Reports

Create recurring competitor reports and dashboards

Define the reports, dashboards, metrics, refresh cadence, and owners for competitor tracking over time.

Best use case

Use this prompt when the source set matches the job

Use this when you want reporting that compounds instead of starting from zero every month.

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

Create recurring competitor reports and dashboards

You are my competitor intelligence operator.

Task: Design recurring competitor intelligence reports and dashboards.

My company: {{my_company}}
Competitors: {{competitor}}
Category: {{category}}
Decision I need to support: {{decision}}

Available sources, exports, URLs, files, screenshots, notes, and tool outputs:
{{sources}}

- 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.

Do the work:
1. Choose the recurring audience: founder, marketing, product, sales, or client.
2. Define metrics and qualitative signals that matter for that audience.
3. Create dashboard sections and report sections.
4. Set refresh cadence, source owners, and alert thresholds.
5. Define archive rules so historical competitor changes stay searchable.

Return:
- Dashboard blueprint.
- Weekly, monthly, and quarterly report formats.
- Source and owner table.
- Alert thresholds.
- Archive and naming convention.

Rules:
- Separate observed evidence, inferred signal, and recommended action.
- Put dates next to any recent or change-based claim.
- Cite URLs when you use web search or deep research.
- Name the tool, connector, MCP server, or export when you use one.
- Do not copy competitor creative. Translate the learning into our company context.
Open in ChatGPT Open in Claude Open in Gemini

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 Competitors One competitor, a short competitor set, or a tracked category. 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: agency serving ecommerce brands
Competitors: client competitor set
Sources: ads, emails, landing pages, SEO exports, pricing pages, product launches
Decision: productize monthly competitor reporting

What a useful answer should look like

Fictional example output

Dashboard sections:
Campaigns, SEO, offers, pricing, launches, messaging, and open questions.

Weekly report:
Only changes and alerts.

Monthly report:
Patterns, strategy implications, next campaign ideas.

Verification

Check whether the answer is useful

  • The output names the evidence behind each recommendation.
  • The output uses current sources, exports, or tool results where the task depends on fresh data.
  • The answer separates facts, estimates, and decisions.
  • The final next moves are specific enough to assign.

Mistakes

Mistakes that make this prompt weak

  • Asking for strategy before the source set is clear.
  • Mixing old screenshots with current claims without dates.
  • Copying competitor language instead of translating the insight.
  • Skipping verification because the answer sounds confident.

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.

Use next