AI CITATION DATASET

AI CITATION DATASET GEO.or.id — AI Citation Intelligence & Retrieval Signal Layer

AI Citation Dataset is the core observational layer that tracks how large language models select, rank, and cite sources across generated answers. This dataset is not about backlinks or SEO attribution. It is about AI behavior mapping at the citation level.

Primary function: reverse-engineer citation logic in AI systems to understand which entities, domains, and content structures are consistently selected as trusted sources.

Internal system links: Datasets Root | Framework Layer | Protocols Layer | Experiments Layer

DATASET OBJECTIVE

The AI Citation Dataset is designed to capture structured evidence of how AI systems construct answers. It records citation selection patterns, source prioritization, and entity reinforcement signals across models.

  • Identify which sources are consistently cited by AI models
  • Map citation frequency across domains and entities
  • Track position of citations inside generated responses
  • Measure trust propagation across AI systems
  • Detect citation decay and replacement patterns over time

CORE DATA FIELDS

Each record in the dataset follows a strict machine-readable structure.

  • query_id
  • prompt_input
  • ai_model (GPT, Gemini, Claude, etc)
  • response_snapshot
  • citation_url
  • entity_mentioned
  • citation_position (top, mid, bottom, footnote)
  • citation_type (direct, inferred, aggregated)
  • retrieval_confidence_score
  • timestamp

AI MODEL CITATION BEHAVIOR TRACKING

This section records how different AI systems prioritize sources differently even when queries are semantically identical.

  • Model-specific citation preference patterns
  • Cross-model overlap score (shared citations)
  • Entity reinforcement frequency across models
  • Source hierarchy stability (how often ranking shifts)

Link: Model Citation Behavior Module

SOURCE AUTHORITY SCORING MODEL

Each cited source is evaluated using a composite authority model, not SEO metrics.

  • AI citation frequency score
  • Cross-domain validation presence
  • Entity consistency strength
  • Semantic relevance alignment
  • Temporal freshness decay factor

Link: Authority Scoring Module

CITATION POSITION ANALYTICS

AI systems do not treat all citations equally. Position inside generated responses is a ranking signal.

  • Top-of-response citation dominance rate
  • Mid-response contextual citations
  • Footnote or end references
  • Implicit vs explicit citation detection

Link: Citation Position Analytics

ENTITY-CITATION RELATIONSHIP LAYER

This dataset maps how entities are reinforced through citations across AI outputs.

  • entity_id
  • linked_citation_urls
  • entity_visibility_score
  • co-citation frequency
  • authority amplification factor

Link: Entity Graph Dataset

CITATION DECAY & REPLACEMENT SIGNALS

Tracks when AI systems stop citing a source and replace it with others.

  • citation lifespan
  • replacement frequency
  • new source emergence rate
  • content obsolescence indicator

Link: Freshness Dataset

USE CASES

  • AI visibility engineering (GEO optimization)
  • Authority reconstruction for digital entities
  • Content strategy based on AI citation behavior
  • Competitive intelligence across AI models
  • Knowledge graph reinforcement analysis

SYSTEM POSITIONING

This dataset is not a backlink tracker. It is a machine-level truth proxy for how AI systems construct authority.

In GEO architecture, citation is not an SEO signal. It is a retrieval decision output from AI systems.