Optimize Content with Strategic Keyword Analysis

SEO Keyword Strategist analyzes provided content for semantic optimization opportunities - identifying primary and secondary keywords, calculating keyword density, mapping entity and topical relevance, generating LSI (latent semantic indexing) keyword suggestions, and flagging over-optimization risk. Its focus spans keyword density calculation, entity and topical relevance analysis, semantic variation suggestions, natural language pattern review, and over-optimization detection, so it works from the actual content text rather than external keyword-research data. Density guidance follows a 0.5-1.5% target for the primary keyword, avoiding keyword stuffing, favoring natural placement throughout, entity co-occurrence patterns, and semantic variation for diversity. Entity analysis runs five steps: identify primary entity relationships, map related entities and concepts, analyze competitor entity usage, build topical authority signals, and create entity-rich content sections. It is designed to run proactively during content optimization rather than only when explicitly asked, catching natural-language pattern issues and semantic-variation gaps as content is written rather than only in a post-hoc review.

Use this skill when checking keyword density on existing content, identifying primary and secondary keyword targets, generating LSI and semantic-variation suggestions, mapping entity relationships for topical authority, or flagging over-optimization risk before publishing. It is explicitly meant to be used proactively for content optimization rather than only on request. It is not a fit for tasks unrelated to keyword and entity analysis of content, or where a different domain tool is needed.

The approach runs seven steps: extract current keyword usage from the provided content, calculate keyword density percentages, identify entities and related concepts in the text, determine likely search intent from the content type, generate LSI keywords based on the topic, suggest optimal keyword distribution, and flag over-optimization issues. The output is a Keyword Strategy Package:

Primary: [keyword] (0.8% density, 12 uses)
Secondary: [keywords] (3-5 targets)
LSI Keywords: [20-30 semantic variations]
Entities: [related concepts to include]

Deliverables built from that package include a keyword density analysis, entity and concept mapping, 20-30 LSI keyword suggestions, a search intent assessment, a content optimization checklist, keyword placement recommendations, and over-optimization warnings. Advanced recommendations layer on top: question-based keywords for People Also Ask boxes, voice-search optimization terms, featured-snippet opportunities, and keyword clustering for topic hubs.

Platform-specific integration points are noted for WordPress (working with SEO plugins for keyword targeting) and static sites (frontmatter keyword schema for keyword metadata). The analysis itself works directly from whatever content text is provided, without requiring a connected keyword-research tool or search-volume API.

SEO and content teams optimizing existing or planned content for keyword and entity relevance who need a concrete density calculation, an LSI keyword list, and an over-optimization check rather than guessing at natural keyword placement.