Yesterday Virante’s CTO Russ Jones (Twitter: @rjonesx) spoke at PubCon in Las Vegas on the topic “Low Risk, High Reward Link Development.” Virante Director of Customer Relations Jacob Bobhall (Twitter: @jakebohall) live tweeted the talk. The following is an aggregation of his tweets (with hashtags & a few other references removed):
- SEO Misconception: paid links are always more risky than non-paid methods
- Acquiring links to manipulate results is against google’s TOS… not distinguished because you did or did not pay for it
- mentioned free SEO tools by
@virante – here is a link – http://virante.com/seo-tools
- Every link has to have a justifiable reason to exist… other than building rankings
- Here is a way to get citation links http://bit.ly/vQBJtT (replace keyword with the one you are targeting)
- Get content attribution links: Incorporated a copy/paste snippet of code with your viral infographic. seed it.
- post on YouMoz references referral-based link development to encourage caching – http://www.seomoz.org/ugc/set-it-and-forget-it-seo-chasing-the-elusive-passive-seo-dream
@rjonesx recommends @knowemand @zemanta for clean link dev techniques. @virante recently launched the LDA Content analyzer.virante.com/seo-tools/lda-…
- talking about scaling, quality, and math… how do agencies get links in 2012 and beyond
- measure the mathematical value of potential links, the statistical requirements of ranking, and use mitigation techniques
@rjonesx showing off one of Virante’s formulas to determine the mathematical value of a link.
- keep number of root domains for any specific keyword well below 20% of overall inbound links
- I hate to mention them because they are a competitor.. but they have awesome tools.. re: ontolo
- use predictive analysis to determine potential of getting a link.. shopping cart buttons? known link networks? adsense?
- People like selling links to girls.. not guys. Use a pseudonym!
- Hire a statistician, give them the data, and have them figure out they why/how.. if you try to do it, you will be biased