Tool searches for available domain names.
VeriSign has released a new beta tool called DomainFinder to help people find available domain names.
On the surface the tool is just a basic domain name generator: enter a keyword and it shows you available domains you might want to register.
But it’s integrated into VeriSign’s DomainScore system, so domains that receive NXD traffic are denoted with a special icon. Hovering over it shows you the 7, 30, and 60 day DomainScore.
I know a lot of people debate the value of DomainScore compared to the actual traffic domains receive. But as DomainScore is improved I think the combination of these tools could be helpful. After all, VeriSign is the company best positioned to know which unregistered domains get traffic.
Gnanes says
They’ll need to omit out the TMs I found in there.
Francois says
My DomainScore.com is having a second life thanks to Verisign.
up.biz says
I think http://www.nametumbler.com/ is better tool for domain name suggestions by whypark.com
Steve Jones says
Nice, Francois! I forgot you had that.
Verisign’s DomainScore system needs a lot of work based on what I’ve seen. If it’s a 1-10 scale, one would think something with a score in the 8-10 range would always have decent traffic and that doesn’t seem to be the case.
Michaela says
Thank you for the post and the comments. I’m with Verisign, and I wanted to follow up on some points. On DomainScore, it’s important to recognize that this score is based on global DNS traffic, in this case traffic that generates NXD responses because the domain is not yet registered. The DNS traffic does not 1 for 1 reflect actual human generated web traffic. We have algorithms that distinguishes machine generated traffic from botnets, spiders and other non-humans, and we are constantly refining those algorithms to create the most accurate score possible. Feedback provided to us has shown that by combining the traffic score with other directional type data like search engine keyword ranking leads to the best results. But, if you have examples of traffic scores that did not align with what you expected, if you could provide us some examples we can give to our data scientists for followup. Inputs are very helpful to the algorithms.