Market Analysis and Competitive Intelligence

Gemini has entered the chat! The real AI race is just beginning, with Google quickly closing the gap and now running neck and neck with OpenAI 🚀 . I just conducted an AI-off between OpenAI's latest o3, released yesterday, and Google's Gemini 2.5 using real product challenges (prompt playbook for PMs and designers below!). Despite the headlines, these giants perform surprisingly similarly across these 7 practical scenarios, though both tower above other models. Here's my prompt playbook for advanced reasoning product-oriented tasks you can copy/paste to maximize whichever model you prefer 👇 Results were exceptional. 1️⃣ Competitive Intel (Single Turn): Analyze the below competitor's landing page and summarize their key value propositions [list competitor links below]. Format the output as a table per competitor, including the theme, core messaging from their website, and why it matters. Then, analyze our landing page [link] and come up with the same output. Finally, comment on how we could improve our landing page to highlight our power of X. 2️⃣ Ideating a Strategy (Multi Turn): Start with "Let's develop a product strategy for X (include relevant context). First, search for the latest [industry] trends and user expectations in 2025." *Thinks and responds*. "Based on these trends, what are 3 key features we should prioritize?" *Thinks and responds* "For the X feature, analyze how competitors have implemented this" *Thinks and responds* 3️⃣ Design (Single Turn): Analyze these wireframes [or HiFi designs]. Identify potential friction points where users may be confused or get stuck, and design improvements based on UX best practices. 4️⃣ Pricing & Packaging (Single Turn): Evaluate [insert competitor list] pricing strategy and share a summary, including patterns across the competitors. Suggest how we might optimize our pricing and packaging based on this and outcompete. Give suggestions on what we can do next week to test suggestions out or ideate further. 5️⃣ Analytics (Single Turn): Review this CSV of product usage data and build a segmentation model to identify our power users. 6️⃣ Analytics (Multi Turn): Start with "I've uploaded our quarterly user retention data. Analyze the patterns and prepare some initial observations before we dig deeper." *Thinks and responds*. "What cohorts show the highest churn? Can you create a visualization?" *Thinks and responds* "For the high-churn segment, what specific product interactions preceded their departure?" [You may upload another usage CSV] *Thinks and responds* "Draft three hypothesis statements about why this is occurring and how we might test them" [Include design mocks on the mentioned product interactions] 7️⃣ GTM (Single Turn): [Upload documentation on new feature] Create a go-to-market strategy for this new feature based on market research, user personas, and competitive positioning.

We've lost the art of good old-fashioned competitiveness. 𝙈𝙤𝙨𝙩 𝙛𝙤𝙪𝙣𝙙𝙚𝙧𝙨 𝙚𝙞𝙩𝙝𝙚𝙧: Ignore competitors completely ('We're so unique, we have no competition') Obsess over direct competitors ('Let's copy what they're doing') Both approaches miss the real opportunity. The competitive analysis framework that transformed my last company: Instead of just watching our direct competitors, I challenged my team to identify world-class leaders in specific categories and learn from their principles. 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: - 𝙂𝙖𝙥 for e-commerce website experience - 𝙉𝙤𝙧𝙙𝙨𝙩𝙧𝙤𝙢 for customer service excellence - 𝘼𝙥𝙥𝙡𝙚 for product simplicity and user experience 𝗧𝗵𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: 'How can we apply their world-class principles to our business?' Why this works better than traditional competitive analysis: You learn from proven excellence, not just industry mediocrity You discover innovations from outside your sector 𝗧𝗵𝗲 𝗔𝗜 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗻𝗼𝗯𝗼𝗱𝘆'𝘀 𝘂𝘀𝗶𝗻𝗴: Here are 5 AI prompts for competitive analysis: 𝗣𝗿𝗼𝗺𝗽𝘁 𝟭: 𝗖𝗿𝗼𝘀𝘀-𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 'Identify the top 3 companies known for [specific capability like customer onboarding, pricing strategy, or user interface design]. Analyze what makes them world-class in this area and suggest how a [your industry] company could adapt these principles.' 𝗣𝗿𝗼𝗺𝗽𝘁 𝟮: 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 'Study [world-class company]'s approach to [specific function]. Break down their strategy into 5 core principles that could be applied to any business. Provide specific examples of how each principle works.' 𝗣𝗿𝗼𝗺𝗽𝘁 𝟯: 𝗚𝗮𝗽 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗔𝗴𝗮𝗶𝗻𝘀𝘁 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲 'Compare our current [process/strategy] to how [world-class benchmark] handles the same function. Identify the 3 biggest gaps and suggest specific improvements we could implement in the next 90 days.' 𝗣𝗿𝗼𝗺𝗽𝘁 𝟰: 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿 '[World-class company] excels at [specific capability]. How could a company in [your industry] adapt their approach to achieve similar results? What would need to be modified for our context?' 𝗣𝗿𝗼𝗺𝗽𝘁 𝟱: 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗦𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝘀 'Analyze the competitive strategies of [3 world-class companies from different industries]. What common patterns emerge in how they maintain market leadership? How could these patterns apply to our competitive strategy?' 𝗧𝗵𝗲 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲: While your competitors are copying each other, you're learning from the best in the world. What world-class company could you learn from that's completely outside your industry?"

