SEO Testing Platform Features
Imagine being able to submit every change to Google to see what would happen. A successful SEO campaign begins and ends with Market Brew's search engine models.
Imagine being able to submit every change to Google to see what would happen. A successful SEO campaign begins and ends with Market Brew's search engine models.
Successful SEO testing begins with:
Top tasks that have been generated for each Analysis Group / Target Landing Page combination. Click the number and you will see a detailed list, broken down by the type, category, and opportunity.
Tasks can be assigned to different accounts, and each task is assigned a set of points, which is determined by looking at the statistical gaps in the search engine model between the target landing page and each outperformer in that area of the model.
The technical data for every website in your Analysis Group can be accessed by visiting its Website Dashboard screen. Visit a specific page's Webpage Scoresheet screen by entering it into the search bar.
From here, website / webpage alerts, ordered by most critical to least critical, list the technical issues with that website. Every detail concerning every link or piece of content / semantic entity is displayed. Download data on everything imaginable.
Using Market Brew's powerful link scoring layer, use the Link Flow Distribution screen to find pages that need critical Link Flow and instantly correct issues like Link Flow Imbalance and Internal Link Loss.
Use the Link Flow Finder tool to automatically know where to strategically add Link Flow to certain pages for the highest impact.
Use Market Brew's powerful knowledge graph, along with a number of Natural Language Processing (NLP) technologies, to provide world-class named entity extraction, including entity detection, name resolution, and entity disambiguation.
Using semantic entity graph technology, and the Market Brew's powerful link scoring layer, a basket of entities are calculated for each page, as well as topic clusters and related entities. Discover exactly what Expertise Score your content is at, and how to improve it using the entity graph around it.
Using a keyword-based approach, and the Market Brew's powerful link scoring layer, a basket of keyword clusters are calculated for each page. See Associated Link Flow Share for each anchor text, and discover why the outperformer in the model for Market Focus is beating you.
Explore the Anchor Text Graph around your site, including the Associated Link Flow Share for every link, using Market Brew's powerful scoring layer.
Compare how your competitors' anchor text is set up, and understand more about how they are linking to content. See what the outperformer in this area of the model is doing.
The search engine model's Query Layer uses the powerful Lucene Query Parser to simulate the real-time interface of a search engine.
During each search, the model returns a Query Score Breakdown for each result. This breakdown displays how each result scored, relative to other results.
Market Brew’s automated discovery system uses this data to guide you to the exact types of algorithms that are the deciding factors in the target search engine environment (TSSE), shown on the Top Optimization screen.
In Market Brew, we call our search engine models "Analysis Groups". This setup wizard uses years of best practices to streamline the creation of a search engine model for any search engine result page (SERP).
This process uses a genetic algorithm called Particle Swarm Optimization to transform our Standard Model into a calibrated model for that SERP.
The Analysis Group is designed to build a representative model of outperformers in each area of the search engine model (the #1 ranking site in a SERP is usually not the best in all areas). This allows you to (optionally) compare how a target URL scores against each outperformer, what its biggest weaknesses are, and what that target URL can do to overcome the statistical gap in that area of the search engine model.
One of the huge advantages of using a search engine model to discover optimizations is that each implemented change can be quickly tested to see how the model reacts.
Because of this new predictive model approach, you can now test quicker than ever before. But you must put this to good use: transition your thinking to a more agile approach: “iterate, test, iterate, test”.
Making a narrow set of related changes and then re-crawling helps you isolate changes and test the potential positive/negative effects of those changes.
Investing in Market Brew technology is the best decision you will ever make. Every enterprise account gets
A dedicated solutions engineer that works with your SEO team to build your first predictive models.
Professional on-site training for your SEO team.
Consistent validation of your predictive models, every step of the way.
An easy to execute, actionable plan, based on objective and quantifiable data.