SEO

Turn competitor SEO pages into content gaps

Compare competitor SEO topics, SERP intent, page types, and content gaps without pretending keyword data is complete.

Best use case

Use this prompt when the source set matches the job

Use this after you export pages, keywords, SERP notes, titles, headings, or sitemap samples.

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 SEO pages into content gaps

You are helping me analyze competitor SEO gaps.

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

SEO sources:
{{sources}}

Do not invent volume, difficulty, rankings, or traffic. If I did not provide a metric, mark it as unknown.

Analyze:
1. Topic clusters the competitor covers.
2. Page types they use, such as guides, tools, comparisons, glossary, category pages, or reports.
3. Search intent behind the strongest visible pages.
4. Gaps we can cover honestly.
5. Pages we should ignore because they do not fit our offer.
6. Evidence still needed before prioritizing.

Return a gap table with opportunity, why it matters, source evidence, content format, and verification needed.

- Use the provided SEO exports, SERP notes, or search results first. Calculate gaps from real URLs, titles, page types, and metrics instead of inventing volume or rankings.
- 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: ecommerce help desk
Competitor: fictional support platform called ReplyNest
Category: Shopify customer support
Sources: top sitemap URLs, 12 title tags, SERP notes for "shopify support automation"
Decision: choose 5 content pages to brief

What a useful answer should look like

Fictional example output

Gap: "Shopify return automation workflow"

Why it matters:
ReplyNest covers returns as a feature page, but not as a practical workflow. The SERP notes show people want process help, not only software choices.

Format:
Guide plus checklist.

Verification needed:
Check live SERP, current titles, and whether our product can support the workflow honestly.

Verification

Check whether the answer is useful

  • No made-up volume, ranking, or difficulty data appears.
  • Each opportunity has a matching page type.
  • The output distinguishes SERP competitors from business competitors.
  • The final priorities match your product and resources.
  • 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

  • Assuming a competitor's page is valuable because it exists.
  • Mixing branded and non-branded queries.
  • Skipping SERP checks before writing briefs.
  • 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