Complex data, simplified.

Our story

Media Factual began as a publisher. For years we ran a large network of how-to and reference sites written the traditional way — one article at a time, by many writers. We learned how audiences find content, what search rewards, and how expensive it is to keep a large archive accurate.

Then we built College Factual. The college decision is one of the most consequential and least transparent choices most families make, and the data to inform it was scattered across dozens of government and institutional sources that nobody had assembled for the reader. So we assembled it: a data library of more than a hundred sources, a knowledge graph connecting schools, programs, places, and careers, and outcomes-focused rankings built bottom-up from the program level. College Factual became one of the most-visited resources in American higher education, and its rankings are referenced and promoted by hundreds of colleges.

To do that at the necessary scale, we built an engine — a data library, a content-generation system authored by writers, a publishing engine, a promotion system, and analytics that tie it all together. The engine proved out on College Factual, then on a ten-site network of specialized higher-education resources we designed, built, and operate for a partner. Along the way we learned that a small, technologically enhanced team could do ten times the work of a larger traditional one.

Now we are taking the same approach to the next decisions: cars, money, health, and careers. And we are opening the engine to partners who want the same results behind their own brands.

Our mission

Help people find their future faster. Whatever the decision, the person facing it deserves the clearest, most complete, most honest view of the facts — and deserves to find it when they search for it.

How we are different

We are a publisher, not just a vendor: every method we recommend is one we depend on for our own audiences. We generate content from verified data rather than predicting it with a language model, so accuracy holds at millions of pages. And we design for durability — permanent URLs, deep topical clusters, and automatic refreshes — because a resource that decays is not an asset.