AI media databases and journalist discovery tools

Media databases are the oldest category in PR software and the one AI has changed most. The pitch used to be size — hundreds of thousands of contacts, sold by the seat. That number was always close to meaningless, because a list of journalists is only as good as the last time somebody checked whether they still worked there.

What AI changes is matching. Instead of filtering by beat tags a vendor assigned years ago, the better tools now read what a journalist has actually published and match it against your story. That is a real improvement, and it is also where the marketing gets loosest.

When we score tools in this category, data accuracy carries the most weight. We check whether records show a verification date, whether coverage matching cites the articles it drew on, and whether the tool admits when it is guessing. A database that returns a confident answer with no evidence behind it is worse than one that returns fewer names and shows its working.

The second thing we look for is whether lists can leave. Plenty of tools make discovery pleasant and export deliberately painful.