10 AI Prompts to Curate Industry News in 20 Minutes
The complete system for curating, analyzing, and distributing industry news using ChatGPT, Claude, or Gemini. No technical skills required
Hey there!
Spending two hours scrolling industry news sites every Monday morning? Then turning those scattered headlines into something you can actually use? That’s eight hours monthly you’re not getting back.
Here’s what changes today: 10 prompts that turn AI into your personal news curator. We’re talking about going from 50 browser tabs to a clean weekly brief in 20 minutes.
You’ll get prompts that aggregate sources, filter noise, spot trends your competitors miss, and format everything for different audiences. One system that handles your entire news curation workflow, from initial scan to final distribution.
Why This Works Now
AI models can process hundreds of articles in seconds and identify patterns humans miss when drowning in information overload.
The prompts below work with ChatGPT, Claude, or Gemini. They’re designed to stack, meaning each builds on the previous output, creating a complete news intelligence system without switching tools.
Prompt #1: Industry News Aggregator
What it does: Scans multiple sources and compiles all relevant headlines into a single organized list.
When to use it: Start of your curation session when you need to gather everything worth reading.
The Prompt:
You’re my industry news curator. I need you to identify and list the top news stories from the past [TIMEFRAME] in [INDUSTRY/SECTOR].
Focus on:
- Major product launches or updates
- Funding announcements and M&A activity
- Regulatory changes or policy updates
- Market shifts and consumer behavior trends
- Key executive moves
For each story provide:
1. Headline
2. Source
3. Date
4. Two-sentence summary
5. Why it matters (one sentence)
Organize by category and rank stories by potential impact on [YOUR BUSINESS TYPE]. Exclude press releases that are purely promotional.How to use it:
Replace [TIMEFRAME] with “week,” “month,” or specific dates
Specify your industry (e.g., “B2B SaaS,” “renewable energy,” “fintech”)
Define your business type for relevance ranking
Example input: “Past week in B2B SaaS, focusing on our business which sells project management software to remote teams”
What you’ll get: A categorized list of 15-25 relevant stories with context, ranked by relevance to your specific business.
Pro tip: Run this Monday morning and save the output. You’ll use it as the foundation for prompts 2-5.
Prompt #2: Signal-to-Noise Filter
What it does: Takes your raw news list and eliminates the fluff, keeping only stories that demand attention.
When to use it: After aggregating headlines when you need to cut through PR spin and identify genuine signals.
The Prompt:
Review this list of industry news stories: [PASTE YOUR LIST FROM PROMPT #1]
Filter this list using these criteria:
- Keep: Stories that indicate market shifts, competitive threats, new opportunities, or regulatory requirements
- Remove: Generic think pieces, obvious PR spin, recycled content, and stories without actionable implications
For each story you keep, add:
- Urgency score (1-10)
- Relevance to [YOUR SPECIFIC ROLE/DEPARTMENT]
- One action item or discussion question
Present the final filtered list with 5-10 stories maximum, ranked by urgency score.How to use it:
Paste the complete output from Prompt #1
Specify your role (CEO, marketing director, product manager, etc.)
Review the urgency scores to prioritize your reading
Example input: “Filtering for relevance to VP of Product at a B2B project management platform”
What you’ll get: A tight list of 5-10 stories that actually matter, with urgency scores and specific discussion questions.
Pro tip: If you’re doing this for a team, run the filter twice with different role specifications to catch stories relevant to different departments.
Prompt #3: Trend Pattern Detector
What it does: Analyzes your filtered news to identify emerging patterns and connections between seemingly unrelated stories.
When to use it: After filtering when you need to see the bigger picture and spot trends competitors might miss.
The Prompt:
Analyze these industry stories for patterns and trends: [PASTE FILTERED LIST FROM PROMPT #2]
Look for:
- Recurring themes across multiple stories
- Emerging technologies or approaches gaining momentum
- Shifts in customer expectations or behavior
- Competitive positioning changes
- Regulatory or market forces creating new constraints or opportunities
For each pattern you identify:
1. Name the trend (make it specific)
2. List the 2-3 stories that support it
3. Predict the 6-month trajectory
4. Suggest one strategic response for [YOUR COMPANY TYPE]
Prioritize patterns that are either urgent or represent significant opportunities.How to use it:
Paste your filtered story list
Specify your company type and current strategic focus
Pay attention to the 6-month predictions for planning purposes
Example input: “Analyzing for a bootstrapped B2B SaaS company focused on remote team collaboration”
What you’ll get: 3-5 identified trends with supporting evidence, forward-looking predictions, and strategic recommendations.
Pro tip: Screenshot or save these trend analyses. Review them monthly to track which predictions proved accurate and refine your pattern recognition.
Prompt #4: Competitive Intelligence Briefing
What it does: Transforms general news into specific intelligence about your competitors’ moves and market positioning.
When to use it: When you need to understand how industry developments affect competitive dynamics.