Keyword Research

This skill enables an AI agent to perform end-to-end keyword research for any niche, product, or content initiative. The agent starts from seed keywords, expands into long-tail variations, classifies search intent, analyzes competitor keyword portfolios, and delivers a prioritized keyword strategy. The output helps content teams, SEO specialists, and product marketers target the right search terms to drive qualified organic traffic.

Workflow

1. Collect seed keywords and define scope. Gather initial seed keywords from the user's product description, existing content, and business goals. Identify the target market, geographic region, and language. Clarify whether the research is for blog content, landing pages, product pages, or paid campaigns, as this affects intent priorities.

2. Expand into long-tail and related keywords. Use autocomplete patterns, "People Also Ask" queries, and semantic variations to build a broad keyword list. Generate question-based keywords (who, what, how, why), comparison keywords ("X vs Y"), and modifier keywords (best, top, free, cheap, review). Aim for 50–200 candidate keywords per seed term depending on niche competitiveness.

3. Gather search metrics for each keyword. Estimate monthly search volume, keyword difficulty (0–100 scale), cost-per-click for paid reference, and trend direction (rising, stable, declining). Pull click-through rate estimates where available. Note seasonal patterns — for example, "tax software" peaks in January–April while "sunscreen" peaks in May–July.

4. Classify search intent for every keyword. Categorize each keyword as informational (learn), navigational (find a specific site), commercial investigation (compare options), or transactional (buy/sign up). This mapping determines the correct content format: blog posts for informational, comparison pages for commercial, and product/landing pages for transactional.

5. Perform competitor keyword gap analysis. Identify 3–5 organic competitors and compare their ranking keywords against the user's current keyword portfolio. Highlight keywords where competitors rank but the user does not — these are content gap opportunities. Also flag keywords where the user ranks on page 2 (positions 11–20) that could move to page 1 with targeted optimization.

6. Deliver a structured keyword strategy report. Organize keywords into thematic clusters mapped to content pillars. Prioritize clusters by a composite score of volume, difficulty, intent alignment, and business value. Include specific content recommendations for each cluster — suggested titles, target word counts, and internal linking opportunities.

Usage