eSource Agents - 2007 Top 100 Individual Real Estate Agents Ranked by Web Visibility

View the 2007 List by Clicking Here!

We selected 80 major markets in the US. Markets were selected based on market size (population) and search volumes. We used top US cities based on population rank (See cities) Also we chose cities appearing in Google Trends for the search terms "Real Estate" and "Homes".

Search Phrase

We used a broad based search phrase {city name} real estate where {city name} was replaced by the targeted city name. The search phrase is the most commonly used broad based term related to real estate searches. The search is performed using Google's Ad testing server so that searches are performed within the geographical region defined by the search phrase. Where the results returned were outside of the area we added the state name after the city name to narrow the search. Click here for an example of Sacramento Real Estate

Sites - Search Engine results

The top 6 search engine result pages (SERPS) are included in the study. We publish only the domain. We chose the top 6 because they generally appear above the fold. {See eye trace studies}

ONLY Individual Realtors and small teams were included.
We included 480 unique results (websites) in this study. For individual Realtor websites, each was categorized according to the web developer that created the site (If the web development company specializes in real estate then that company is named, if not we categorize it as a custom site. Custom meaning web pages developed by professional web developers that do not specialize in real estate websites or by individuals/amateur web developers) Other sites were categorized based on the type of site. Categories included Online Newspapers & Classifieds (Craigslist), National Portals like Realestate.yahoo.com, homegain.com and realtor.com.

OTHER Criteria
Our final weghted index is based on a number of factors such as population and search volume, boomtown index from Inc. Magazine, SEO Score, Ranking on Google, The age of the website, total number of backlins reported by Google and Alexa, and several other factors. Each factor was given a weight and all factors were combined to give a final score between 0 and 1, 1 being the highest possible index.