Top 5 B2B social media blogs (Google vs. Technorati vs ?)
Google recently made a useful change to its blog search algorithm. The change makes Google a better resource for finding more than just individual blog posts about a topic query, but an entire blog itself. A question I posed when sharing this post via Twitter and Facebook was whether this makes Technorati more irrelevant than it has become over the years. And do the results provide more value?
As a way to compare the differences between the two blog search engines, I decided to compare the results for the query "B2B social media." The screen shots below show the top 5 results for each search engine.
Google vs. Technorati
The two completely different sets of results reveal differences in the ranking algorithms. Technorati's is more clear-cut where the rankings are (for the most part) based upon Technorati Authority, which is a measure of inbound links over a short period of time.
Google's algorithm is based upon a site's relevance and authority, but it would appear from the image above that the top 5 achieve their ranking because they've done a good job with on-site optimization for "B2B social media." I read Social Media B2B every day and know they get linked to all the time because Jeff, Adam and company put out great, practical content every day. And B2B social media is its exclusive focus, so they deserve that #1 ranking. But the fourth blog on the list is a dubious inclusion.
A different, better approach?
The value I get out of each search result is marginal at best, as it helps me identify a couple of other blogs worth subscribing to, but I think we all would be better served by a third alternative -- Facebook.
This an example of why the rumored Facebook social search engine is so interesting. It's not a stretch to say that eventually nearly every page on the web will have a "Like" button. That combined with over 40% of Americans on Facebook provides the basis for a compelling alternative to Google or Technorati, where search results are based upon the number of "Likes."
Yes, the trick will be to make the algorithm less susceptible to spamming, but I'd get more value out of this type of search. Would you?