Landing pages

Review a competitor landing page section by section

Review a competitor landing page by audience fit, page order, proof, CTA, and conversion friction.

Best use case

Use this prompt when the source set matches the job

Use this when you have one complete landing page and want to improve your own page strategy.

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

Review a competitor landing page section by section

You are helping me analyze a competitor landing page.

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

Landing page source:
{{sources}}

Review:
1. First-screen message.
2. Audience and use case.
3. Section order.
4. Offer and CTA.
5. Proof and trust elements.
6. Objections handled and missed.
7. Where the page creates clarity or friction.

Return:
- Page map.
- Strongest conversion idea.
- Weakest section.
- 5 test ideas for my own page.
- Verification notes.

- Inspect the full landing page path first: first screen, section order, proof, offer, CTA, and post-click promise.
- 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.
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 Competitor The competitor you want to analyze. Use one competitor at a time when the source set is deep. 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: product analytics consultant
Competitor: fictional consultancy called DataSlope
Category: B2B analytics consulting
Sources: full landing page outline and CTA copy
Decision: rebuild our paid search landing page

What a useful answer should look like

Fictional example output

Strongest conversion idea:
The page turns "analytics help" into a narrow audit offer.

Weakest section:
The proof section lists logos but does not explain what changed for those clients.

Test idea:
Use a before/after diagnostic section before the consultation CTA.

Verification

Check whether the answer is useful

  • The page map follows the real source order.
  • CTA analysis includes what happens after the click, if known.
  • Test ideas are adapted, not copied.
  • The output lists what cannot be judged from the source.
  • 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

  • Judging a page from a screenshot crop only.
  • Calling a CTA weak without knowing the traffic source.
  • Forgetting that the competitor page may target a different audience.
  • 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.

Use next