A Transparent
Search Engine Model

With a strongly correlated model, you can predict what will happen next.

Search engine models allow users to define, create, and deploy statistical replicas of any search engine environment.

Market Brew Podcast

The Search Engine Model

Market Brew users can predict ranking changes with each optimization they do.

Introduction to Search Engine Models

No More Black Box with Market Brew

Market Brew's SEO software allows users to define, create, and deploy search engine models 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.

HOW DOES IT WORK

How Does
Market Brew Work?

1

Calibrated Algorithms

Think of it as a search engine that can calibrate its own settings using machine learning to behave like any search engine you want.

Market Brew continuously introduces all kinds of algorithms as modern search engines continue to advance. For example, it introduced the Core Web Vitals algorithms before Google even announced their inclusion.

Users are able to see exactly when these algorithms start correlating in the search results.

2

Predict Rankings

Users can test their website changes in the model and can immediately predict how their actual ranking results will be affected, months before those changes show up in their rank trackers.

Why Market Brew?

There are some key technical innovations that enable Market Brew to accurately and efficiently predict search rankings for the major search engines:

1
Calibrated Models
2
Evergreen Googlebot Crawler
3
Transparent Search Engine

Calibrated Models

Market Brew includes the most advanced search engine algorithms used by the most advanced enterprise SEO professionals, that are accurately calibrated against whatever target search engine your team chooses.

When search engines adjust their algorithms, your Market Brew search engine models are too. Even track algorithm bias/weight settings across time.

By having your own search engine model, you can command it to do almost anything you need. On-demand re-crawl, re-calculate, and even re-calibrate whenever you want.

Market Brew's Radar Plot of Algorithmic Performance

Evergreen
Googlebot Crawler

Market Brew includes one of the most advanced web crawlers ever built. The first line of code was written in 2006, it has since pushed the boundaries of modern crawling techniques with a number of issued patents behind it.

It utilizes Chromium and the Blink rendering engine - allowing our crawlers to see exactly what the Chrome browser can see (and more). JavaScript rendering / modeling is no longer an issue. Prerender.io is no longer necessary.

The Market Brew crawler is a self-learning crawler. Because of this, it is lightning fast compared to traditional crawling tools: it is able to re-calculate a 10 million page site in a few hours.

Our patented technology exposes the key values and ratios that drive all search engine algorithms.

These algorithms have been adjusted so their bias/weight settings are similar to the target search engine environment that was selected.

Simulate any desktop or mobile device, or even specific geographic locations, user agents, and more.

See what the search results will look like when you make an optimization to your target page. Did you get closer to your competitor? By how much?

Market Brew Combined Search Listing screen.Market  Brew Query Score Breakdown.

Your search engine models use accurately modeled environments to calculate the statistical gaps in each part of the model between your target page and its competitor outperformers.

Every search engine environment can be a different mixture of algorithmic factors and weightings. What works in one environment may not work in another.

And because you can track these Boost Factor changes over time, your models give your SEO team insight into how the target search engine is changing over time.

It then runs millions of predictions that identify the highest ROI opportunities, and auto-generates a task list for your team. Tasks are sorted by the biggest effect on ranking position.

Whether the team is seasoned SEO professionals, or new to SEO, every part of the search engine model is easily accessible. Users can fix, test, and immediately verify what the SEO optimizations did to the search engine model.

Market Brew's Auto-Generated Task screen.

Track Search Engine Algorithmic Updates

Track Search Engine Algorithmic Updates
Users track and characterize algorithmic updates for any search engine by comparing bias/weight settings on each model.

One of the hardest parts of SEO today is understanding how algorithmic updates affect your specific search results.

Market Brew automatically detects when the models diverge from the target search engine environment.

When this happens, Market Brew's search engine models recalibrate, and because the search engine models store their bias / weight settings each time they recalibrate, users are able to compare the settings before vs. after a Google update to determine which algorithms are now more or less important.

Our Patented
"Search Engine Model" Approach

Task-Based System

The search engine model forms a basis for a real-time environment that can analyze ranking depth or distance, utilize statistical gap analysis to determine exactly which part of the model your target page is weak in, and even give you automatic optimization tasks based on your team's capabilities. This gives you a positive expected value on every optimization you make.

Fully Customizable

Is fully customizable, allowing each user to mimic ANY target search engine environment (TSEE), like the US version of Google. They can upload their own metrics like revenue, conversions, and more to make the simulations as locally accurate as possible.

Automatically Self-Calibrating

Is automatically self-calibrating. When the user first creates their search engine model, the algorithmic weights are run through a genetic program called "Particle Swarm Optimization". In it, each algorithmic weight becomes a particle in a swarm of other particles. This Particle Swarm Optimization process allows your search engine model to dynamically respond to the targeted search engine environment.

When Google changes, your search engine model changes.

Market Brew Correlation
TESTIMONIALS

What Leaders Think About Market Brew

For one client, within 3 weeks, we were able to get them from position 80 to position 1 on Google, and that honestly blew us all away.

Neural Digital

We saw a huge spike in traffic...highly recommend it, one of the best marketing investments I've made.

Founder of RentLingo and Former Head of Growth, Nextdoor

Everyone who's doing Enterprise SEO should look at Market Brew. I've really fallen in love with their adaptive model approach.

CEO of Intellifluence

I've used it for several years in client sites and in-house...couldn't give Market Brew a higher recommendation.

Sr. SEO Strategist

Market Brew is like if Google Search Engineers had built a platform to show us exactly what Google wants to see.

Sr. SEO Strategist