Create a Competitor Analysis Report
Generate a structured competitor analysis with per-competitor strengths, weaknesses, and positioning recs.
This prompt produces a structured side-by-side analysis of your company against three named rivals, then ends with a concrete positioning recommendation and defensible differentiators. Use it to prep for a strategy offsite, a fundraising deck, or a repositioning decision. Because it forces the same four dimensions for every competitor — positioning, pricing, strengths, weaknesses — the output is genuinely comparable rather than an uneven set of notes, and the closing recommendation pushes past description into 'so what do we do.'
You are a market research analyst. Write a competitor analysis comparing [MY COMPANY] against [COMPETITOR 1], [COMPETITOR 2], and [COMPETITOR 3] in the [MARKET] space. For each competitor: (1) positioning and target customer, (2) pricing model, (3) top 3 strengths, (4) top 3 weaknesses. Conclude with a competitive positioning recommendation for [MY COMPANY] including 2-3 defensible differentiators.
What you can expect back
Notion - Positioning: all-in-one workspace for teams. Target: startups and SMBs. - Pricing: freemium, per-seat paid tiers. - Strengths: flexibility, collaboration, large template ecosystem. - Weaknesses: slow on large workspaces, steep setup, weak offline. Obsidian - Positioning: local-first markdown vault for power users. Target: individual knowledge workers. - Pricing: free for personal; paid sync/publish add-ons. - Strengths: speed, data ownership, plugin depth. - Weaknesses: collaboration is an afterthought; intimidating to beginners. Roam Research - Positioning: networked thought / bi-directional linking. Target: researchers, academics. - Strengths: backlinks, daily notes, query power. - Weaknesses: pricey, performance issues, smaller community. Recommendation for Drift Notes Own the 'fast, citation-aware notes for researchers' lane. Differentiators: native reference manager integration, offline-first reliability, and one-click export to academic formats — none of the three do all three well.
Illustrative example — your results will vary by tool and inputs.
Get sharper results
- 01Verify every pricing and feature claim against the competitors' live sites before you act — models can carry outdated tiers, so treat the output as a draft to fact-check.
- 02Give the model your own honest strengths and weaknesses too, so the recommendation accounts for your real constraints rather than an idealized version of you.
- 03Ask it to cite the customer segment each weakness matters to, since a weakness that only annoys power users may be irrelevant to your target buyer.
- 04Request a 'where not to compete' note — explicitly ceding ground is often more strategic than trying to beat rivals on their home turf.
- 05Pin the analysis to a date in your prompt and re-run it quarterly; competitor positioning and pricing drift fast.
Adapt it for your case
Ask for a single table with features as rows and all four companies as columns, marked supported / partial / missing.
Have it frame each competitor section around 'why a buyer chooses them over us' and 'why they leave them,' for sales enablement.
Focus only on pricing and packaging across competitors and recommend where your tiers should sit.
Common questions
Can the model pull current competitor data?
Only if it has live web access; otherwise it relies on training data that may be stale. Always verify specifics like price and feature availability yourself.
What if I have more than three competitors?
Run it in batches of three and ask for a final synthesis pass, or have it group competitors into tiers (direct, adjacent, substitute) first.
How do I make the differentiators actually defensible?
Ask it to test each against 'could a competitor copy this in a quarter?' — durable differentiators rest on data, network effects, or focus, not features alone.
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