How to Build a Competitive Intelligence Machine 2025
The Winners of 2025 Will Build Machines, Not Dashboards
Jonathan Gross
Founder • DIGBI
From the blog
Posts about Product Management, Customer Success and mainly competition.
The 181 Zettabyte Problem: Why Your Intelligence Strategy Is Already Outdated
By 2025, we'll have 181 zettabytes of global data. Your last competitive intelligence report? Three weeks old. Might as well be three years. While you're running quarterly strategy cycles, your competitors are making daily moves. Here's the uncomfortable truth about why your intelligence strategy is broken - and what's happening to companies that figure this out versus those that don't.
Uri Jablonowsky
Founder • DIGBI
The Zettabyte Era Paradox: When More Data Means Less Clarity
As we generate 149 zettabytes of data annually, businesses face a critical paradox: infinite information but finite insight. While data volumes explode exponentially, the real competitive advantage belongs to companies that can transform overwhelming information streams into clear, actionable intelligence for strategic decision-making.
Daniel Yarnitsky
Prompt Engineer • DIGBI
Real-Time Competitive Intelligence: Why Your Business Can't Afford to Wait for Quarterly Reports
While your business waits for quarterly reports, competitors are making strategic moves that reshape markets overnight. Real-time competitive intelligence transforms how SMB businesses respond to threats and opportunities.
Daniel Yarnitsky
Prompt Engineer • DIGBI
Why Your Team Either Loves or Hates AI: The Psychology Behind Workplace AI Adoption
New research explains why employees either love or hate AI tools at work. Understanding the psychology behind AI adoption can help product managers build more successful implementation strategies.
Daniel Yarnitsky
Prompt Engineer • DIGBI
The Evolution of Multi-Agent Systems: Three Waves and Modern Applications
Multi-agent systems have evolved from academic experiments to practical business tools powering Netflix, Uber, and competitive intelligence platforms. Modern implementations combine hierarchical, market-based, consensus, and emergent coordination patterns to solve complex problems that no single system could handle alone. This version is about one-third the length of the original while maintaining the key points: the evolution from academic to practical, recognizable examples, and the coordination patterns that make these systems effective for business applications.
Daniel Yarnitsky
Prompt Engineer • DIGBI
AI Can Now Extract Competitor Product Data at 87% Accuracy
A groundbreaking academic study reveals AI systems can now automatically extract competitor product information from websites with 87% accuracy. This research breakthrough signals a fundamental shift from manual competitive intelligence to AI-powered market analysis. For product managers spending countless hours manually tracking competitors, this technology promises to transform how we understand competitive landscapes—turning weeks of manual research into automated, comprehensive analysis. Discover what this means for your competitive strategy and how leading product teams are preparing for this transformation.
Daniel Yarnitsky
Prompt Engineer • DIGBI
From Reviews to Requirements: How LLMs Transform Customer Feedback Into Actionable Product Insights
Recent research reveals how Large Language Models can transform scattered B2B customer feedback into structured product requirements and competitive insights. Discover how growing companies are using AI to extract actionable user stories from reviews, support tickets, and community posts.
Uri Jablonowsky
Founder • DIGBI
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The Competitive Intelligence Playbook That Saved Facebook From Snapchat's Disruption
When Facebook dismissed Snapchat as a "toy for teenagers," they nearly missed one of the biggest competitive threats in social media history. After a failed $3 billion acquisition attempt, Facebook deployed a systematic competitive intelligence strategy that not only neutralized Snapchat's advantage but turned their innovations into Facebook's strategic weapons. Here's the exact playbook they used - and how you can apply it to stay ahead of your competition.
Uri Jablonowsky
The AI That Never Sleeps: How DigBI's Agentic CI Monitors 1000+ Competitors 24/7
Traditional competitive intelligence is dead. While your competitors launch features, change pricing, and shift strategies, you're still waiting for monthly reports. DigBI's Agentic CI changes everything - AI agents that work 24/7, monitoring unlimited competitors, predicting their next moves, and alerting you before threats impact your business. Discover how SaaS product managers are gaining unfair competitive advantages with autonomous intelligence that never sleeps.
