Competitive analysis is a necessary process — but an exhausting one. In the past, it meant hours spent digging through websites, social media, and reports just to gather scattered data. By the time the spreadsheet was ready, the information had already gone stale, and there was simply no energy left for actual strategy.

Today, AI transforms this process from a grueling marathon into something far more manageable. In this article, we’ll break down how to write prompts that yield precise and actionable insights.

The MIM:AGENCY team has prepared a set of queries to help you understand competitor strategy, analyze your industry, conduct a SWOT analysis, map the sales funnel and customer journey, and identify acquisition channels and unique selling propositions.

One important reminder: insights generated by AI should always be verified and supplemented with real-world data. That’s when competitive intelligence stops being routine and becomes a genuine source of strategic insight.

How to Write Effective Prompts

Before diving into specific examples, it’s worth refreshing the fundamentals. Without them, the result tends to resemble assembling furniture without instructions — something comes together, but you’re left with the nagging feeling that something went wrong.

Here are a few principles that will help you get real value from AI rather than generic filler.

  • Give the AI an expert role. Think of it as hiring an analyst who never gets distracted and is always ready to work. Let the model become a specific specialist with a clear assignment. For example: “You are a competitive intelligence analyst. Your task is to break down three competitors and prepare a report with actionable insights.” Assigning a role sets the focus: a marketer will concentrate on marketing, a UX specialist on product usability.
  • Provide as much context as possible. The more precise the situation description, the more useful the response. Explain who you are, what market you’re analyzing, and why. Describe your product, list your competitors, and specify exactly what you want to know. It’s useful to include a dedicated Context section in your prompts so the model understands the perspective from which to evaluate competitors.
  • Structure your request. A list or clearly defined sections helps the model work through each point without skipping anything. For example: positioning, product, pricing, marketing, reviews. This format acts like a questionnaire — AI fills in every section in order.
  • Specify the desired output format. Need a list? Ask for one. Want a table? Say so. Looking for a brief summary or a detailed breakdown with examples? State that upfront. The more precisely you describe the format you want, the less editing you’ll need afterward.
  • Account for data gaps. AI doesn’t always have exact figures — revenue, for instance, or details about closed product features. Add an instruction to your prompt: “If data is unavailable, make a reasoned assumption and label it as an estimate.” This keeps your report honest: you’ll know what’s a fact and what’s a hypothesis.
  • Iterate and refine. A perfect answer on the first try is rare. Sharpen your queries: “Tell me more about their weaknesses” or “What other channels are they using?” The model will retain the context and deepen the analysis. You can also adjust the format to suit different needs — from a full-length review to a concise executive summary.

Following these principles turns AI into an assistant that thinks the way you need it to. Instead of templated responses, you get structured analysis with concrete conclusions.

Rather than asking a vague question like “What do you know about Competitor A?” — give a clear brief: “You are an analyst. Analyze Competitor A on the following points. Conclusions must be specific — no generic phrasing — with facts cited. Include 2–3 recommendations at the end.”

Prompt: Competitor Strategy Analysis (Business Model + 4Ps + Key Moves)

ROLE: You are a Senior Competitive Intelligence Analyst.

COMPANY CONTEXT: Our company: [name], product/service: [brief description], market/geography: [market, regions], ICP: [customer profile]. Competitor(s) to analyze: [list + URLs], focus period: [e.g., last 12 months].

TASK:

  1. Build a strategic profile of the competitor: business model, core value proposition, customer segments, differentiators.
  2. Break down the 4Ps (Product / Price / Place / Promotion) with facts and examples.
  3. Identify winning moves: campaigns, partnerships, pivots — and formulate a hypothesis as to why they made each one.

SOURCES: Website/blog/documentation, pricing/FAQ pages, press releases/interviews/news, social media, job listings.

OUTPUT FORMAT:

  • Executive summary (5 bullet points)
  • 4P table (2–4 facts per element + source links)
  • “Winning moves”: 3–5 strong plays (what they did — effect — source)
  • “What this means for us”: 3 opportunities and 3 risks with short 30–60 day action items
  • Assumptions & Gaps: what is unknown and what to verify
  • Confidence score (0–100) and how to increase it

RULES: Only verified statements; every non-obvious claim must include a source. If data is unavailable, label it “Estimate” and explain the reasoning.

Prompts for Industry Analysis

Prompt: Consulting Framework

ROLE: You are a strategic consultant of McKinsey, BCG, and Bain caliber. Imagine you have been hired to prepare a $300,000 strategic analysis for a client in the [INDUSTRY] sector.

TASK:

  • Analyze the current state of the market
  • Identify key trends, emerging threats, and disruptive innovations
  • Profile the top 3–5 competitors: business models, strengths/weaknesses, pricing, channels, positioning
  • Apply frameworks: SWOT, Porter’s Five Forces, strategic value chain
  • Prepare a one-page strategic brief with recommendations

Present everything in concise bullet points or tables ready to drop into slides. Think like a McKinsey partner presenting to C-suite executives.

