Kaus AI is a Generative Engine Optimization (GEO) platform that audits, strategizes, and executes brand placement in the sources AI engines retrieve from — so your company gets cited when buyers ask ChatGPT, Perplexity, Gemini, or Claude about your category.
Citation Audit
Queries AI engines across your target buyer-intent terms and maps every citation source in your category. Identifies which third-party sites, directories, and platforms AI engines are retrieving from — and which ones your brand is absent from. Outputs a ranked coverage gap report by citation frequency and retrieval domain.
Competitor Citation Mapping
Identifies which competitors are being cited, on which engines, and from which specific source URLs. Surfaces the exact placements driving competitor visibility so the same surfaces can be prioritized for your brand.
Source Coverage Strategy
Builds a placement roadmap ranked by expected citation impact. Prioritizes high-retrieval surfaces: software review directories (G2, Capterra, Clutch), comparison listicles, community threads (Reddit, Hacker News), and entity verification records (Wikidata, Crunchbase). Filters for sources AI engines already trust in your category.
Placement Execution
Executes the roadmap across citation surfaces — directory profile creation and optimization, third-party listicle placement, structured community presence, and entity record verification. Every placement targets sources confirmed to generate AI citations in the target category, not generic link-building.
Citation Monitoring
Tracks citation frequency across ChatGPT, Perplexity, Gemini, and Claude on an ongoing basis. Logs which source URLs are being retrieved, in what context, and at what frequency — giving teams a measurable KPI for AI engine visibility over time.
Entity Verification
Establishes and optimizes structured records on Wikidata, Crunchbase, and key directories to ensure AI engines can verify the brand's existence, category, and core claims from authoritative third-party sources.
