Grayboxx was founded in 2005 to bring optimal relevancy to "local search" has spent over a year developing a methodology and collecting information that offers "implicit" recommendations or endorsements of local businesses.
Grayboxx has the unique advantage of Preference Scoring™. Our PreferenceScoring™ solution evaluates 'implicit' endorsements (essentially, people's expressions of approval for a business). When people buy things from a store or make reservations at a restaurant, they are speaking with their actions about what they like. With this model, we're able to show you businesses that are favored by your community. Any business, any community. This does for local search what PageRank did for web search.
Put simply, our recommendations come from other people in your neighborhood. When folks buy things from a store or make reservations at a restaurant, they are expressing their interest in local businesses. We add up and make sense out of these indications. Our PreferenceScoring™ approach provides recommendations in over 4,000 kinds of businesses.
We're able to show you the best of everything in your neighborhood, as evidenced by the very actions your neighbors have taken with local vendors (all data is evaluated in a strictly aggregated, non-personally identifiable basis). With this powerful approach, grayboxx provides millions of helpful rankings for everything from Arborists in Moscow, Idaho to Plumbers in Boston. No more guesswork. Grayboxx provides meaningful recommendations in 4,000 of the 5,000 standard yellow pages categories — everything from antique shops to violin stores and everything in between.