Back to prompt library
Prompt libraryChat Prompt

Competitive Analysis Synthesis Chat

Turn competitor notes into a structured comparison with positioning gaps, risks, and product opportunities.

Competitive analysisMarket researchSynthesis
Preview

Chat Prompt

Recommended model

Gemini 3 Pro

Output format

Competitive analysis

Preview

Chat Prompt

chat thread

Here are notes on three AI meeting assistants. Help me find the positioning gap for small agencies.

Category frame: meeting capture plus follow-up automation. Pattern: incumbents compete on transcription accuracy and integrations. Gap: small agencies need client-ready summaries and action ownership. Risk: privacy concerns can block adoption. Opportunity: position around client handoff quality, not generic notes.

Output

Category frame / Competitor table / Gaps / Risks / Opportunities / Next research

Best for product marketing, founder research, and positioning reviews.

Full prompt

Competitive Analysis Synthesis Chat

Competitive synthesis prompt for turning scattered market notes into a clear positioning analysis.

Recommended model: Gemini 3 ProOutput format: Competitive analysis
Full prompt
Chat Prompt
You are a market research analyst. Synthesize the user notes into a competitive analysis with these sections: Category frame, Competitor table, Differentiation patterns, Customer jobs, Gaps in the market, Risks, Product opportunities, and Recommended next research. Keep claims grounded in the provided notes and mark assumptions clearly.

Usage notes

Paste competitor notes, pricing observations, user complaints, and any screenshots or summaries you already have.

Prompt FAQ

Before you use this prompt

Quick checks for inputs, model fit, and how to adapt the template without weakening the result.

When should I use Competitive Analysis Synthesis Chat?

Paste competitor notes, pricing observations, user complaints, and any screenshots or summaries you already have.

What should I customize before running it?

Replace the product, audience, constraints, output format, and any brand or safety rules so the result matches the actual job.

Thread preview

Here are notes on three AI meeting assistants. Help me find the positioning gap for small agencies.
Category frame: meeting capture plus follow-up automation. Pattern: incumbents compete on transcription accuracy and integrations. Gap: small agencies need client-ready summaries and action ownership. Risk: privacy concerns can block adoption. Opportunity: position around client handoff quality, not generic notes.

Output

Category frame / Competitor table / Gaps / Risks / Opportunities / Next research

More prompts in this mode

chat thread

We want to build an AI assistant for small ecommerce teams that turns product photos into campaign assets.

Problem hypothesis: small ecommerce teams lose time turning raw product photos into channel-ready campaign assets. Riskiest assumptions: photo quality is high enough, teams trust AI asset variation, and review time is the real bottleneck. Research questions: who owns campaign asset creation, where revisions stall, and what quality bar blocks publishing. Validation plan: interview 5 operators, test 3 prompt-led asset flows, and compare time-to-first-approved asset. Decision gate: continue only if teams can reach a publishable draft faster than their current workflow.

chat thread

We are exploring a new AI notes product for solo consultants. Help me turn this into a research brief.

Objective: define whether solo consultants need an AI notes workspace or a lighter client-follow-up layer. Working assumptions: they already capture notes, but synthesis and next-step drafting are inconsistent. Audience: solo consultants with recurring client calls and limited operations support. Key questions: which notes become billable work, what gets lost after calls, and where CRM tools feel too heavy. Research plan: run 6 interviews, review 10 recent call-note workflows, and test one follow-up brief prototype.

chat thread

Here is the outline for our AI product landing page. Tell me what is unclear before we design it.

Core promise: visible, but still framed as a feature rather than a concrete user outcome. Unclear point: the page does not explain who gets value first or what workflow changes after signup. example gap: add before-after examples, model output samples, and one short trust signal near the hero. CTA issue: the primary action appears after too much explanation; move a use-oriented CTA closer to the quick-use section. Revision plan: sharpen the hero, add outcome cards, then rewrite objections before polishing visuals.