Generate earnings call news story
AI turns earnings call transcripts into 800-word news articles.
Generate earnings call news story
River's Earnings Call to News Story writer transforms earnings call transcripts into 800-word news articles. You paste key sections or points from the call, and the AI writes a complete news story with results-focused lede, performance analysis, forward guidance, analyst reaction structure, and context. Whether you're covering quarterly earnings, breaking business news, or writing for trade publications, you get professional earnings stories following financial journalism conventions.
Unlike raw transcript summaries, we create newsworthy articles that highlight what matters. The AI understands earnings story structure (lead with most newsworthy number, compare to expectations and prior periods, explain performance drivers, cover forward guidance, include quote from leadership, provide context), writes in objective news style, and prioritizes information readers need. You get stories that extract news from financial details.
This tool is perfect for business journalists covering earnings on deadline, financial reporters handling multiple calls, trade press covering industry companies, and journalism students learning financial reporting. If you monitor earnings calls but need to file quickly, or if you're new to earnings coverage, this tool helps. Use it during or immediately after calls when information is fresh and deadlines are tight.
What Makes Earnings Stories Newsworthy
Earnings stories succeed when they identify what's actually newsworthy in financial results, not just repeat numbers. Effective earnings coverage determines whether results beat or missed expectations, explains why performance changed from prior periods, highlights forward-looking statements that signal future direction, identifies surprises or concerns analysts raise, and provides context readers need to understand significance. Weak stories just transcribe results. Strong stories interpret results and explain what they mean for the company, industry, employees, and investors.
The best earnings stories follow inverted pyramid structure. Lead with most newsworthy element (usually earnings per share and revenue versus expectations). Second paragraph explains whether results beat, met, or missed forecasts and compares to prior year. Body covers performance drivers (what boosted or hurt results), segment breakdowns if relevant, forward guidance (company's predictions), and notable statements from executives. Include brief analyst reaction if available. Close with context (stock movement, longer-term trends, what's next). Keep jargon minimal and explain financial terms.
To improve earnings coverage, know expectations before the call (check analyst consensus). Listen for tone beyond numbers (executives confident or cautious?). Identify surprises (unexpected strong segments, warning signs, revised guidance). Compare results to competitors when relevant. Look for real-world impact (layoffs mentioned, expansion plans, product delays). Get analyst quotes if possible. File quickly (earnings stories are time-sensitive). Update as more analysis emerges. Remember audience may include investors, employees, customers. Balance detail with accessibility.
What You Get
Complete 800-word earnings news story
Results-focused lede with key numbers
Performance analysis and comparison to expectations
Forward guidance and executive statements
Professional business journalism format
How It Works
- 1Paste transcript or key pointsCopy relevant sections from earnings call or list key results
- 2AI writes news storyOur AI generates complete 800-word article in 2 to 3 minutes
- 3Review and copyRead through the story and copy it
- 4Verify and fileCheck all numbers, add analyst quotes if needed, and publish
Frequently Asked Questions
Will this compare results to analyst expectations?
The AI notes where you should add expectation comparisons, but you must provide actual consensus estimates. Include this in your input (Revenue $5B vs expected $4.8B) and the AI will incorporate it. Expectation comparisons are crucial to earnings stories. Look up analyst consensus before the call and include it in your notes.
Does this include stock price movement?
The draft includes structure for stock reaction, but you add actual price movement after market close or during after-hours trading. Check stock price and include percentage change. Stock reaction helps readers understand whether results met market expectations even if they beat analyst forecasts.
Can I use this for any company or just public ones?
This is designed for public company earnings calls (quarterly results with formal calls). Private companies don't have same structure. For private company financial announcements, adapt the framework but expect more editing. Public earnings calls follow predictable formats making this tool most effective for that use case.
What if the transcript is very long?
Extract key sections (prepared remarks with numbers, notable Q&A exchanges, guidance statements) rather than pasting entire transcript. Focus on newsworthy elements. The AI works with what you provide. Your editorial judgment about what matters is essential. You're the filter deciding what's news.
Should I include analyst reactions?
If available, yes. Analyst quotes add outside perspective. But don't delay filing to gather analyst reactions. File initial story with company results, then update with analyst commentary as it emerges. Breaking news matters more than comprehensive analysis. You can publish updates throughout the day.
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