Focus market: [INSERT INDUSTRY OR MARKET]

Prompt: Deep Competitive Analysis

ROLE: Act as a senior consultant preparing a competitive analysis for a client with $10B in revenue.

TASK:

  • Analyze the overall industry landscape
  • Build profiles of 5 key players: products, pricing, differentiation, customer base, go-to-market strategy
  • Use comparison and positioning matrices
  • Identify gaps and “white spaces” in the market
  • Recommend 3 strategic opportunities for a new entrant

The output should resemble a slide from a consulting presentation: executive summary, key findings, and structured frameworks in text format.

Prompt: Strategic Advisor to the CEO

ROLE: You are a strategic advisor to a startup that wants to outmaneuver McKinsey-level consultants.

TASK:

  • Conduct a deep market analysis
  • Summarize key trends and inflection points from the past 12 months
  • Analyze 3–5 market leaders: SWOT, pricing, positioning, target audience
  • Identify hidden risks: economic, regulatory, technological
  • Outline 3 concrete go-to-market strategies

Present results in a presentation format with headings and bullet points. Begin with an executive summary block, followed by findings grouped under slide titles.

Prompt: Competitor SWOT Analysis (with Metrics and Benchmarks)

ROLE: You are a competitive intelligence marketing analyst.

INPUT: Competitor: [name + URL]. Our industry/segment: [description]. Benchmarks if available: [metrics/sources].

TASK: Compile a SWOT based on publicly available data, with brief explanations and source links. Include quantitative metrics where possible.

FORMAT:

  • Short summary (3–4 bullet points)
  • SWOT table (minimum 4 points per quadrant) — fact/signal, explanation, source
  • “Implications for us”: 3 strong moves, 3 areas of attack
  • List of assumptions and data gaps
  • Confidence score (0–100)

RULES: Label estimates as “Estimate (~)”. Do not fabricate figures — if data is unavailable, state that clearly.

Always verify figures and facts against reliable sources. AI may fill gaps with assumptions — what matters is that it clearly distinguishes between hypothesis and fact.

Prompt: Customer Journey, Sales Funnel, and Competitor CRM Approach

ROLE: You are a GTM/CRM analyst.

INPUT: Competitor: [name + URL], product: [what they sell], model: [SaaS/eCommerce/B2B]. Stages: AIDA + post-purchase.

TASK:

  1. Map the customer journey across AIDA: attention channels, interest mechanisms, desire triggers, CTAs and offers.
  2. Provide a UX assessment of the key on-site journey: offer clarity, navigation, friction points.
  3. Evaluate the post-purchase loop using indirect signals: reviews, help center, community, SLA.

FORMAT:

  • AIDA map (table: stage — observation — examples — source)
  • UX checklist (5–8 points: what works / what hinders conversion)
  • Retention indicators: 5 signals
  • “Where they’re losing conversions”: 3 hypotheses and how we can exploit them
  • Research plan: what to gather for verification

Prompt: Acquisition Channels, Positioning, and USP

ROLE: You are a brand and channel strategist.

INPUT: Competitor X [URL], optionally compare with A/B. Our target audience: [description], region: [countries/languages].

TASK:

  1. Acquisition channels: SEO/PPC/SMM/PR/partnerships/events — high/medium/low weight with supporting evidence.
  2. Positioning and tone: key messages, pain points/benefits, communication style with quotes.
  3. USP: what sets them apart from competitors, with evidence.
  4. Recommendations: where a quick win exists and how to counter their strengths.

FORMAT:

  • Channel table: channel — weight — activity examples — source
  • Messaging table: promise — audience — supporting arguments — source
  • Comparative USP: 3–5 points
  • 30/60-day action plan: 5 concrete steps
  • Unknowns & Confidence

AI vs. Traditional Competitive Intelligence Tools

How does an AI-driven approach compare to classic tools like Similarweb, Semrush, Kompyte, and others? In practice, they don’t compete — they complement each other. The tools deliver numbers and charts; AI translates all of that into plain language with conclusions and recommendations.

What We CompareTraditional ToolsAIBest Approach
Data vs. InsightsPrecise figures: traffic, keywords, backlinksTurns numbers into a narrative and delivers recommendationsAI for interpreting data from tools
Speed of UpdatesTracks changes in real timeMay not know the latest events, but analyzes implicationsTools for facts, AI for strategic interpretation
Accuracy vs. CreativityAbsolute precision with no conclusionsMay err on figures, but builds hypothesesNumbers from tools, insights from AI
SpeedRequires manual workProduces a draft analysis in minutesAI for rapid analytics
Combined ValueProvides only data and chartsBuilds hypotheses when facts are missingTogether they deliver the full picture

The bottom line is simple: tools provide the numbers and facts; AI provides the meaning and conclusions — together, they deliver a complete strategic analysis.

Conclusion

AI won’t replace sound strategy or the judgment of an experienced analyst. But it will make competitive intelligence significantly less draining and far more productive. Instead of endless spreadsheets, you get a tool that spots connections and surfaces competitor weak points. All that’s left is to act faster than they do.