Market Intelligence Toolkit: Competitive Analysis Prompts

These competitive analysis prompts incorporate modern prompt engineering methods and proven intelligence frameworks to deliver clear, accurate, and actionable insights that support strategic decisions.

PROMPT 1: BUILD A 360° COMPETITOR PROFILE

You are a competitive intelligence analyst. Create a comprehensive competitor profile for [COMPANY NAME] as of [CURRENT DATE].

Input Requirements:
• Time frame: Past 12 months of activity
• Primary markets: [SPECIFY REGIONS] • Industry segment: [SPECIFY VERTICAL]

Analysis Framework:

1. Company Overview – Revenue/funding status, employee count and recent key hires, geographic presence

2. Product & Service Analysis – Core offerings with feature sets, pricing tiers (exact numbers), product update frequency

3. Market Position – Target customer segments, unique value proposition, market share estimates

4. Go-to-Market Strategy – Primary acquisition channels (with % breakdown), sales model (self-serve, enterprise, hybrid), partnership ecosystem

5. SWOT Analysis with Evidence – Strengths (cite 3 specific examples), weaknesses (based on customer reviews), opportunities (market gaps), threats (emerging competitors)

Output Format: Structured report with bullet points, data tables for pricing, and executive summary. Include confidence level (high/medium/low) for each data point and cite all sources.

PROMPT 2: DECODE BRAND MESSAGING & POSITIONING

Act as a brand strategist analyzing [COMPANY NAME]’s market positioning strategy.

Data Sources to Analyze: Homepage messaging, product pages (first 3 paragraphs), recent ad campaigns (last 90 days), social media bio and pinned posts, customer testimonials/case studies

Deliverables:

1. Messaging Architecture – Primary value proposition, three supporting proof points, target audience pain points, emotional triggers (top 5)

2. Positioning Map – Where they position vs. top 3 competitors, differentiation strategy, messaging gaps and vulnerabilities

3. Voice & Tone Analysis – Brand personality traits (5 descriptors), language complexity (grade level), power words frequency

4. Competitive Advantage Claims – Explicit comparisons made, implicit superiority suggestions, undefended positioning opportunities

Output: Present as messaging framework with direct quotes as evidence. Include a “counter-positioning opportunity” section with 3 specific recommendations.

PROMPT 3: COMPARE PRICING STRATEGIES

Conduct a strategic pricing analysis comparing [COMPANY 1], [COMPANY 2], and [COMPANY 3] in the [INDUSTRY] sector.

Required Analysis Components:

1. Pricing Structure Breakdown – Entry point pricing, tier progression logic, price-per-user vs. flat rate, annual vs. monthly differentials

2. Value Metrics Analysis – What drives pricing (users, features, usage), feature gating strategy, upsell triggers

3. Pricing Psychology Tactics – Anchoring strategies, decoy effects, charm pricing usage, discount patterns

4. Competitive Positioning – Price leader vs. premium positioning, value-to-price ratio comparison, hidden costs analysis

5. Strategic Recommendations – Optimal pricing position for new entrant, differentiation opportunities, price war avoidance strategies

Output Format: Comparison table with exact prices, psychological analysis narrative, and strategic playbook with 3 pricing scenarios (aggressive, balanced, premium).

PROMPT 4: AUDIT TRAFFIC AND GROWTH CHANNELS

You are a growth strategist. Analyze [COMPANY NAME]’s customer acquisition ecosystem using available data from the last 6 months.

Analysis Framework:

1. Traffic Distribution – Organic search (% and top keywords), paid search (estimated spend), direct traffic, social media (breakdown by platform), referral sources (top 10)

2. Growth Velocity Metrics – Month-over-month traffic changes, engagement rate trends, share of voice vs. competitors

3. Campaign Analysis – Identify 3 most successful campaigns, content types driving most engagement, conversion-focused pages

4. Channel Efficiency Estimation – Cost per acquisition by channel, channel scalability assessment, untapped channel opportunities

Output: Growth strategy dashboard format with percentages, trend arrows, and replication playbook listing 5 specific tactics to test immediately.

PROMPT 5: IDENTIFY CONTENT THAT CONVERTS

Perform a content conversion analysis for [COMPANY/BRAND] focusing on their highest-performing assets.

