The Best ChatGPT Prompts for Competitor Analysis

Competitor analysis is one of the most time-intensive activities in digital marketing. Collecting data, structuring comparisons, identifying strategic gaps: traditionally it requires hours of manual work. ChatGPT has changed the game — not because it replaces field research, but because it dramatically accelerates the structuring, hypothesis, and strategic synthesis phase.

After testing hundreds of prompts on this topic, I've identified a clear pattern: most users use ChatGPT in a way that's too vague for competitive analysis. Questions like "analyze my competitors" produce generic and unusable output. The prompts that really work provide specific context, desired output format, and precise strategic angle.

In this guide you'll find ready-to-use prompts, explained in their operating principles, plus tips for writing your own. Whether you're analyzing competitors for a startup, for an agency client, or to optimize your SEO strategy, these tools will give you an immediate advantage.

Ready-to-Use Prompts for Competitor Analysis

1. Competitive Positioning Mapping

Act as a senior strategic marketing consultant.
I'm analyzing the market [INSERT INDUSTRY, e.g., "HR software for Italian SMBs"].

My main competitors are:
- [Competitor 1]
- [Competitor 2]
- [Competitor 3]

Create a competitive positioning table comparing these players on:
1. Primary customer target
2. Main value proposition (max 15 words)
3. Price range (if known)
4. Main acquisition channels
5. Differentiating strength
6. Obvious weakness

After the table, write a 100-word paragraph identifying the "whitespace" — the market space not covered by any of these competitors.

Why it works: This prompt uses the principle of role prompting (assigning an expert role to ChatGPT) combined with a rigidly defined output structure. Specifying the number of table columns and the word limit for the value proposition forces the AI to be precise rather than vague.

Expected output: A well-structured Markdown table followed by competitive gap analysis. With GPT-4 the level of detail is noticeably superior.

Personalization tip: Add a column "Online review sentiment" and ask ChatGPT to base it on what it knows about public reviews on G2, Capterra, or Trustpilot for that industry.

2. Competitor Content Strategy Analysis

You are a content strategist specializing in SEO. Analyze the content strategy of [COMPETITOR NAME] in the [INDUSTRY] sector.

Based on what you know about this brand, answer the following questions:

1. What are the main topic clusters it covers with its content?
2. What is the prevailing tone of voice (e.g., educational, provocative, institutional)?
3. What content formats does it use predominantly (articles, videos, podcasts, free tools)?
4. Which keywords appear to be central to its organic SEO strategy?
5. Is there a format or topic it uses systematically that many competitors neglect?

Conclud with 3 content ideas you could create to differentiate yourself from this strategy, leveraging its blind spots.

Why it works: Numbered questions eliminate ambiguity and guide ChatGPT through a precise analytical framework. The final request for "3 differentiating ideas" transforms descriptive analysis into actionable strategic output.

Expected output: Structured point-by-point analysis, followed by three concrete content ideas with brief strategic rationale.

Personalization tip: If you have access to Semrush or Ahrefs, paste the competitor's keyword data directly into the prompt to get much more precise and data-grounded analysis.

3. Advanced Competitive SWOT Analysis

Create a competitive SWOT analysis to help me understand how to position myself relative to [MAIN COMPETITOR].

Context about my company:
- Industry: [INDUSTRY]
- Size: [e.g., 10-person startup / established SMB]
- Main advantage I believe I have: [e.g., price, technology, customer service]
- Target market: [e.g., Italian B2C e-commerce, mid-to-high range]

Now build the SWOT NOT for me, but for the competitor [NAME], from the perspective of how their customers and the market see them.

Then, for each quadrant of their SWOT, suggest how I could strategically leverage that information (e.g., how can I exploit their weaknesses? How should I protect myself from their strengths?).

Why it works: The perspective reversal — analyzing the competitor's SWOT rather than your own — is an advanced technique that produces much more useful insights. The explicit connection between each quadrant and personal strategic implications avoids purely descriptive output.

Expected output: A tabular SWOT for the competitor, followed by a "Strategic Implications" section structured in four sub-points.

Personalization tip: Run this prompt for your top 3 competitors, then use a subsequent prompt to ask ChatGPT to synthesize common patterns in their weaknesses.

4. Reverse Engineering the Value Proposition

Carefully read the following text, extracted from a competitor's website:

---
[PASTE HERE THE TEXT FROM THE COMPETITOR'S HOME PAGE OR "ABOUT US" PAGE]
---

Based solely on this text, answer:

1. Who does this brand mainly address? (describe the ideal customer in 3-4 characteristics)
2. What is the main problem it claims to solve?
3. What is their unique value proposition, expressed in one sentence?
4. What emotions or aspirations does it try to evoke in the reader?
5. What do they NOT say — in other words, what aspects of the product/service seem deliberately unmentioned?

Point 5 is the most important: strategic omissions often reveal weaknesses that the competitor prefers not to address.

Why it works: This prompt uses the technique of grounded textual analysis — providing the actual text instead of asking ChatGPT to "guess" eliminates hallucinations and produces analysis based on concrete data. The question about strategic omissions is an advanced insight that few use.

Expected output: Five numbered answers, with point 5 typically producing the most interesting and unexpected insights.

