Marketbrew

The platform offers transparent data and actionable insights to improve organic search traffic and revenue. It helps brands and marketing experts understand their search engine ranking position and how to improve it.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Businesses often struggle to accurately predict the impact of SEO changes on their search engine rankings due to the complex and constantly evolving nature of search engine algorithms. Traditional SEO methods rely on lagging indicators and industry best practices, making it difficult to proactively optimize websites for future algorithmic updates. This uncertainty leads to inefficient resource allocation and missed opportunities to improve organic search visibility.

Solution

Market Brew offers an AI-powered SEO software platform that models search engine behavior, enabling users to forecast ranking changes before they occur. The platform utilizes calibrated search engine models that mimic the algorithms and ranking factors of various search engines. By testing website changes within these models, users can predict the impact on their search engine rankings, allowing them to prioritize optimizations and achieve sustainable growth. The software leverages machine learning and genetic algorithms to continuously update and refine its models, ensuring accuracy and adaptability to algorithmic changes.

Target Audience

The platform is designed for SEO teams, marketing professionals, and business owners who want to optimize their websites for search engines and improve their organic search traffic and revenue.

Features

Calibrated search engine models that mimic the algorithms and ranking factors of any search engine
AI-powered forecasting to predict ranking changes before they occur
A/B testing capabilities to evaluate the impact of SEO changes
Task-by-comparison lists that compare a landing page with competitor landing pages for each algorithm
Technical dashboards that display website data, including link scorecards and web page scorecards
Link flow distribution tools to correct link flow imbalance and internal link loss
Entity modeling to understand how search engines see an entity
Topic cluster modeling to form part of the broader semantic algorithm arc
Keyword modeling using advanced content analysis and a link scoring layer
Embeddings/SGE modeling to model the latest modern search engine algorithms
Query scores using the Lucene Query Parser to simulate the real-time interface of a search engine