PMMs, don’t study what your competitors say they do. Study how they win. Most competitive research stops at: 📄 Feature grids 📊 Pricing pages 📝 G2 reviews That tells you what they’re selling. But not why they’re winning. The real insights come from analyzing their traction model 👇 1️⃣ Narrative Strength → What story do they lead with—and why does it resonate? 2️⃣ Segment Focus → Who are they really selling to? (Hint: hiring trends + case studies usually tell the truth.) 3️⃣ Sales Motion → PLG? Top-down? Channel-heavy? Their motion shapes their success more than their features. 4️⃣ Messaging Gaps → What do buyers still complain about on Reddit, Slack groups, or in lost-deal feedback? That’s your wedge. 5️⃣ Deal Behavior → What tactics do reps use in bake-offs? What unprompted competitor mentions show up in your calls? Klue reports companies with active competitive programs increase win rates by 15%. Not by copying features—but by positioning against traction models. Competitive intelligence isn’t about paranoia. It’s about clarity: where they’re strong, where they’re weak, and where you can build a moat. What’s the smartest competitive move you’ve seen a rival make—and how did you counter it? #GTMStrategy #CompetitiveIntelligence #ProductMarketing #B2BSaaS #GoToMarketExecution #SalesEnablement #Positioning #RevenueLeadership #GTMFit

💡Competitor analysis in product design (checklist & tools) Competitor analysis is a critical part of the product design process that helps you understand the market, ensure your product meets the needs of your target customers, and identify opportunities for growth.   ✅ Identify your primary and secondary competitors ✔ List direct competitors (Those offering similar products or services within the same market niche) ✔ List indirect competitors (Those offering alternative solutions to the same customer needs or problems) ✔ Identify potential new entrants to the market ✅ Gather information about your competitors  ✔ Identify the primary user demographics and personas of competitor products. ✔ Collect data on competitors' product features & specifications (What does the product do? How does it work?) ✔ Analyze competitors' design, usability, and customer experience (How is the product designed? Is it user-friendly?) ✔ Review the technology stack that competitors use (What technologies are used in the product?) ✔ Customer support (How do they handle customer service and support?) ✅ Customer insights ✔ Analyze customer reviews and feedback on competitors' products (AppStore/Google Play, TrustPilot reviews) ✔ Conduct surveys with the target audience to understand customer perceptions of competitors. ✔ Monitor social media and online forums for customer sentiments about competitors. ✅ Sales and marketing insights ✔ Research competitors' pricing strategies and models (How much does the product cost? What value does the price convey?) ✔ Investigate the market positioning of competitors (How is the product positioned in the market? Who is the marketing persona?) ✔ Review promotion strategy (How do they promote their product on the market? What channels are they using?) ✔ Look into their strategies for acquiring and retaining users. ✅ Financial analysis ✔ Review available financial data on competitors (e.g., revenue, profit margins). ✔ Gather data on their market share, growth rate, and user base size. ✔ Understand competitors' pricing strategies. ✅ Conduct (Strengths, Weaknesses, Opportunities, Threats) analysis ✔ Strengths (What are they doing well? Identify what competitors do well in design, technology, market reach, and user engagement) ✔ Weaknesses (Where are the gaps? Pinpoint areas where competitors fall short, offering potential opportunities for your product) ✔ Opportunities: Look for gaps in the product design/marketing that competitors are not addressing. ✔ Threats (Identify challenges that could cause trouble for your project) 🔨 Tools ✔ Competitor analysis summary for Notion https://lnkd.in/dWD4JqmU ✔ Competitive Analysis Template for Miro https://lnkd.in/dxUrJNWX ✔ SWOT analysis template for Figma https://lnkd.in/dbAXxx4V 🖼 by Miro #competitoranalysis #SWOT #customeranalysis #competitorresearch #ux #productdesign