Uri Jablonowsky
AI Agents Stole ProductCON 2025 - Here’s How DigBI Puts Them to Work for You
Fresh back from ProductCON 2025 we unpack how AI agents vaulted from hype to must-have and show how DigBI’s Night Watch alerts, Interactive Persona snapshots and Harvey Ball competitor scoring turn clean data into instant, action-ready insight for every product team.
Uri Jablonowsky
AI isn't replacing your team - it's making them unstoppable 🚀
AI isn't replacing your team—it's making them unstoppable. Harvard Business School research confirms what we've seen at DigBI: AI works best as a teammate. With 48% of managers reporting enhanced efficiency and 52% highlighting improved communication with AI tools, the data is clear. Our cybernetic approach to competitive intelligence helps product teams work smarter, not harder, turning days of research into hours while improving decision quality and innovation. Discover how to measure success when humans and AI collaborate effectively.
Uri Jablonowsky
Beyond the AI Hype: Building a Practical Strategy Your Product Team Can Actually Execute
Creating an AI strategy that goes beyond buzzwords is challenging for most product teams. This article provides a practical 6-step framework for product leaders: from mapping your data assets and analyzing competitors to finding your differentiator and creating an actionable roadmap. Learn how DigBI transformed its approach using this method, and discover how to develop an AI strategy your team can actually execute.
Uri Jablonowsky
Introducing DigBI's AI-Powered Interactive Personas
DigBI’s AI-powered interactive personas transform static buyer profiles into dynamic, real-time conversational tools, delivering deep insights for research, UI/UX testing, and journey mapping. Boost engagement and drive growth by starting your interactive persona experience today.
Jonathan Gross
Founder • DIGBI
What is Agentic AI and what it means for product managers ?
Agentic AI is a new type of artificial intelligence that can set goals, make decisions, and take actions with minimal human input. Unlike traditional AI, which relies on pre-set rules and commands, agentic AI adapts, learns, and operates independently to solve problems and streamline workflows. Here’s what you need to know:
Jonathan Gross
Founder • DIGBI
7 Essential Competitor Tracking Metrics for SaaS Companies
In the fast-moving SaaS industry, tracking competitors is critical for growth. Companies that excel at competitive intelligence see 36% higher revenue growth and 68% higher profitability. Yet, 40% of businesses still skip competitor analysis. This article covers seven key metrics you should monitor to stay ahead
Jonathan Gross
Founder • DIGBI
The Rise and Fall of Yahoo!: Key Lessons for Product Managers
"Explore the rise and fall of Yahoo! and uncover essential lessons for product managers in the tech industry. Learn how adaptability, strategic acquisitions, and data-driven decision-making can shape success. Discover how DigBI's competitive research platform and AI integration tools can help product managers stay ahead in today's fast-paced digital landscape."
Jonathan Gross
Founder • DIGBI
The Fall of a Giant: How Intel Lost Its Crown to Nvidia in the AI Chip Race
Understanding Intel's decline Intel's failure to adapt to AI chip needs reveals strategic missteps. A product manager's role in spotting market shifts is crucial.
Jonathan Gross
Founder • DIGBI
The Rise and Fall of Silicon Graphics: A Lesson in Market Adaptation
Discover the rise and fall of Silicon Graphics (SGI), once a leader in high-performance computing. Learn how failing to adapt to market shifts led to its decline, and why businesses must evolve to survive.
Jonathan Gross
Founder • DIGBI
Time to integrate AI to your products
AI is everywhere—and if you’re not integrating it into your products, you’re already a few steps behind. As product managers, our role spans research, analysis, ideation, planning, and delivery, and each of these pillars now stands to benefit from AI-driven insights and automation. Competitors who embrace AI can outpace us with faster feature rollouts and entirely new offerings. From leveraging Large Language Models (LLMs) to grounding them in real-world data, product managers need to learn, adapt, and guide their teams forward in this rapidly evolving landscape. Now more than ever, it’s critical to balance innovation, speed, and customer value to stay ahead—and AI is the catalyst that makes it all possible.
Jonathan Gross
Founder • DIGBI