Offline keyword and demand intelligence suite for your AI Code and your AI Cowork.
Vendors the keyword-intelligence engine and adds modules for entity coverage, query fan-out, demand trend, AI-citation readiness, winnable-click bands, and branded output. Use when analyzing keyword exports (Semrush, Ahrefs, Google Search Console, Moz, Ubersuggest) for SEO, GEO, and AI-search strategy without external API calls.
Skills 9 in the Claude listing
Citation grid Use when estimating how citation-ready a cluster is for AI answer surfaces (AI Overviews, ChatGPT, Perplexity) and turning that into editorial actions, fully offline. Click ceiling Use when estimating the band of winnable monthly organic clicks per cluster from CTR by position and SERP features, reporting a band and never a single number. Demand pulse Use when classifying clusters as rising, declining, seasonal, or flat from a monthly volume series, or reading demand trend, momentum, and seasonal strength. Entity web Use when analyzing which entities a keyword corpus owns versus only demands, mapping topical authority per cluster, or finding entity gaps to close. Fan out radar Use when checking how well a cluster covers the sub-queries a search or AI engine would fan out into, or finding gatekeeper sub-queries and missing query archetypes. Language layer Use when an Italian keyword export is misread by the four-language engine, to detect Italian and reclassify Italian intent before the other modules run. Live wire Use when bringing observed data (Google Search Console clicks, AI-citation observations) into a run to compare measured against expected, opt-in. Output forge Use when turning a Querymantic run.json into client-ready deliverables, or when a user asks to export, package, or brand a Querymantic analysis. querymantic Use when analyzing keyword exports (Semrush, Ahrefs, Google Search Console, Moz, Ubersuggest, or generic CSV) offline for SEO, GEO, and AI-search strategy, or when a user drops a keyword CSV and wants