How The Market Brew Platform Works

The predictive platform significantly outperforms other enterprise SEO and ranking platforms that have to source their data from public search engines.

Their predictive search engine simulation lets you course correct changes more quickly, before you find out the hard way later...

Larry Cornett, Former Yahoo! Search Executive

Lightning Fast Data:

In Market Brew, once you have self-calibrated your search engine model to a target search engine environment, you can make a change and test the results within a FRACTION of the time of any other platform. Not using Market Brew to test your change? You'll have to wait 60 days (at best) for search engines to crawl every other site, score and update their search results (and your rankings) to find out.

Market Brew's predictive model let us test our changes with lightning speed.

Marius Kalytis, Founder of

Simulate Any Competitive Environment:

Market Brew can target ANY search engine environment with a high degree of accuracy. Simply choose which search engine environment to target, by entering in the keyword phrases and selecting the search engine environment you want to target (all Google versions are available, as well as other search engine environments).

Market Brew's Setup Wizard Allows You To Target Any Search Engine Environment.

Next, we take a look at what is currently ranking on that search engine environment RIGHT NOW. The goal here is to train the generic search engine model and curve-fit to reality. Select 3-5 subdomains as a sample set, and Market Brew begins to machine learn the algorithmic mechanisms that are affecting the search engine rankings in that environment.

Market Brew's Setup Wizard Automatically Determines The Competitive Environment To Analyze.

In a matter of minutes, millions of combinations of inputs into our generic search engine are evaluated using a genetic algorithm called "Particle Swarm Optimization", guaranteeing a high degree of correlation between your search engine model and your target search engine environment.

Market Brew's Self-Calibrated Search Engine Model.

Now with highly-correlated data, the predictive SEO platform reveals the inner workings of that target environment, including search engine ranking distances, what separates ranking #1 from ranking #2, and so on.

See Ranking Distances Using A Transparent Search Engine Model

Additionally, our predictive system simulates millions of alternative scenarios and optimizations. It finds the global maxima (most efficient path to increase traffic) for your targeted website, and delivers that to you in simple actions for your team to act on.

Each Simulation Tells You Exactly WHAT and HOW To Implement.

Each action has a specific focus (what things to fix) and one or more algorithmic screens to help you identify how that part of the search engine calculated this score, leading you to quickly implementing that action. And because you are working with a live model of your targeted search engine environment, you can make small changes on your site, and test those changes within hours (instead of waiting for months to get rankings feedback, like every other enterprise platform on the market today).

I've used them and have been very pleased with the results. Market Brew's data driven approach is very helpful especially in focusing on the biggest impact optimizations.

Dan Laufer, CEO of

We've spent a decade modeling search engine behavior so you don't have to guess anymore.

Take the next step, schedule a demo.