🧠 🚀 💡 Ever wondered how top CEOs gather competitive intel without crossing ethical lines? I've developed an AI-powered playbook used by forward-thinking executives... 🔥 #CompetitiveIntelligence #AIforBusiness The competitive intelligence game has completely transformed. While traditional competitive analysis takes weeks and substantial resources, today's savvy C-suite leaders leverage AI to gain unprecedented insights in hours. This isn't just about working faster—it's about uncovering hidden opportunities and strategic blind spots that traditional methods miss entirely. #ExecutiveStrategy 🚀 How top CEOs are leveraging ChatGPT: 🔎 Market mapping in hours, not days - One SaaS CEO I interviewed reduced her team's weekly competitive landscape analysis from 20 hours to just 3 using AI assistance 🧠 Blind spot identification - With 84% of executive decisions affected by confirmation bias (HBR), leaders are using prompts like this to challenge assumptions: Our working assumptions about Competitor X: 1. Their advantage is [Feature] 2. Their weakness is [Weakness] 3. They're targeting [Segment A] Challenge these assumptions with alternative ones and overlooked data points... Beyond ChatGPT, forward-thinking leaders are exploring specialized tools from innovative companies: @Crayon for tracking digital footprints @Perplexity AI for real-time intelligence with citations @Signal AI for monitoring global news and risks @Alphasense for earnings call and SEC filing analysis @Klue for competitive enablement @Consensus for scientific research monitoring The executives seeing the biggest ROI follow this: 1️⃣ Define intelligence objectives (not "monitor competitors" but "identify which features are gaining traction in healthcare verticals") 2️⃣ Establish explicit ethical guidelines collaboratively with legal and security 3️⃣ Create custom prompt libraries like this product gap analysis: Compare our [Product] with [Competitor Product]: - Our feature set: [features] - Our target customer: [ICP details] - Our pricing model: [structure] Looking ahead, the competitive edge will come from multimodal intelligence (analyzing competitor videos and presentations via TwelveLabs), industry-specific AI (@BioSciAI @CognitionIP), and continuous monitoring (Kompyte by Semrush, Contify). The executives who win aren't just using these tools - they're creating systematic approaches to gathering, validating, and applying AI-generated competitive insights within clear ethical boundaries. What's your experience using AI for competitive intelligence? Have you been able to find other practical tools or prompts? Share in the comments! #CompetitiveIntelligence #AIStrategy #Leadership #ChatGPT #BusinessIntelligence #ExecutiveLeadership #FutureOfWork #Innovation #DigitalTransformation #GenAI #LinkedInLearning #CEOlife #BusinessGrowth #DataDriven #StrategicLeadership #TechTrends #MarketIntelligence #DecisionMaking #ArtificialIntelligence #ContentCreator

Outsmarting Competitors Starts With Understanding Them Knowing what your rivals are doing isn’t enough. To stay ahead, you need to understand why they act, how they think, and what they’ll do next Enter Porter’s Four Corners Analysis—a strategic tool that goes deeper than surface-level competitor tracking. ☑ The Four Corners of Competitive Insight: 1️⃣ Drivers (Motivation) ↳ What are their long-term goals? ↳ What internal or external forces are pushing their strategy? 2️⃣ Current Strategy ↳ How are they competing today? ↳ What’s their positioning, focus, and resource allocation? 3️⃣ Capabilities ↳ What resources, skills, and strengths do they have? ↳ Can they realistically achieve their ambitions—or are there gaps to exploit? 4️⃣ Management Assumptions ↳ What beliefs guide their decisions? ↳ Are they making flawed assumptions about the market or competitors? ☑ Why This Matters: ↳ Predict moves before they happen—and respond proactively. ↳ Spot weaknesses between ambition and ability. ↳ Make smarter strategic bets on pricing, products, and market entry. The real advantage isn’t just tracking competitors—it’s understanding their logic so you can outthink them. P.S. If strategy and competitive intelligence interest you, follow me for more insights.

