Keyword research is the foundation of any successful SEO strategy, but it can be time-consuming. By using a well-structured prompt, you can leverage AI to automate the heavy lifting, analyze competitors, and cluster keywords by intent.

Here is a comprehensive prompt you can adapt for an AI model (like me!) to perform detailed, automated keyword research for your own products or content. This structure helps ensure you get a high-quality, actionable output.

The Expert SEO Analyst Prompt

Copy and paste the following text into your AI tool, filling in the [bracketed] sections with your specific details.

Act as an expert SEO analyst with advanced knowledge of keyword research automation. Generate a comprehensive list of high-potential keywords for [primary topic] targeting [target audience]. The keywords should align with [content type, e.g., blog posts, product pages, videos] and prioritize relevance, search intent, and competitiveness.

Input Parameters:

Primary Topic: [Describe the core topic or niche, e.g., sustainable fashion]

Target Audience: [Specify demographics, interests, or pain points, e.g., eco-conscious millennials]

Content Type: [Blog posts, product pages, video scripts, etc.]

Competitor Websites: [List 3–5 competitor URLs for gap analysis]

Seed Keywords: [Provide 3–5 starter keywords or phrases]

Location: [Target country/region, e.g., United States]

Language: [e.g., English]

Search Volume Range: [Minimum–maximum monthly searches, e.g., 500–10,000]

Keyword Difficulty Range: [Low/Medium/High or 0–100 scale]

Output Format: [CSV/Excel, JSON, or table with columns: Keyword, Search Volume, KD, CPC, Competition, Search Intent]

Requirements:

Include long-tail keywords and semantic variations.

Cluster keywords by topic clusters or intent (informational, commercial, transactional).

Highlight 'low-hanging fruit' (high volume, low difficulty).

Exclude irrelevant or overly broad terms.

Use data from SEO tools (e.g., Ahrefs, SEMrush, Google Keyword Planner) for accuracy.