More than clips. Actionable intelligence.

The date the article was published, extracted from the source page or monitoring alert email.

The publication or media outlet that published the article (e.g., The New York Times, TechCrunch). Automatically identified from the article URL.

The article's headline as it appears on the original page.

Direct URL to the original article. Redirect links from monitoring services like Meltwater are automatically resolved to the actual article URL.

The type of media: news, blog, broadcast, print, podcast, social, forum, video, or press release. Classified by AI after reading the full article.

A short description or lead paragraph from the original article page, typically the first 1–2 sentences.

A concise one-sentence summary of the article's main point, generated by AI after reading the full text. Designed to help you decide whether to read the full article.

Bullet-point extraction of the article's key facts, data points, and quotes. Captures all major information so you can understand the article without reading it in full.

Estimated number of people who may have seen this article, calculated from the outlet's web traffic ranking and adjusted for headline engagement factors and article prominence.

A 1–5 rating of how interesting and relevant this article is likely to be for your team. A score of 3 is average; 5 means exceptionally noteworthy. Based on the outlet, topic alignment, and content uniqueness.

A 1–5 rating of how prominently your client's topic is featured in the article. A score of 1 means a brief mention among other subjects; 5 means the article is entirely about your topic.

The specific search query or alert that originally found this article. Helps trace which monitoring terms are generating the most coverage.

Up to 5 key themes or entities extracted from the article that align with your monitoring interests. Useful for filtering and trend analysis.

A 1–5 self-assessment of how confident the AI is in its analysis. Lower scores (1–2) indicate the article text was garbled, too short, or mostly ads — metrics should be verified manually.

A manual sorting position you can assign to prioritize articles within a collection. Useful for arranging coverage in a specific order for client reports and presentations.

Free-text annotations added by your team. Use for internal context, follow-up reminders, or client-specific observations.

When this article was first added to Briifd.

The last time this article's AI-generated metrics were recalculated. Useful for tracking when articles were reprocessed.