If you aren't using Reasoning and Deep Research daily - you need to start today. Deep research is a powerful tool that businesses can use to gain a competitive edge, optimize decision-making, and uncover hidden opportunities. Here are ways businesses can leverage deep research and reasoning to their advantage: 📌 Market Analysis & Trend Prediction - Identify emerging trends before competitors. - Understand shifting consumer preferences through sentiment analysis. - Forecast industry disruptions and plan accordingly. 📌 Competitive Intelligence (🎥 below breaks this one down) - Analyze competitors’ strategies, pricing, and product launches. - Identify gaps in the market that competitors haven’t addressed. - Reverse-engineer successful marketing campaigns and tactics. 📌 Customer Insights & Behavioral Analysis - Understand what truly drives customer decisions beyond surface-level feedback. - Use deep-dive research on customer complaints to improve satisfaction. - Segment audiences based on behavioral patterns, not just demographics. 📌 Product Development & Innovation - Identify unmet needs through ethnographic research and user testing. - Analyze patent filings to stay ahead of innovation trends. - Use scientific and technical research to improve product materials or designs. 📌 Pricing Optimization & Revenue Strategy - Analyze pricing psychology and competitors’ elasticity models. - Use conjoint analysis to determine which product features customers value most. - Conduct deep pricing research on customer willingness to pay. 📌 Supply Chain & Vendor Optimization - Research alternative suppliers for cost savings and sustainability. - Analyze geopolitical risks that could impact supply chains. - Use blockchain data to verify ethical sourcing and compliance. 📌 Mergers, Acquisitions & Partnerships - Perform due diligence on potential acquisitions to uncover hidden risks. - Analyze company financials, market position, and employee sentiment. - Research cultural fit and integration risks before making a deal. 📌 Marketing & Advertising Effectiveness - Conduct A/B testing research beyond surface-level data. - Use neuromarketing studies to optimize ad creative and messaging. - Analyze long-term brand sentiment rather than just short-term ad clicks. 📌 Expansion & International Market Entry - Research cultural and legal differences before entering a new country. - Identify local consumer behaviors and preferences. - Analyze macroeconomic trends that could impact expansion success. It isn’t just about gathering information—it’s about extracting insights that drive strategic decision-making. Businesses that invest in rigorous research don’t just react to change; they anticipate it and capitalize on it before anyone else does.

6 competitive intelligence mistakes that kill deals: (and what do instead) Your real competition is hiding in plain sight: ↳ You're competing against "do nothing" and internal tools. ↳ Your champions lack the political power to close deals. ↳ Perfect products lose to "good enough" solutions. Here's what's really happening: 1. Phantom Competitors ↳ Track every "no decision" as competitive intel ↳ Ask about current processes, not just vendors 2. Buying Committee Blindness ↳ Map complete buying committee for every lost deal ↳ Find who said "no" and why - rarely who you think 3. Champion Weakness ↳ Audit champion strength before competitive positioning ↳ Always identify and nurture economic buyer relationship 4. Timing Blindness ↳ Track competitor sales cycles and seasonal patterns ↳ Map prospect budget approval windows in your CRM 5. Value Disconnect ↳ Interview customers about actual value realization ↳ Lead with financial impact, follow with features 6. Ecosystem Gaps ↳ Audit tech stack of every lost prospect ↳ Build partnerships where ideal customers already live The best competitive intel isn't about known rivals. It's about understanding complete decision landscapes. Which of these resonate the most? Let me know in the comments. ♻️ Repost to help your go-to-market teams. 🔔 Follow Ali Mamujee for more strategy & GTM tips.

In today's B2B landscape, a hard truth emerges: Data isn't just another asset—it's your company's lifeline. But here's what keeps me up at night: most companies are trying to compete with incomplete intelligence. Drawing from two decades in data strategy, I've watched countless organizations invest millions in cutting-edge tech while neglecting their data foundation. It's like building a skyscraper on quicksand. Recently, I challenged a traditional approach: Instead of another tech stack upgrade, we prioritized third-party data partnerships. We enriched our existing data with market intelligence, competitor insights, and buyer intent signals. The transformation was profound. Our blind spots became windows of opportunity. We spotted market shifts before they happened, identified hidden customer patterns, and built truly predictive models rather than reactive ones. Here's the reality: In B2B, you can't win today's battles with yesterday's intelligence. Third-party data enrichment isn't a luxury—it's survival. The question isn't whether you can afford to invest in enriched data partnerships, but whether you can afford not to. What hidden opportunities could your organization uncover with enriched data? Let's discuss below.

Let's talk about competitive research - but the kind that actually drives decisions. Instead of a tick box exercise, competitive analysis can be incredibly powerful if you keep a few things in mind: - Focus on the problem being solved, not just the feature list - Track the "why" behind competitor changes - Look for patterns in customer feedback (theirs and ours) - Remember: what competitors are doing is less important than what customers need The goal isn't to react - it's to understand the market deeply enough to lead it. What competitive insights have changed your product strategy? #ProductStrategy #CompetitiveAnalysis #ProductMarketing