Competitor analysis prompt builder
Asking an LLM “compare us to our competitors” gives you a vague, uneven answer. This builder turns your inputs — your product, a list of rivals, and the dimensions you care about — into a structured competitor-analysis prompt that forces the model to evaluate every competitor on the same axes, return a clean comparison format, cite its sources, and flag anything it is unsure about. The result is research you can actually act on and verify.
How it works
You describe your product, paste competitor names one per line, and select the comparison dimensions (pricing, features, positioning, weaknesses) plus any custom axes. You also choose an output format. The builder assembles a prompt that sets the model’s role as a market analyst, lists the competitors and dimensions explicitly, requires identical fields for each competitor, demands a source or a “no reliable source” note per claim, and asks for a final summary with a positioning recommendation. Everything runs in your browser; you copy the prompt and run it wherever you like.
Choosing the right comparison dimensions
The preset dimensions cover broad ground, but the most useful analyses usually include at least one market-specific axis. Here is how to think about each:
Pricing is the most requested dimension and the most likely to be inaccurate, because pricing often changes and models have knowledge cutoffs. Always verify pricing claims against the competitor’s live pricing page before acting on them.
Features works best when you are specific about which features matter. “Features” as a dimension often produces a long generic list; “real-time collaboration” or “offline mode” produces a directly comparable yes/no.
Positioning (who they target and how they describe themselves) is where LLMs actually excel — they can synthesize tone, ICP, and messaging from public sources quickly.
Weaknesses is useful but should be treated with care. Models tend to surface commonly-discussed weaknesses (from review sites) rather than structural ones. Pair with a search of recent customer reviews for more grounded signal.
Custom dimensions — compliance certifications, API availability, supported integrations, language support — are often what differentiate tools in a specific market and are worth adding explicitly.
Keeping findings credible
The citation requirement in the generated prompt is there because competitor facts age quickly and models can confuse similar-sounding products or recall outdated information. For any claim that would influence a significant decision — pricing comparison, feature availability, enterprise contract terms — treat an uncited model answer as a starting point for manual verification, not a final answer. A research-enabled model that can browse live pages will produce substantially more reliable output than one working from training data alone.
Tips and notes
- Prefer research-enabled models. Citations are far more reliable when the assistant can browse or search rather than recall from training data.
- Verify uncited claims. Treat any fact without a source as a lead to check, especially pricing and feature availability.
- Keep the competitor list tight. Three to six rivals produces sharper, more comparable output than a long list.
- Add custom dimensions. Market-specific axes like compliance or integrations often matter more than generic feature counts.