Only the stories that matter
Raw source feeds produce noise. Content groups let you define precisely which stories pass through your pipeline — using keyword rules, deduplication, and real-time relevance scoring to surface only high-value content.
Keyword rules
Define keyword groups that match articles by topic. Each content group supports three types of keyword configuration:
Articles must contain at least one of these terms to be considered. Use them to define your topic focus — "AI regulation", "semiconductor", "central bank policy".
Articles containing any of these terms are excluded. Filter out irrelevant subtopics, competitors, or content categories you don't cover.
Set minimum relevance scores that articles must meet. Combine keyword match strength with live relevance signals to ensure only high-relevance content proceeds to rewriting.
Deduplication
When multiple sources cover the same story, you don't want five versions of it in your pipeline. Newsmill automatically recognizes when a new article is really the same story you've already seen — and skips it.
It compares the meaning of each article, not just matching words, so it catches rewrites, syndicated copies, and lightly reworded versions that simple keyword matching would miss. Every story that reaches your pipeline is genuinely distinct.
Relevance scoring
Keyword matching alone isn't enough. Newsmill scores each article for real-time relevance, so a story about a topic that's surging right now ranks higher than one about a topic with flat interest.
The relevance score combines how well an article matches your topics with live signals about what's gaining attention. You set the threshold — only articles that clear it move forward to rewriting and publishing — so your output stays focused on what your audience cares about right now, not just what matches a keyword list.
This feature is included on every paid plan. See plans and pricing →
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