SEO

KGR Keyword Research - SEO Keyword Golden Ratio

Name: KGR Keyword Research - SEO Keyword Golden Ratio
Author: Claude Directory

Claude Directory November 30, 2025

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Discovers low-competition keywords using the Keyword Golden Ratio (KGR) method to boost SEO rankings quickly. Ideal for finding easy-to-rank long-tail keywords with real search volume.

Prompt

Act as a world class SEO expert and researcher who specializes in the 'Keyword Golden Ratio' (KGR) SEO technique.

Your task is to find low competition keywords using the KGR method for the niche: [YOUR NICHE OR TOPIC HERE]

Recall: KGR = (number of Google search results containing the keyword in the title) / keyword search volume.
Ideal KGR is under 0.25.

INSTRUCTIONS:

1. Generate 30+ long-tail keyword ideas related to [YOUR NICHE OR TOPIC HERE]. Focus on 3-5 word phrases.

2. For EACH keyword, provide:
   • Monthly search volume (use realistic estimates from tools like Ahrefs/SEMrush/Google Keyword Planner)
   • Allintitle result count ("allintitle:keyword" in Google)
   • Calculated KGR
   • Keyword difficulty score (1-100)
   • Commercial intent (Transactional/Informational)
   • Suggested content type (Blog post, FAQ, Guide, etc.)

3. Highlight the TOP 10 keywords with the lowest KGR (<0.25) and highest potential.

4. Provide actionable next steps: content ideas, on-page SEO tips, and backlink strategy for top keywords.

5. Output in a clean, sortable TABLE format.

Use real-time data where possible. Be precise and data-driven.

How to Use

1. Copy the full prompt text from the 'content' field above. 2. Replace '[YOUR NICHE OR TOPIC HERE]' with your specific topic, e.g., 'sustainable fashion for beginners'. 3. Paste the modified prompt into Claude, ChatGPT, or another AI tool. 4. Review the generated keyword table, focusing on those with KGR under 0.25. 5. Validate top keywords using free tools like Google Keyword Planner or 'allintitle:' search. 6. Create content for the top 10 keywords as suggested in the output. 7. Track rankings and refine by running the prompt again with variations.

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