Market Brew - AI Visibility Isn’t Luck. It’s Signal Alignment.

Hi Product Hunt, I'm Scott, Founder and CTO of Market Brew.

Market Brew is a search engineering platform built around patented search engine modeling technology. We reverse engineer observed search behavior using particle swarm optimization and template models. PSO evaluates candidate algorithm weights and biases against search results, creating an inspectable model of a query environment. Teams can compare competitors, identify which signals matter in the model, and test proposed changes before publishing.

The technical gallery shows several parts of the software:

• Ranking models and radar plots: inspect calibrated algorithm settings and compare a site's modeled signals with an outperformer.

• Embedding space: connect website content, documents, and a Brand Bible to a semantic view of the brand.

• Orbital drift: visualize how pages cluster around, or drift away from, the intended brand meaning.

• LLM search testing and content alignment: examine retrieval behavior and compare aligned and misaligned content.

The gallery uses illustrative product demo examples.

The original question behind Market Brew was simple. While I was trying to understand search rankings, my wife asked, 'why don't you just build a search engine?' I built one from first principles, including crawling, link scoring, content scoring, and query processing. That work became Market Brew. You can read the founder story at https://ask.thesearchengineer.com/

Our search engine modeling technology is covered by U.S. Patent Nos. 8,447,751 and 9,245,037:

https://patents.google.com/patent/US8447751B2/en

https://patents.google.com/patent/US9245037B2/en

The enterprise software comes with a white-glove experience. AI Visibility Architects help your team interpret the models, prioritize improvements, work through implementation, and verify progress. Enterprise plans are billed annually.

For a hands-on introduction, our AI + Content Dashboard includes 25 tools for AI answer alignment, entity relationships, query relevance, semantic overlap, LLM compression, and more: https://brew.marketbrew.ai/content-tools.htm

Those tools offer free access with email verification and credits. The enterprise platform does not offer a free trial.

I'd love your questions about model calibration, embedding space, and how your team tests changes for search and AI visibility.

hey scott, congrats on market brew! we're launching benson today too: https://www.producthunt.com/prod.... hope the launch goes well.