keyword-research

Prioritize keywords for SEO, AEO, and GEO using a tri-surface scoring rubric. It analyzes search intent, SERP features, and clustering to yield composite and priority-surface outputs for organic rankings, answer engines, and AI citations.

Find competitor keyword gaps by comparing your target keywords against SERP observations. This process identifies missing or weakly held opportunities that competitors capture, generating actionable research outputs for your content strategy.

Search intent classification maps target keywords to specific intent types, ensuring you produce the correct content format. This alignment maximizes your potential to capture organic SEO traffic, AEO answer features, and GEO AI citations.

Group keywords into clusters by analyzing SERP features and search intent. This SERP-driven clustering process groups related terms so a single page can rank for multiple queries, improving organic visibility and content planning efficiency.

You can use a seed topic or keyword list for expansion and clustering. The workflow requires these inputs alongside intent classification and SERP feature observations to produce a prioritized, tri-surface-scored keyword research report.

You need SERP feature observation inputs to score GEO opportunities accurately. The rubric-based scoring relies on analyzing SERP data to evaluate and prioritize target keywords specifically for AI overview citations and answer engine features.