Personalization tip: Try pasting the competitor's pricing pages or FAQs as well — they often reveal more about where the brand feels "vulnerable" than the home page.

5. Competitor Review Analysis

You are a UX researcher specializing in voice-of-customer analysis.

Below I've collected some reviews of [COMPETITOR NAME] customers from [SOURCE, e.g., Google Reviews / Trustpilot / App Store]:

---
[PASTE 10-20 REVIEWS, both positive and negative]
---

Perform the following analysis:

1. **Overall sentiment**: What is the overall emotional score (positive/neutral/negative) and what is it focused on?
2. **Top 3 recurring compliments**: What do customers love most?
3. **Top 3 recurring complaints**: What problems emerge systematically?
4. **Expectation gap**: Is there a difference between what the brand promises (based on what you know of their marketing) and what customers actually receive?
5. **Opportunity for me**: How could I use this information to build a value proposition or marketing messages that attract this competitor's dissatisfied customers?

Present results concisely, using bullet points.

Why it works: This is one of the most powerful prompts in all of marketing. Competitor reviews are a goldmine of customer insights — and ChatGPT excels at qualitative text analysis. The final question transforms the analysis into concrete acquisition strategy.

Expected output: Structured analysis in five sections with clear bullet points. Point 5 often produces ideas for conquest campaigns ("switching campaigns") immediately usable.

Personalization tip: If you have many reviews, ask ChatGPT to group them by customer segment (e.g., "small businesses vs. large enterprises") to understand where the competitor underperforms with specific targets.

6. Advertising Strategy Benchmark

Act as a paid advertising expert with specialization in competitive analysis.

I'm trying to understand the advertising strategy of [COMPETITOR] in the [MARKET/COUNTRY] market.

Based on what you know about this brand, provide:

1. Which advertising channels do they use predominantly (Google Ads, Meta, LinkedIn, TikTok, etc.)?
2. What is their dominant advertising message — problem-solution, aspirational, comparative?
3. Do they use retargeting tactics or articulated funnel strategies?
4. Is there a creative angle or format (e.g., UGC, testimonials, demo video) they use systematically?

Then tell me: if I wanted to advertise in the same space with a budget 30% lower than their estimated spend, what "guerrilla advertising" strategy would you recommend to maximize visibility without competing directly on identical keywords and audiences?

Why it works: The question about reduced budget forces ChatGPT to think creatively and asymmetrically, producing differentiated strategies instead of simple competitor imitations. The budget constraint is an excellent mechanism for generating unconventional ideas.

Expected output: An analysis of the competitor's advertising strategy followed by 3-5 alternative positioning and targeting tactics.

Personalization tip: Integrate this prompt with real data from Meta Ad Library or Google Ads Transparency Center — paste the headlines and copy of ads you found for much more precise analysis.

7. Conversion Funnel Analysis

You are a conversion rate optimization expert. I want to understand the acquisition funnel of [COMPETITOR].

Here is the information I've collected by browsing their site:
- Main landing page: [DESCRIBE OR PASTE THE TEXT]
- Lead magnet offered (if present): [E.G., free ebook, trial, demo]
- Main call to action: [E.G., "Start free", "Book a demo"]
- Email sequence received after registration: [DESCRIBE IF AVAILABLE]

Based on these elements:
1. What is the logic of their funnel? (awareness → consideration → decision)
2. Where do you think they have the highest abandonment rate and why?
3. Which elements of their funnel are particularly effective?
4. What is missing or weak in their conversion sequence?
5. How could I build an alternative funnel that fills these gaps and captures leads they lose?

Why it works: Providing concrete observational data (the text you actually read while browsing the site) grounds the analysis in reality rather than producing generic speculation. The invitation to identify abandonment points produces high-value practical insights.

Expected output: Detailed funnel analysis with specific recommendations on how to build an alternative and superior acquisition funnel.

Personalization tip: Subscribe to the competitor's newsletter and their onboarding sequence, then paste the first 3-5 emails you receive into the prompt. Analysis of their email sequence reveals their entire nurturing strategy.

Prompt Engineering Tips for Competitive Analysis

1. Always provide real data when possible

ChatGPT doesn't have access to real-time data (unless you use the web search function). To get accurate analysis, paste real text — from the competitor's home page, their reviews, their ads. The difference in output quality is enormous.

2. Use format constraints to increase precision

Specifying exactly the output format ("table with 5 columns", "list of 3 points in max 30 words each") forces ChatGPT to be concise and structured. Prompts without format constraints tend to produce verbose prose with little strategic substance.

3. Separate descriptive from prescriptive analysis

The best prompts have two distinct phases: first "tell me what you see", then "tell me what I should do with this information". If you mix the two requests, you get mediocre output on both fronts.

4. Use "what's missing" and "what they don't say" questions

Questions about omissions and gaps are systematically more productive than questions about what's present. "What does this competitor not cover?" produces much more useful strategic insight than "what does this competitor do well?".

5. Chain prompts together in progressive analysis sessions

Don't try to do everything in one prompt. Use a ChatGPT session like a workshop: start with the overview, then deepen one specific aspect, then ask for strategic implications. Each follow-up message benefits from the context accumulated in the