TLDR: Optimize AI keyword research by refining inputs, focusing on niche-specific terms, and using additional tools like Topical Authority for better results.
This article is a summary of a You Tube video “The Problem With AI Keyword Research (and how to solve it)” by Income stream surfers
Key Takeaways:
- AI Limitations in Keyword Research: Chat GPT and similar tools can often provide broad or irrelevant keywords without proper prompting.
- Improving AI Outputs: Enhancing the quality of input prompts can yield better keyword suggestions.
- Niche Specificity: Specific and niche keywords are more effective than broad keywords for SEO.
- Example Keywords: “Timeless men’s style” is too broad, while “bespoke men’s suiting trends” is more effective due to multiple related search terms.
- Website Analysis: Providing AI with a URL allows it to understand the site’s content and suggest more relevant keywords.
- Refining Keywords: Continuously refine and specify keywords based on the website’s products and audience.
- Using Topical Authority: Tools like “Topical Authority” within Chat GPT can provide high-quality, specific keywords.
- Pillar and Sub-Pillar Pages: Establish main pillar pages and sub-pillar pages to structure content effectively.
- AHRefs for Verification: Use tools like AHRefs to verify keyword search volumes and difficulty.
- Content Creation: Once keywords are identified, create content that aligns with these keywords to improve SEO rankings.
