But not to fear, Google is looking to help us surface high-value information before we even ask for it. They are building huge data warehouses based on what people are searching for, tweeting about and buying. Their goal is simple, to recognize patterns to increase information relevance.
Why wait for Google when there are several solutions available today for surfacing high value information based on patterns. Baynote and Loomia are a few that come to mind. These solutions are not mining the entire web but they do a great job at understanding visitor behavior on your site(s).
Using their own algorithms they surface recommendations and related information based on usage patterns such as as clicks, time spent on page and even hover activity of the mouse pointer. Baynote for example continues to learn from over 20 patterns to predict what a visitors intent is and make recommendations to drive deeper levels of engagement.
So how does social media fit into this?
These solutions treat every object regardless of type as a piece of information. This allows brands to move beyond simply serving content recommendations ala Amazon.com to targeting earned media based on users intent.
Aggregation and Content Curation
First you must aggregate mentions and put some rules in place to ensure they appear in proper context. A good practice for aggregating these mentions is to store them in your CMS and use the work-flow tools for the curation process. In the post "Provide context when aggregating brand conversations" I describe in more detail the value of adding more context to aggregated mentions.
Another reason for aggregating mentions into your own CMS is to ensure continuity of the site experience in the likely event a third-part API like Twitter goes down. To see the status of the most popular API's check out API-Status.com.
Surfacing social connections
Loomia has built a nice Facebook connect wi
dget showing who in your social graph has viewed a piece of information. The Wall street journal has done this implementation, if no one in your network has read it you will see a list of "everyone". A twitter integration would be a nice option.Once these are placed on the site you will be able to rely on the reporting interfaces from your analytic solutions to understand which pieces of earned media are driving the most value.
