I've been talking a lot recently, both publicly and privately, about the effectiveness of ranking parasites, and how generally easy it is to do. I often get people asking me what parasites they should be picking, and it got me thinking if we could test on our own to see which parasites Google inherently trusts the most. A lot of people just look at the parasites that show up the most in Google, but this can sometimes tell an incomplete picture. There might be certain parasites that Google trusts a lot because they are underused. So I am going to test this for myself to see what parasites Google likes the most and what parasites Google likes the least. To do this we are going to be doing several different things: The first thing I am going to be doing is I am going to be identifying all of the parasites I want to check. The criteria I am using for parasites are as follows: There is no moderation for new accounts or content. There is a way to fairly easily put an affiliate link or ad on the page. This is a big site that likely has some trust with Google. Following this basic guideline I have compiled a basic list of parasites: Since this list might be incomplete, over this weekend I will be running an analysis across over 2 million different SERPs to see what the most commonly ranking domains are. I'll then be applying the above criteria to any other common domain names that script finds to see if there are other parasites I missed. Additionally I'll keep an eye out here if anyone reading this has any suggestions for parasites that I might have missed. Once that list is compiled, the real experiment will start. Each parasite will be built out and ranked for the same dummy keyword, and we will be able to follow the progress for each keyword live. In order to make the process as scientific as possible I am going to try to make sure there are as few external variables as possible. So I will be placing the following controls on the experiment: I will be picking a dummy word with virtually zero competition so that we will be able to see only these parasites competing with each other. Seeing how well these parasites do compared to other established sites might be the subject of a different case study, but I want to see exclusively how each parasite does compared to each other for this experiment. Since it will be a dummy keyword, each account will have the username or name be just the dummy keyword so that no page has an unfair advantage because of relevance (for instance if the keyword was "dog snuggies" some properties might not have that username available). I will write out a dummy article and a dummy description and heavily spin it. Each parasite that would require an article will get the dummy article and each parasite that will require a description will get a description. For this example I am going to do spun content all from the same seed article - I don't want one parasite to rank better because one seed article was better liked by Google than another. I was considering just having each one have the same duplicate content, but I'm worried that will lead to Google handling this a little differently. If people disagree on this let me know! At first I will send no links at all and we will follow the progress. Then after the rankings have stabilized I will report the results and then a small number of links will be built to each page. My hope is that because of the lack of competitiveness, we will see a lot of sites in the top 10/20 without any links which should give us a good idea about which parasites Google trusts the most. From there we can then see how Google responds when each one has links pointed to it. At the end of this we will get to see how each parasite performs and ranks. From there we should have a good list of what parasites Google likes the best when all other factors are the same. We can then also compare which parasites did that best in the case study versus which parasites show up the most in Google, and from there we can find which parasites are the most untapped (meaning they rank really well but people rarely try to rank them). To make sure that there is no interference I won't be sharing the keyword during the case study, but I will be posting rank tracking graphs so we can all track together which parasite is performing the best.