calculating metrics as closely as they can to the actual Google algorithm. Instead of creating a search engine, however, they use the data to build a database of SEO metrics that are actually useful to us.
Here's an example:
http://www.majesticseo.com/reports/s...exDataSource=F