Online Reputation Management

Online Reputation management is the practice of monitoring the reputation of an individual or brand, addressing contents which are damaging to it, and using customer feedback solutions to get feedback or early warning signals to reputation problems. Most of online reputation management is focused on pushing down negative search results. Online Reputation management may attempt to bridge the gap between how a company perceives itself and how others view it.

Online Reputation Management (ORM) deals with everything about your company’s brand in the online community. This community includes the entire web – search engines, forums, blogs, news sites, social networking sites, etc…

Online Reputation Management is first being mindful of your company’s online brand then building on that brand in the search engines (chances are this is where you are sought for the most) through social media and other websites that produce and disseminate content.

ORM & SEO

ORM is important and SEO is a key part of most ORM campaigns. Online Reputation Management is even more basic in its definition, but broader in scope of what it entails. Online Reputation Management is exactly what the phrase suggests, managing your online reputation. Looking closer at some of what could have an online reputation is where this becomes difficult. Basically anyone, anything, or any company has an online reputation. The obvious ones are: people, companies, and brands.

Few Points to be considered for ORM

  • URL length top level domain
  • keyword density in body text
  • keyword proximity
  • keyword in domain name
  • individual keyword density
  • file size
  • hyphens in URL
  • applied semantics
  • freshness of pages
  • less than 100 links out
  • keyword font size
  • amount of content change
  • keywords in header
  • all internal links valid
  • freshness of links
  • keyword in in title tag
  • page theming Keyword in URL
  • frequency of updates
  • keyword in description meta tag
  • site size
  • keyword stemming, LSI