AI-powered print media monitoring for PR and communications teams

PressScope helps teams process newspaper pages, identify client-relevant articles, summarize coverage, cluster related news, and reduce manual review effort.

Daily print monitoring

128 pages processed across 9 publications

Review ready
Articles43
Relevant12
Clusters5

Client match

High

Coverage mentions product recall response and regional retail distribution.

Summary

Article highlights client response, executive quote, and follow-up actions across two city editions.

Related stories

PolicyClientRegionFollow-up

The problem

Print monitoring is still too manual for the pace of modern reputation work.

Manual clipping bottlenecks

Analysts still scan dense pages, clip articles, and check relevance client by client.

Noisy coverage at scale

Publications, editions, regions, languages, and duplicate story lines make daily review hard to standardize.

Slow reporting cycles

Important mentions can sit inside print pages for hours before they reach the right stakeholder.

Quality needs oversight

Teams need summaries, evidence, and organized context without removing human judgment from the workflow.

The solution

PressScope turns newspaper pages into review-ready media intelligence.

The platform uses AI to read newspaper pages, detect articles, match coverage to client context, summarize relevant mentions, and organize related stories so teams can focus on judgment instead of repetitive sorting.

Read pages

Layout, text, page context

Score relevance

Client profile and monitoring context

Summarize

Concise analyst-ready outputs

Cluster

Related coverage and story arcs

How it works

A practical workflow for daily print coverage.

01

Upload or ingest newspaper pages

Bring print editions into one pipeline, whether they arrive as scanned pages, PDFs, or daily publication batches.

02

Detect and extract articles

Identify article boundaries, headlines, page context, and readable text from dense newspaper layouts.

03

Match coverage to client context

Compare extracted coverage against client profiles, keywords, topics, and monitoring instructions.

04

Review, summarize, cluster, and export insights

Help analysts validate relevant mentions, summarize coverage, group related stories, and prepare reporting outputs.

Use cases

Built for teams that need reliable print coverage at scale.

PR agencies

Track client mentions across publications and prepare sharper daily coverage notes for account teams.

Media monitoring firms

Increase page-processing capacity while keeping analyst review and customer-specific rules in the loop.

Corporate communications teams

Spot relevant print coverage, summarize reputation signals, and brief leadership faster.

Brand reputation teams

Group related stories, detect emerging narratives, and reduce the noise around brand mentions.

Technology

AI where it helps, human review where it matters.

PressScope combines document processing, language models, and structured review workflows so monitoring teams can preserve quality while handling more coverage.

Document processing

Converts scanned pages and PDFs into structured page context.

Article detection and extraction

Finds article regions, headlines, text blocks, and page-level evidence.

LLM-based relevance detection

Compares coverage against client context, keywords, and instructions.

Summarization

Creates concise coverage summaries for analyst review and reporting.

News clustering

Groups related articles so teams can see story arcs instead of duplicates.

Human review workflows

Keeps final validation, edits, and exports in the hands of the monitoring team.

Bring AI-assisted review to your print monitoring workflow.

For customer, partner, or pilot inquiries, contact the PressScope team.

naveen.sharma@pressscope.in