That site was launch. an ex-Googler, but if I did the same th you can be certain that the only way Google would highlight it publicly would be as a “type of spam. The issue with broadly measur user experience is that I am still go to visit Yahoo! Sports repeatly even if my experience on Yahoo! Downloads is pretty crappy. A site which is a market leader in one niche can take those signals to launch a “me too” service in other parallel markets & quickly dominate the market. Potential Brand Signals When attempt to debunk the concept of “brand bias” some people claim that it would be ridiculous for Google to have a list of brands that get an across-the-board boost. Of course that debunk is debunk a straw man that was never stat publicly.

Outside of the irrelevant debunk

However, some of Google’s old rater documents *did* have certain sites whitelist & Google’s Scott Huffman once wrote the follow: At a [search] quality level, we have someth similar. On a continuous basis in every one of our data centers. A large set of queries are be run in the background and we’re look. At the results, look. Up our evaluations of them and mak sure. That all of our quality metrics are within tolerance. These are queries that we have us as ongo tests, sort of a sample of queries that we have scor results for; our Guatemala Phone Number List evaluators have given scores. To them. So we’re constantly runn these across dozens of locales. Both broad query sets and navigational query sets, like “San Francisco bike shop” to the more mundane, like: Here’s every U.S. state and they have a home page and we better get that home page in the top results, and if we don’t … then literally somebody’s pager goes off.

Outside of some fraternal Google properties

The algorithm isn’t hardcod to rank sites x & y at. But if some sites don’t rank for certain queries it does cause an alert. To be sent out Google has a wide host of quality-bas. Metrics they. Vould look at and analyze when determin. if someth gets a brand boost gets ignor, or gets hit an. Algorithm like Panda. A while back we wrote a post on potential brand signals, but a short list of examples would be. Classical relevancy signals domain name website age anchor text link diversity keyword co-citation inclusion in trust. Databases Search behavior BRLists keyword search volume trends CTR of users on search results (includ how users respond to changes in rank) URL-bas searches & other brand.