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.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,270 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Axon System |
| Canonical URL | https://axonsystem.net/en/glossary/ |
| Publication time | Sat, 23 May 2026 07:20:19 +0000 |
| Retrieval time | 2026-05-23T07:27:25.737Z |
| Last seen | 2026-05-23T07:27:25.737Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | VCSQalB11pvx |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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.
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