With a strongly correlated model, you can predict what will happen next.
Market Brew search engine modeling technology allows users to define, create, and deploy statistical replicas of any search engine environment. It does this by starting with a "generic" search engine model, complete with all the modern families of algorithms, representing everything from on-page to off-page ranking factors. Each part of the search engine model's biases/weights are then finely tuned by an artificial intelligence process called Particle Swarm Optimization.
At the conclusion of this A.I. process, the "generic" search engine model has been transformed into a very useful and highly calibrated replica of the real thing.
Users can then deploy their changes on the search engine models in order to predict how the target search engine environment (TSEE) will react when those changes are introduced. As a result, users can also copy these biases/weights from their production search engine model to various testing search engine models, in order to conduct A/B testing prior to the production deployment of those changes.
I think what they're doing is really smart.
Steve Hoffman, Angel Investor & Captain of Founders Space, Inc. Magazine's Top 10 Incubators List
This technology is gold. Of all of the technologies in the SEO sector, Market Brew is the only one that I consider the 'right' approach.
Bryon Sheffield, Senior Director at FICO
Market Brew was selected unanimously as the best startup by the panel of judges. Market Brew's usage of big data with analytics to deliver search metrics to CMOs was very impressive.
Tom Plunkett, Lead Author: Oracle Big Data Handbook, on seeing Market Brew as one of the top big data companies out of the Silicon Valley
There are some key technical innovations that enable Market Brew to accurately and efficiently predict search rankings for the major search engines: