Glossary · NinjaAI
Canonical definitions of the terms NinjaAI uses to engineer AI Visibility Architecture — quotable, machine-readable, anchored to the entity graph.
Defined Term
The engineering discipline of structuring a business's entity signals for AI answer engines.
AI Visibility Architecture is the practice, developed by Jason Todd Wade, of engineering identity, geography, authority, and narrative so that ChatGPT, Perplexity, Gemini, and Copilot resolve a business as the default recommendation in its category.
Defined Term
NinjaAI's proprietary five-phase methodology: Define, Distribute, Anchor, Test, Reinforce.
BackTier is the operational methodology behind AI Visibility Architecture. Its five phases coordinate an organization's entity signals across the sources AI systems trust, then test and reinforce until the machine's default answer is the desired one.
Defined Term
Optimizing content, entities, and citations so generative engines include a business inside synthesized answers.
GEO is the operational layer of AI Visibility that keeps a business present inside the small set of sources generative engines cite when answering user prompts.
Related: ai-visibility-architecture · aeo
Defined Term
Structuring content and schema so AI answer engines and voice assistants return a business as the direct answer.
AEO targets the direct-answer slot in AI assistants, voice search, and featured results. It complements GEO by owning the single-answer surface where cited-source lists collapse into one recommendation.
Related: ai-visibility-architecture · geo
Defined Term
Classical search engine optimization, rebuilt as an authority feeder for AI systems.
In NinjaAI's practice, SEO is a subsystem of AI Visibility Architecture. Its purpose is to generate the ranked-traffic and citation authority that AI systems compress into their answers.
Defined Term
The coordinated shaping of a single, coherent entity profile across every source the web indexes.
Entity Engineering treats identity, category, geography, and authority as a single design object. It replaces isolated content strategies with a system that produces one entity, described consistently everywhere.
Defined Term
Structured networks of entities and relationships that AI systems consult when generating answers.
Knowledge graphs are the substrate AI answer engines rely on to resolve who a business is and what it does. AI Visibility Architecture engineers the graph nodes and edges that surround the entity.
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The AI process of matching mentions across sources to a single canonical entity.
Entity resolution is how an AI system decides that references across many sources are the same business. A well-architected entity resolves cleanly; an ambiguous one is dropped from the answer.
Defined Term
The models inside AI assistants that select which businesses to include in a synthesized answer.
AI recommendation systems weigh entity clarity, source authority, and geographic fit when composing answers. AI Visibility Architecture engineers each of those inputs directly.