Topic taxonomy is a hierarchical classification of topics and subtopics used to organize queries and analyze brand visibility by subject area. In the Cited Index, brands are organized into 8 category taxonomies (Travel & Luggage, Audio & Wearables, Skincare & Beauty, CRM & Sales, HR & Payroll, Digital Payments, Credit Cards, Online Learning), each with its own set of category-specific queries.Documentation Index
Fetch the complete documentation index at: https://docs.getcited.in/llms.txt
Use this file to discover all available pages before exploring further.
Why it matters
Topic-level analysis reveals which subjects a brand owns in AI conversations and which it is invisible on. A CRM brand might be well-represented for “CRM for startups” queries but invisible for “sales automation” queries — both within the same broad category. Without a topic taxonomy, this kind of subtopic gap analysis is impossible. The taxonomy provides the organizational structure for granular visibility diagnostics.How Cited uses it
The Cited Index uses 8 category taxonomies for its benchmark data, with 20-25 queries per category. Individual brand dashboards support topic-level filtering within the prompt library. Query generation produces queries that span the full topic space of a brand’s category, ensuring coverage across subtopics rather than clustering on a few popular questions.Related concepts
- Cited Index benchmarks — the 8-category benchmark structure
- Query archetype — the structural classification within each topic
- Intent type — the purpose classification that cross-cuts topics