About Mediagentive
We do not take on clients. We take on partners, and we build brands of our own on the same loop.
For fifteen years we built and operated data-driven decision resources for the biggest choices in a person's life, starting with college. The platform we ran longest grew to more than five million pages across eleven sites, drew on more than a hundred integrated data sources, and went through four full re-architectures. The idea underneath never changed: turn primary data into a clear, honest view of the options, one page for every entity, cohort, and place, and keep every page current as the data changes.
Then the reader changed. Answer engines began composing the answer instead of listing the links. In education, four searches in five now return an AI answer, and only a fraction of the sources those answers cite rank in the organic top ten. Aggregators and reference intermediaries lost ground in every 2026 update. And the platforms started paying the sources they draw on, scored on relevance, freshness, and uniqueness.
Those are the three properties our pages have always had by construction. We did not adapt the approach to AI search. The approach was built for it before it arrived. Mediagentive exists to run that approach as a company: media brands built and operated by AI agents from a knowledge graph of source data, with people setting direction and approving what ships. We call it agentive media, media built by agents and built to act.
Joshua McWilliam
Founder & Principal
Joshua McWilliam spent fifteen years as co-founder and VP of Product at College Factual, where he architected the data library, content engine, and publishing systems behind more than five million data-driven pages across eleven sites. He founded Mediagentive to build media brands for a web where the reader is often a machine.
Every article on this site is written or reviewed by the founder. Publication and update dates are real.
Facts come from the knowledge graph, never from the model.
People author templates, standards, and policies and approve releases. Agents run the rest.
Every program starts with a baseline and a holdout. Scale follows the readout.
Real accountable people behind every voice, disclosure where required, no fabricated credentials, no scaled thin pages.
Every capability serves an internal brand and a partner brand from the same system.
Results are keyed to numbers the partner owns, and the method is public.
We look for verticals with real data behind expensive decisions, and partners who want to own the source in that space.