The vocabulary used throughout the Geosystems AI platform and reports.
- AI visibility
- AI visibility is how often, how accurately, and how prominently a brand appears inside the answers generated by AI assistants such as ChatGPT, Gemini, Claude, Perplexity, Copilot, and Grok.
- GVI™ (Geosystems Visibility Index)
- GVI™ is the Geosystems AI scoring framework for AI visibility. It scores a brand across four dimensions: Presence (whether AI engines surface the brand), Prominence (where the brand appears in an answer), Attribution (whether the brand is cited by name), and Accuracy (whether the stated facts are correct).
- Recommendation Share™
- Recommendation Share™ measures how often AI engines name a brand versus its competitors when a user asks a buying-intent question in that category. It is the AI-era equivalent of share of voice.
- Tracked prompt
- A tracked prompt is one buyer-intent question that Geosystems AI runs across all six AI engines. Each run returns a GVI™ score, Recommendation Share™, citations, and competitive intelligence for that question. Prompt volume refreshes monthly.
- AI hallucination (brand context)
- A brand hallucination is a confident but incorrect statement an AI engine makes about a company, such as wrong pricing, outdated leadership, invented features, or attributing a competitor's product to the brand.
- VERA™ (Verified Entity Recognition & Accuracy)
- VERA™ is the Geosystems AI hallucination-defence framework. It compares what AI engines say about a brand against the brand's verified facts and flags false or outdated claims — wrong pricing, outdated leadership, invented features — in real time.
- VeraGraph™
- VeraGraph™ maps how AI systems understand and connect a brand: the attributes, sources, and competitors models associate with it. It exposes the gaps and wrong associations that cause a brand to be omitted or misdescribed in answers.
- Registry™
- Registry™ is the Geosystems AI trust layer for verified brand identity in AI systems. It publishes and maintains a canonical, machine-readable record of a brand's facts so AI engines have one authoritative source to retrieve and cite.
- Generative Engine Optimization (GEO)
- Generative Engine Optimization is the practice of structuring entities, facts, and citations so that generative AI engines understand, summarise, and recommend a brand accurately. GEO is to AI assistants what SEO is to search result pages.