AI context layer for newsrooms
Fact Commons helps newsrooms keep readers inside their own journalism — with archive-backed context, follow-up questions, timelines and AI answers embedded directly into live articles.
No CMS migration. No archive rebuild. One lightweight tag — like Google Analytics.
POLITICS
The central bank kept interest rates unchanged for a sixth straight meeting on Wednesday, citing signs that inflation is easing while the labor market remains resilient.
Our archive explains how supply chains, energy prices and wage growth have changed since 2022.
Read explainer →The problem
A strong article answers the first question. Then the reader has five more. Today they open Google, ChatGPT, Wikipedia or a competitor’s article. Your newsroom paid for the reporting, built the archive and earned the trust — but the next session happens somewhere else.
Stories peak, disappear from the feed and stop creating value.
Years of reporting become storage cost instead of reader value.
Readers leave your site to understand the story somewhere else.
The solution
Fact Commons adds an AI-powered context layer to your articles. It connects live stories with approved archive material and shows readers useful next steps: explainers, timelines, related background and follow-up prompts.
Instant background from your own archive.
Questions readers are likely to ask next.
How an issue, person or policy developed over time.
Controlled AI answers based on approved publisher content.
Benefits
The pilot is designed to prove reader value without asking your editorial, product or engineering teams to rebuild anything.
Target: +20–30% session duration on pilot articles.
Target: 5–10% prompt engagement from readers who want context.
Measure whether readers continue exploring after the first article.
Old journalism becomes part of the live reader journey again.
Become the first AI-enhanced knowledge hub in your market.
Most publishers use AI internally. You can be first to turn it into a reader-facing editorial product.
Your competitors have archives. You can be the first to make yours answer back.
Integration & control
Fact Commons runs as a lightweight layer on top of your existing site and archive. We do not need to change your CMS, redesign article pages or rebuild the archive.
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(function() {
var fc = document.createElement('script');
fc.src = 'https://cdn.factcommons.co/fc.js';
fc.async = true;
fc.dataset.site = 'your-site-id';
document.head.appendChild(fc);
})();
</script>Add the snippet once. No CMS migration.
We work with a controlled archive sample.
Editors keep publishing as usual.
Approved sources, editorial tone, exclusions, moderation and fallback rules.
Pilot
We start small, measurable and focused. The pilot uses a defined archive sample and a limited set of live articles, so your team can test the value before committing to a full rollout.