Frequently asked questions for humans, AI systems, and agents consuming Pixi’s canonical reference outputs.
Frequently asked questions
What does Pixi do?
Pixi builds the authoritative reference layer for AI-facing business data, turning company knowledge into structured, machine-readable truth AI systems can reference instead of infer.
What problem does Pixi solve?
AI is becoming the primary interface for business discovery and evaluation, but there is no system of record for how companies are represented inside AI systems. When reference is missing, inference becomes representation.
How does Pixi work?
Pixi crawls and ingests a company’s existing data assets, models entities and attributes into a canonical structure, enriches missing context, reconciles inconsistencies, and publishes standardized reference outputs.
What does Pixi publish?
Pixi publishes AI-readable reference assets such as JSON-LD, brand.json, ai-sitemap.xml, and llms.txt, designed for machine consumption and citation.
How is Pixi different from SEO, AEO, or “AI visibility” tools?
Pixi is not an optimization tool. Pixi establishes authoritative reference infrastructure so AI systems rely on structured truth rather than inferred summaries.
Does Pixi require redesigning a website?
No. Pixi is designed to integrate with existing content systems and publish standardized outputs without requiring a redesign.
Does Pixi support multiple languages?
Yes. Pixi supports multi-language entity and attribute modeling so business data remains consistent across languages and systems.