Research Scope: Last 6 months | Content types: Blog, video, whitepapers, webinars, social posts | Platforms: Website, YouTube, LinkedIn, industry publications

Analysis Requirements:

1. Performance Metrics Identification – Top 10 pieces by engagement, content with most backlinks, pieces featured in sales materials

2. Content Pattern Analysis – Format preferences, topic clusters that resonate, headlines that drive clicks (20 samples), content depth

3. Audience Psychology Insights – Problems being solved, aspirations addressed, fear/urgency triggers, social proof elements

4. Conversion Path Mapping – CTAs used in top content, lead magnet strategies, content-to-product bridge tactics

5. Competitive Content Strategy – Content gaps to exploit, topics to avoid, differentiation angles, distribution improvements

Output: Content strategy matrix with specific examples, engagement metrics, and 10 ready-to-execute content ideas with headlines and target keywords.

PROMPT 6: STUDY COMPETITOR PRODUCT EVOLUTION

Create a product evolution timeline and strategic analysis for [COMPANY NAME] from [START DATE] to present.

Data Sources: Product changelog/release notes, Wayback Machine for feature comparisons, press releases, customer reviews, developer documentation changes

Analysis Components:

1. Evolution Timeline – Major releases (with dates), feature additions/deprecations, pricing model changes, platform expansions

2. Strategic Pivot Analysis – Original vision vs. current state, abandoned initiatives, market response to changes

3. External Influence Mapping – Competitive responses, market events triggering changes, technology enablers, regulatory compliance

4. Innovation Velocity – Release frequency trends, time from announcement to launch, beta testing patterns

5. Future Trajectory Prediction – Next logical features, market gaps they’re moving toward, potential acquisition targets, technology investments

Output: Visual timeline with annotations, strategic insights document, and prediction model with 70% confidence threshold for next moves.

PROMPT 7: ASSESS CUSTOMER SENTIMENT

Conduct a comprehensive sentiment analysis for [COMPANY NAME/PRODUCT] across multiple channels.

Data Collection: Review sites (G2, Capterra, Trustpilot – last 12 months), social media (Twitter/X, LinkedIn, Reddit), forums, support channels | Minimum sample: 100 data points

Analysis Framework:

1. Sentiment Distribution – Overall NPS estimate, sentiment by channel, trend over time (quarterly)

2. Theme Extraction – Top 5 praise themes (with frequency), top 5 criticism themes (with severity scores), feature requests patterns

3. Emotional Driver Analysis – Trust indicators, convenience factors, innovation perception, value perception

4. Segment-Specific Insights – Enterprise vs. SMB sentiment, new vs. long-term customer differences, industry-specific patterns

5. Competitive Sentiment Comparison – Relative NPS positioning, switching reasons, head-to-head preference drivers

Output: Sentiment dashboard with verbatim quotes, statistical confidence levels, and opportunity matrix highlighting 5 specific positioning advantages to exploit.

PROMPT 8: REVERSE ENGINEER THEIR FUNNEL

Map the complete customer journey and conversion funnel for [COMPANY NAME] from first touch to retention.

Funnel Stages to Analyze:

1. Awareness Stage – Traffic sources, first-touch content types, brand discovery mechanisms

2. Interest/Consideration – Lead magnets, email nurture sequences, retargeting strategies, content progression paths

3. Decision Stage – Trial/demo process, sales enablement tools, objection handling, urgency/scarcity tactics

4. Purchase/Conversion – Checkout process steps, payment options, onboarding flow, upsell timing

5. Retention/Advocacy – Customer success touchpoints, community building, referral programs, expansion revenue tactics

Technical Analysis: Conversion points (form fields, button text), friction identification, A/B tests detected, personalization elements

Output: Visual funnel diagram with conversion rate estimates, friction point analysis, and exploitation strategy with 10 specific optimization opportunities ranked by impact.

PROMPT 9: BENCHMARK MARKETING EFFICIENCY

Calculate and compare marketing efficiency metrics for [COMPANY NAME] against industry benchmarks.

Efficiency Metrics to Calculate:

1. Traffic Efficiency – Cost per thousand visitors (CPM estimate), organic vs. paid ratio, traffic-to-lead conversion estimate

2. Content Efficiency – Output per team member, engagement per piece, content velocity trend

3. Social Media Efficiency – Engagement rate by platform, follower growth rate, share of voice percentage

4. Campaign Performance – Viral coefficient of content, PR mention frequency, brand search volume trends

5. ROI Indicators – Customer acquisition cost (CAC) estimate, marketing-influenced pipeline, marketing spend as % of revenue

Comparative Analysis: Benchmark against 3 similar-sized competitors, industry average comparisons, best-in-class gaps

Output: Efficiency scorecard with specific metrics, performance gaps highlighted, and 5 efficiency improvement tactics with expected impact ranges.

