AI Visibility Engineering Glossary – AEO, Geo, LLM Retrieval
The AIMENSION™ Protocol is a comprehensive framework for AI Visibility Engineering, detailing 51 key terms related to optimizing brand representation in AI systems. Developed by Francesco Tinti, it emphasizes the importance of structuring content and data to enhance brand authority in AI-generated responses. The protocol includes three main pillars: Entity Ground Truth, Algorithmic Authority, and Semantic Injection.
- ▪AEO (Answer Engine Optimization) focuses on structuring brand content to be selected as authoritative by AI systems during user queries.
- ▪AI Visibility Engineering aims to maximize citation probability and description accuracy in AI responses through optimized brand entity representation.
- ▪The AIMENSION Protocol is a proprietary methodology that defines essential pillars for establishing entity authority in AI systems.
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AIMENSION™ Protocol — Official Reference AI VisibilityGlossary 51 Terms Version 1.0.0 Maintained by Francesco Tinti — Q139765600 Axon System — Q139766166 Jump to letter A 10 B 2 C 4 D 5 E 7 F 3 G 4 I 1 J 1 K 3 L 4 M 1 P 4 Q 1 R 2 S 8 T 2 V 1 W 1 51Canonical Terms 3Protocol Pillars Q139783726Wikidata Entity A 10 terms AEO (Answer Engine Optimization)AIViz-AEO-01 The practice of structuring brand content, entity data, and semantic markup so that AI-powered answer engines select the brand as the authoritative response when users submit relevant queries at inference time. AEO targets deployed AI systems — ChatGPT, Google SGE, Perplexity, Bing Copilot — at the moment they generate a response.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Axon System.