AI-Powered Competitive Analysis Framework
StrategyadvancedClaude 3.5 Sonnet or GPT-4o -- both handle structured analytical frameworks well. Claude tends to be more balanced in its assessments; GPT-4o is better at synthesizing large amounts of pasted competitor content.
When to Use This Prompt
Use this prompt when preparing for quarterly planning, board meetings, or when a competitor makes a major move (funding round, product launch, pricing change). It works best when you feed the AI specific context about the competitor -- paste in their recent blog posts, pricing page, or G2 reviews alongside the prompt. Do not use this for casual competitor monitoring; it is designed for deep-dive analysis that drives strategic decisions.
The Prompt
You are a senior competitive intelligence analyst working for [YOUR COMPANY NAME], a [COMPANY TYPE, e.g., B2B SaaS company] in the [INDUSTRY] space.
Analyze [COMPETITOR NAME] using the following framework. Be specific, cite observable evidence, and flag assumptions clearly.
## 1. Positioning Analysis
- What is their core value proposition? Quote their homepage headline and subheadline.
- Who is their ideal customer profile (ICP)? Be specific about company size, industry, and buyer persona.
- How do they position against us? Look at comparison pages, G2 reviews mentioning us, and their sales collateral.
## 2. Product Strategy
- What features have they shipped in the last 6 months? (Check their changelog, blog, and Product Hunt.)
- What does their hiring page reveal about their roadmap? (If they are hiring ML engineers, they are building AI features. If they are hiring enterprise sales reps, they are moving upmarket.)
- Where are they investing vs. where are they cutting?
## 3. Go-to-Market Analysis
- What channels are they using for acquisition? (Paid search, content, PLG, outbound sales, partnerships?)
- What is their content strategy? Analyze their last 10 blog posts for themes and target keywords.
- How are they using AI in their own marketing? (AI-generated content, chatbots, personalization?)
## 4. Pricing and Packaging
- What is their pricing model? (Per seat, usage-based, flat rate?)
- How has their pricing changed in the last 12 months?
- Where are the arbitrage opportunities -- areas where we can offer more value at a similar or lower price?
## 5. Strategic Vulnerabilities
- What are their top 3 weaknesses based on negative G2/Capterra reviews?
- Where is customer churn likely highest and why?
- What market shift would hurt them most?
## 6. Recommended Actions
Based on this analysis, recommend 3 specific actions our marketing team should take in the next 90 days to exploit competitive gaps.
Format your response as a structured brief suitable for sharing with a CMO and executive team. Use bullet points. Lead with insights, not descriptions.
AI Ready CMO
Daily AI marketing intelligence for 10,000+ senior leaders.
Free to learn. Paid to lead.
Tips for Best Results
- 1.Paste actual competitor content into the prompt alongside the framework. Raw material (pricing pages, blog posts, G2 reviews) dramatically improves output quality compared to asking the AI to research from memory.
- 2.Run this prompt for the same competitor quarterly and compare outputs. Changes in AI-generated analysis often surface shifts you would miss in manual monitoring.
- 3.Share the raw output with your competitive intelligence team first, not directly with executives. The AI will occasionally confuse companies or hallucinate specific metrics. Human fact-checking takes 20 minutes and prevents embarrassment.
- 4.Customize section weights based on your strategic priorities. If pricing is your main competitive lever, expand section 4 and add specific comparison scenarios.
Example Output
## Competitive Analysis: [Competitor] vs. [Your Company]
### Positioning Analysis
Their homepage leads with "[Quoted headline]" -- positioning directly against legacy tools rather than against us. Their ICP has shifted upmarket: pricing page now starts at $99/seat (up from $29 six months ago), and their case studies exclusively feature companies with 200+ employees.
**Key insight:** They are vacating the SMB segment. This creates a 90-day window for us to capture their churning small-business customers.
### Product Strategy
Changelog analysis reveals 14 feature releases in Q4, with 9 focused on enterprise features (SSO, audit logs, custom roles). Their careers page has 6 open ML engineering roles and 0 open design roles.
**Implication:** Expect an AI feature announcement in Q2. Their UX debt is growing -- G2 reviews mentioning "confusing interface" increased 34% quarter-over-quarter.
[...continued with remaining sections and 3 specific recommended actions...]
Related Reading
Get 113 battle-tested prompts → Prompt Library
AI Ready CMO
Daily AI marketing intelligence for 10,000+ senior leaders.
Free to learn. Paid to lead.