Entity & Topical Authority Mapper for E-commerce — AI Citation Score

Topical authority is a measure of how comprehensively a page - and the site it sits on - covers a subject. Google and AI systems assess it by evaluating the entity density, topic depth, and structural quality of content. High topical authority leads to more consistent rankings and AI citations.

Entities are distinct things: people, places, organisations, products, concepts, and events. Google's Knowledge Graph is entity-based rather than keyword-based. Mentioning and properly explaining entities in your content builds Google's confidence in your expertise on a topic.

The tool uses n-gram extraction and heuristic classification to identify noun phrases, proper nouns, and recurring key terms. It then classifies them by type (concept, product, organisation, person, place, event) and measures frequency. All analysis is client-side - your content never leaves your browser.

8+ entities is a reasonable baseline, 12-20 is strong, and 20+ across multiple types signals comprehensive coverage. Entity diversity (multiple types) matters as much as count - covering concepts + organisations + people signals multi-angle expertise.

No. All analysis runs locally in your browser using JavaScript. Nothing is uploaded or stored.

Use canonical tags to point filtered, sorted, and paginated URLs back to the primary product or category page. Write unique descriptions for high-value products and use noindex on low-value parameter variations. Consolidate thin pages with similar products into stronger category hubs that aggregate ranking signals.

Category pages typically target higher-volume commercial keywords and serve as link equity hubs. Product pages capture long-tail buyer-intent queries with higher conversion rates. Prioritise category pages for link building and internal linking, then ensure product pages have unique content and proper schema markup for rich results.