For media organisations & newsrooms

Give your journalists
a smarter editorial lens.

Viesly for Business brings AI-powered journalism analysis into your writers' workflow — surfacing structural quality signals and concrete improvement suggestions before an article is published.

Contact us at
hello@viesly.net

Pricing and team access details available on request.

Journalist workflow
01
Journalist opens their draft
The writer navigates to the article they are working on. No copy-paste required.
02
Viesly analyses the article
Trust score plus five structural journalism signals evaluated in seconds.
AI analysis
03
Writer receives improvement suggestions
Concrete guidance: which sources to diversify, where emotional language appears, what context is missing.
Coaching layer
04
Article ships with a stronger score
The revised piece publishes with better sourcing, clearer balance, and higher structural integrity.
Published
The challenge

Journalism quality issues are caught too late — or not at all.

01
Blind spots persist

Every journalist has recurring patterns — over-reliance on certain source types, subtle emotional framing, missing opposing context. These are hard to self-detect under deadline pressure.

02
Editors catch issues late

Editorial review happens after writing. Catching sourcing or balance problems at that stage requires rewrites, delays, and friction between writer and editor.

03
Feedback is subjective

Guidance on balance and framing is often a matter of opinion. Viesly replaces guesswork with five structural signals — measurable, consistent, free of political labels.

How it works

Not just a score — a coaching layer.

Viesly integrates into the writing process, not just the reading process. Writers get actionable feedback on the draft they are about to publish.

1
Writer opens the article

The journalist navigates to their article in the browser. Viesly reads the open tab — no copy-paste, no tool switching.

2
Viesly scores the draft

Five structural signals are evaluated: source diversity, fact vs opinion balance, emotional language, missing context, and author patterns. A 0–100 trust score is produced in seconds.

3
Improvement suggestions surface

Beyond the score, Viesly delivers concrete guidance — which signals pulled the score down and what the writer can do to address them before publishing.

Features

Built for editorial teams.

Trust score per article

A 0–100 score derived from five structural journalism quality signals — not editorial opinion, not ideology.

Improvement suggestions

After scoring, Viesly tells your journalist exactly which signals weakened the score and how to address them — before publication.

Source & balance audit

See which sources are cited, whether opposing viewpoints appear, and what context the article may be missing.

Emotional language detection

Identifies loaded or charged wording that influences the reader beyond the stated facts — a common blind spot under deadline pressure.

Cross-model validation

When signals are uncertain, a second AI model cross-checks the result. If they disagree significantly, the journalist is told.

Multi-language support

Full support for English, Spanish, French, German, Portuguese, Italian, and Dutch. Good support for Turkish, Polish, Swedish, and more.

Privacy & trust

Your newsroom data stays yours.

No full article text is ever stored — analysis results only.
No political labeling, ever. Structural journalism signals only.
Rate limits enforced server-side, not in the browser.
Your writers' reading and editing activity stays on their device.
Every result is framed as AI-detected patterns — never as editorial fact.
Data handling summary
📄Full article textnot stored
🏷️Political labelsnever used
📊Analysis resultsstored
🔒Writer activitystays local
Get started

Ready to bring Viesly to your newsroom?

We work directly with media organisations to set up team access. Reach out for pricing, a demo, or any questions about how Viesly fits your editorial workflow.

Email us athello@viesly.net