I've been doing a bit of competitor analysis for a client using OSE.
There are a group of about 4 websites (our clients website included) that all dominate the sector with none of the 4 clearly out in front (call this GROUP A).
Then there are another group of about 5 websites, which come lower in the SE's consistently than the top 4 (Call this GROUP B)
**I've been doing some analysis in OSE: **
ALL GROUP B Websites outrank all of GROUP A websites in the OSE Metrics (Including Trust Rank).
I did some analysis on the backlinks in Group A VS Group B
Group A - Generally a mixture of ok links from blog posts, sponsorship, and ok directories.
Group B - As A, but with fewer numbers of links from quality blogs PLUS A high level of spammy links ( .edu and .gov spam filled pages), very low quality, almost non legible blog posts on MFA sites (think Digital Point sellers).
From the above it is clear that the OSE metrics are out of whack with the real SE results. Clearly OSE has a few problems with working out what are spammy links and what are decent. Obviously google also has issues with working this out, so I am not surprised that OSE also does - but that doesn't solve the issue.
This is a general discussion - so I would just throw in a few thoughts on how OSE may possibly try are overcome some of these issues :
1/. % Trust Links vs Non trust Links:
Add in a metric to Trust Rank where the number of links close to trusted sites are also compared to the number of links not close to trusted sites. If you see a very high ratio of links from sites that are not close to trusted sites, it is a strong indicator of spammy links.
2/. Use seed "Non Trusted" sites to create a negative Trust Rank
Use something like a reverse of the "trusted sites" theory, but taking a load of very clearly spammy / link manipulative sites and work out in terms of links connections how far the site is away from these sites.
Thoughts???