The 2-hour article cycle
Stories peak, disappear from the feed and stop creating value.
AI context layer for newsrooms
Turn your archive into an AI context layer for every story
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.
+20–30%session duration
5–10%prompt engagement
Lowerpost-article bounce
The problem
Readers leave when they become curious
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.
The archive graveyard
Years of reporting become storage cost instead of reader value.
The curiosity leak
Readers leave your site to understand the story somewhere else.
The solution
Context that keeps readers inside your journalism
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.
Context cards
Instant background from your own archive.
Guided follow-up prompts
Questions readers are likely to ask next.
Archive timelines
How an issue, person or policy developed over time.
Ask the archive
Controlled AI answers based on approved publisher content.
From article to guided exploration
One live story becomes a structured entry point into verified archive context.
Live articlePolicy story
Entities, events and claims detected in the current page.
Fact Commons layer
Approved archive
Editorial rules
Source citations
Reader experience
Context cards
Timelines
Follow-up prompts
Archive-backed answers
CMSArchivePaywallAnalytics
Benefits
What your newsroom gets
Pilot principle
The pilot is designed to prove reader value without asking your editorial, product or engineering teams to rebuild anything.
Higher engagement
Target: +20–30% session duration on pilot articles.
More depth per visit
Target: 5–10% prompt engagement from readers who want context.
Lower post-article bounce
Measure whether readers continue exploring after the first article.
Archive monetisation
Old journalism becomes part of the live reader journey again.
Stronger editorial positioning
Become the first AI-enhanced knowledge hub in your market.
First-mover advantage
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
Simple integration. Full editorial 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.
Add one tag to your site
<!-- Fact Commons -->
<script>
(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>One tag integration
Add the snippet once. No CMS migration.
No archive rebuild
We work with a controlled archive sample.
No editorial disruption
Editors keep publishing as usual.
Publisher-safe AI
Approved sources, editorial tone, exclusions, moderation and fallback rules.
Approved sources only
Citations to source articles
Adjustable editorial tone
Sensitive-topic exclusions
Moderation layer
Fallback: “No verified archive context found”
Pilot
4 weeks. Clear metrics. Low risk.
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.
Pilot scope
- Duration: 4 weeks
- Archive sample: 5,000–20,000 articles
- Live deployment: widgets on 50–100 live articles
Success metrics
- +20–30% session duration
- 5–10% prompt engagement
- Measurable reduction in bounce after article read