A data-driven analysis of 116 keywords across 23 categories, revealing where user demand is surging and where it's fading.
Four headline findings from the research.
Average composite score by category. Higher means stronger combined signal of interest, growth, and momentum.
The highest-scoring keywords across both datasets. Sort and filter to explore.
| # | Keyword | Category | Score | Avg Interest | Growth % | Momentum | Signal |
|---|
Comparing AI-powered keywords against their traditional counterparts. Where is AI creating new demand?
Pairs matched by domain. Bar length = composite score.
Granular keyword research across 9 sub-groups within Elder Care, Pet Tracking, and Wedding Planning — the three highest-performing categories from the broad scan.
Competitive audits, user personas, MVP features, AI integration analysis, and go-to-market assessment for the top 3 categories.
Weighted scoring across 6 dimensions. Each category rated 1–10, then multiplied by dimension weight.
Total addressable market, growth rates, and search demand signals for each category.
Key players in each category — their strengths, pricing, AI status, and gaps.
9 simulated user interviews revealing pain points, willingness to pay, and killer features.
Must-have vs. nice-to-have features for each category's minimum viable product.
Where AI creates genuine value vs. where it's just a gimmick.
Timing, distribution, monetization, regulatory, virality, and key risks for each category.
Expand any category to see keyword-level detail and a bubble chart of average interest vs. growth.
Each bubble is a keyword. X = average search interest (market size), Y = growth % (trajectory), size = composite score, color = category.
Keywords showing negative growth. Areas to approach with caution or avoid entirely.
Keywords grouped into priority tiers based on composite score.