PROMPT 10: PREDICT COMPETITOR NEXT MOVES

Using strategic signals analysis, forecast [COMPANY NAME]’s likely moves in the next 6-12 months.

Signal Categories to Analyze:

1. Talent Signals – Recent senior hires, job posting patterns, team expansion areas, departures and implications

2. Technology Signals – Patent filings, tech stack changes, API/integration announcements, developer hiring focus

3. Market Signals – Partnership announcements, geographic expansion indicators, industry event participation, PR/messaging shifts

4. Financial Signals – Funding round implications, pricing experiments, investment priorities, cost-cutting indicators

5. Product Signals – Beta programs, feature voting/roadmap hints, support documentation updates, community feature requests

Prediction Framework: Assign probability scores (high/medium/low), timeline estimates, impact assessment on market, strategic response options

Output: Top 5 predicted moves with confidence levels, timeline visualization, impact/probability matrix, preemptive response playbook with 3 scenarios (aggressive, defensive, collaborative), early warning indicators to monitor.

COMPRESSED 1 360° Profile
“Analyze [COMPANY] comprehensively. Include: revenue/funding, employees, products/pricing tiers, target segments, acquisition channels, SWOT with evidence. Output: Structured report with confidence levels per datapoint”.

COMPRESSED 2 Brand Messaging
“Decode [COMPANY]’s positioning: Extract value proposition, emotional triggers, differentiation vs top 3 competitors, messaging gaps. Analyze homepage, ads, social bios. Output: Framework with quotes + 3 counter-positioning opportunities”.

COMPRESSED 3 Pricing Comparison
“Compare pricing for [COMPANIES 1-3]: Entry points, tier logic, psychological tactics (anchoring/decoy), value metrics. Output: Comparison table + 3 pricing scenarios (aggressive/balanced/premium)”.

COMPRESSED 4 Traffic & Growth
“Map [COMPANY]’s acquisition channels (last 6 months): Traffic sources %, top campaigns, growth velocity, channel efficiency. Output: Dashboard format + 5 replication tactics”.

COMPRESSED 5 Content Performance
“Identify [COMPANY]’s top-converting content: Engagement metrics, topic patterns, audience psychology, CTAs. Scope: 6 months. Output: Strategy matrix + 10 content ideas with headlines”.

COMPRESSED 6 Product Evolution
“Timeline [COMPANY]’s product changes from [DATE]: Major releases, pivots, external influences, innovation velocity. Output: Annotated timeline + future predictions (70% confidence)”.

COMPRESSED 7 Customer Sentiment
“Analyze [COMPANY] sentiment across reviews/social: NPS estimate, praise/criticism themes, emotional drivers, segment differences. Sample: 100+ datapoints. Output: Dashboard + 5 positioning advantages”.

COMPRESSED 8 Funnel Reverse Engineering
“Map [COMPANY]’s conversion funnel: Awareness→Interest→Decision→Purchase→Retention. Identify CTAs, friction points, personalization. Output: Visual diagram + 10 optimization opportunities ranked”.

COMPRESSED 9 Marketing Efficiency
“Calculate [COMPANY]’s efficiency metrics: Traffic/content/social ROI, CAC estimate, growth velocity vs 3 competitors. Output: Scorecard + 5 improvement tactics with impact ranges”.

COMPRESSED 10 Next Moves Prediction
“Forecast [COMPANY]’s 6–12-month trajectory using: Hiring patterns, partnerships, product signals, funding implications. Output: Top 5 predictions with confidence + preemptive response playbook”.

Company Intelligence
Prompts 1, 6, 10

Market Positioning
Prompts 2, 3, 7

Growth Analysis
Prompts 4, 5, 9

Customer Journey
Prompts 7, 8

✓ Batch Processing: Run multiple compressed prompts simultaneously for comprehensive coverage

✓ Progressive Depth: Start with compressed, expand specific areas as needed

✓ Industry Customization: Add sector-specific terms in brackets for precision

✓ Output Aggregation: Combine outputs from multiple prompts into executive dashboards

✓ Regular Updates: Re-run quarterly with updated parameters for trend tracking

For your industry focus, consider these modifications:

• Replace [COMPANY] with hotel chains, OTAs, or travel tech firms
• Add location specificity for regional analysis
• Include seasonality parameters in growth audits
• Focus sentiment analysis on TripAdvisor, Google Travel reviews
• Emphasize loyalty program comparisons in pricing analysis