seo-analysis

Keyword opportunities and content gaps are identified by running topic queries through search data analysis. The process generates topical clusters, semantic relations, and supply-demand gaps to build a prioritized SEO action plan.

Website content SEO audits analyze your provided text or crawled page content to identify missing high-value terms. The audit reveals structural improvements and semantic gaps within your existing document architecture.

Semantic SEO improves on-page optimization by mapping key semantic relations within a topic. It aligns your content structure with actual search intent patterns, ensuring metadata and headers match user queries.

HTML structure and metadata recommendations are generated by analyzing search intent patterns from topic queries. The analysis outputs actionable header hierarchy changes to structurally align your page with SEO findings.

Yes, it supports both keyword research from topic queries and SEO audits of published documents. You can input target subjects for cluster analysis or provide existing page text to find structural improvements.

Turning search data into an SEO action plan involves analyzing topic queries to produce an executive summary with recommendations. It prioritizes next steps based on identified content gaps and semantic optimization opportunities.