Reports
Turn competitor notes into a strategy report
Turn source notes into a competitor research report with findings, evidence, opportunities, risks, and next moves.
Best use case
Use this prompt when the source set matches the job
Use this when you need to brief a founder, client, team, or yourself after research.
Before you paste
Give the prompt sources, tools, dates, and a decision
- Paste raw notes with labels like homepage, pricing page, ad copy, SERP notes, offer page, export, screenshot, or review set.
- Add the date you checked anything that can change, especially ads, prices, search results, AI answers, and website pages.
- Tell AI which tools it can use: web search, deep research, files, code, browser, MCP, Semrush, Ahrefs, Similarweb, Panoramata, Sheets, or your own workspace.
- Tell AI what decision the answer should support, so it gives you a useful recommendation instead of a generic summary.
Modern AI workflow
Use the prompt with current AI tools, not only a blank chat box
- Use deep research or web search for current public evidence, then cite the URLs and date checked.
- Use file or data analysis for exports, screenshots, CSVs, and historical logs. Do not summarize rows by instinct.
- Use MCP/connectors when available so the AI can query Semrush, Ahrefs, Similarweb, Panoramata, Sheets, CRM, or your own files directly.
- Use agent mode for multi-step research: collect, extract, compare, verify, then write.
- Use artifacts, Canvas, tables, or charts when the output is a map, report, dashboard, or campaign plan.
Prompt
Turn competitor notes into a strategy report
You are helping me turn competitor research into a strategy report.
My company: {{my_company}}
Competitor or competitor set: {{competitor}}
Category: {{category}}
Decision I need to support: {{decision}}
Research notes:
{{sources}}
Build a report outline with:
1. Executive summary.
2. Competitor snapshot.
3. Website analysis.
4. SEO analysis.
5. Ad analysis.
6. Pricing analysis.
7. Messaging analysis.
8. Positioning map.
9. Opportunities.
10. Risks.
11. Recommended next moves.
12. Verification notes.
For each section, include the point, evidence, confidence level, and what to verify next.
- Use the source set to build tables, charts, or report sections when that makes the decision easier to review.
- Use any provided URLs, files, screenshots, exports, or connected tool outputs before analyzing.
- Cite the source, export, tool, or URL behind any claim that affects the decision. Edit the prompt first if needed. ChatGPT and Claude open prefilled; Gemini opens with the prompt copied.
Variables
Replace these fields before you run the prompt
| Variable | What it means | Example |
|---|---|---|
{{my_company}} Required | My company The company, product, store, or service you are comparing against the competitor. | A DTC skincare brand selling refillable face wash |
{{competitor}} Required | Competitor set One competitor or a short list of competitors. | Brand X |
{{category}} Required | Market or category The buying context. This helps the AI avoid comparing the wrong kind of business. | Premium skincare, France and UK |
{{sources}} Required | Sources and retrieval targets Paste collected sources, exports, screenshots, notes, URLs to check, or the MCP/tool datasets the AI should use. | Homepage copy, pricing page, top 5 ads, title tags, Semrush export, Ahrefs export, Similarweb notes, Panoramata campaign examples |
{{decision}} Required | Decision to support The action you need to take after the analysis. | Rewrite our landing page hero and offer comparison table |
Example
Use this example to match the right level of detail
Source notes you paste into AI
My company: B2B email platform
Competitor set: three fictional email tools
Category: email marketing SaaS
Sources: website notes, ad notes, pricing notes, SEO page list
Decision: plan positioning and content priorities What a useful answer should look like
Fictional example output
Executive summary:
The visible market is split between automation depth and ease of launch. None of the provided sources show a strong angle around ecommerce retention planning.
Confidence: medium.
Evidence: homepage messages, pricing pages, and SEO page lists.
Verify next: live SERPs, current ad libraries, and customer review language. Verification
Check whether the answer is useful
- Every section includes evidence and says how much to trust it.
- Recommendations are tied to the decision.
- Unknowns are visible.
- The report tells what to do next, not only what happened.
- Current claims include URLs, dates checked, and source confidence.
- Tool outputs, exports, and AI-generated inferences are clearly separated.
- The answer uses tables, charts, artifacts, or a report structure when that makes the decision easier.
Mistakes
Mistakes that make this prompt weak
- Making the report too long before deciding the audience.
- Hiding verification notes at the end.
- Turning every competitor strength into something to copy.
- Using the prompt like a chat-only summary when modern AI could search, analyze files, run tools, or schedule follow-ups.
- Letting the AI create a polished answer without showing the evidence trail.
Source notes
Use AI to collect data, then make it show the evidence
A good AI workflow can search, inspect pages, analyze exports, call MCP tools, compare screenshots, and build tables. Make it show URLs, dates, exports, screenshots, or connector results behind the answer before you trust the recommendation.
What you should do next
Run it once, then verify the useful parts
Replace the fields, paste a labeled source set, run the prompt, and check the answer before using it in a strategy report.