• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

WebMEM™

The Protocol for Structuring, Delivering, and Conditioning Trust-Scored AI Memory on the Open Web

  • Primer
  • Memory-First
  • Protocols
    • SDT Specification
    • WebMEM SemanticMap
    • WebMEM MapPointer
    • Digest Endpoint Specification
    • ProvenanceMeta Specification
    • AI Retrieval Feedback Loop Specification
    • Semantic Feedback Interface (SFI) Specification
    • Glossary Term Protocol (GTP) Specification
    • Examples
  • RFC
  • Glossary
  • About
    • WebMEM License
    • Mission
    • Charter

Co-Citation Density

Co-Citation Density is the frequency and proximity with which your authoritative content is cited alongside other trusted sources in AI-generated outputs, retrieval indexes, and semantic graphs. It measures how tightly your Memory Objects and Trust Fragments are positioned with peer high-authority entities, influencing both Trust Scoring and Semantic Proximity.

Unlike raw citation counts, Co-Citation Density accounts for the semantic and contextual strength of citations—valuing instances where your content appears in high-trust, thematically aligned company over isolated or low-quality references.

🧠 Full Definition

Co-Citation Density is determined by:

  • Tracking AI-generated outputs and indexing graphs for adjacent citations
  • Calculating proximity weighting—shorter text or graph distance increases impact
  • Assessing authority scores of co-cited entities and domains
  • Identifying repeated patterns of association across multiple Memory Surfaces and Trust Surfaces
  • Factoring in diversity of co-citation partners to avoid dependency on a single source

High Co-Citation Density builds durable trust associations that reinforce your retrieval preference in AI systems.

📌 Key Characteristics of Co-Citation Density

  • Measured as occurrences per 1,000 retrieval events or equivalent window
  • Focuses on quality and context of co-citations, not just quantity
  • Acts as a trust multiplier when paired with high-authority peers
  • Informs Conditioning Strategies for entity alignment

💡 Why It Matters

In AI retrieval, trust is often inferred through association. Being repeatedly cited alongside trusted entities strengthens your position as an authoritative source, improving both retrieval share and semantic persistence over time.

🌐 WebMEM Perspective

In WebMEM, Co-Citation Density is a monitored KPI inside the Semantic Visibility Console. It is used to identify opportunities for strategic placement of Trust Fragments on surfaces that naturally align with high-authority peers, amplifying cross-entity trust signals.

🗣️ Example Use

“Our Co-Citation Density with CMS.gov increased by 27% after publishing our glossary terms to two academic health repositories.”

🔗 Related Terms

  • Semantic Proximity
  • Trust Scoring
  • Retrieval Share
  • Citation Scaffolding
  • Cross-Surface Reinforcement


Primary Sidebar

Table of Contents

  • Adversarial Trust
  • Agentic Execution
  • Agentic Reasoning
  • Agentic Retrieval
  • Agentic System
  • Agentic Systems Optimization (ASO)
  • Agentic Web
  • AI Mode
  • AI Retrieval Confidence Index
  • AI Retrieval Confirmation Logging
  • AI TL;DR
  • AI Visibility
  • AI-Readable Web Memory
  • Canonical Answer
  • Citation Authority
  • Citation Casting
  • Citation Context
  • Citation Graph
  • Citation Hijacking
  • Citation Scaffolding
  • Co-Citation Density
  • Co-occurrence
  • Co-Occurrence Conditioning
  • Conditioning Half-Life
  • Conditioning Layer
  • Conditioning Strategy
  • Contextual Fragment
  • Data Tagging
  • data-* Attributes
  • Data-Derived Glossary Entries
  • DefinedTerm Set
  • Directory Fragment
  • Distributed Graph
  • Domain Memory Signature
  • EEAT Rank
  • Eligibility Fragment
  • Embedded Memory Fragment
  • Entity Alignment
  • Entity Relationship Mapper
  • Entity-Query Bond
  • Ethical Memory Stewardship
  • Explainer Fragment
  • Format Diversity Score
  • Fragment Authority Score
  • Functional Memory
  • Functional Memory Design
  • Glossary Conditioning Score
  • Glossary Fragment
  • Glossary-Scoped Retrieval
  • Graph Hygiene
  • Graph Positioning
  • High-Trust Surface
  • Implied Citation
  • Ingestion Pipelines
  • Installed Memory
  • JSON-LD
  • Machine-Ingestible
  • Markdown
  • Memory Conditioning
  • Memory Curation
  • Memory Federator
  • Memory Horizon
  • Memory Node
  • Memory Object
  • Memory Reinforcement Cycle
  • Memory Reinforcement Threshold
  • Memory Surface
  • Memory-First Publishing
  • Microdata
  • Misreflection
  • Passive Trust Signals
  • Persona Fragment
  • Personalized Retrieval Context
  • Policy Fragment
  • Procedure Fragment
  • PROV
  • Public Memory
  • Python Fragment
  • Query-Scoped Memory Conditioning
  • Reflection Decay
  • Reflection Log
  • Reflection Loop
  • Reflection Sovereignty
  • Reflection Watcher
  • Reinforced Fragment
  • Resilient Memory
  • Retrievability
  • Retrieval Bias Modifier
  • Retrieval Chains
  • Retrieval Fidelity
  • Retrieval Fitness Dashboards
  • Retrieval Share
  • Retrieval-Augmented Generation (RAG)
  • Same Definition Across Surfaces
  • Schema
  • Scoped Definitions
  • Scored Memory
  • Semantic Adjacency Graphs
  • Semantic Amplification Loop
  • Semantic Anchor Layer
  • Semantic Conditioning
  • Semantic Credibility Signals
  • Semantic Data Binding
  • Semantic Data Template
  • Semantic Digest
  • Semantic Persistence
  • Semantic Persistence Index
  • Semantic Proximity
  • Semantic Retrieval Optimization
  • Semantic SEO
  • Semantic Trust Conditioning
  • Semantic Trust Explainer
  • Semantic Visibility Console
  • Signal Weighting
  • Signal Weighting Engine
  • Structured Memory
  • Structured Retrieval Surface
  • Structured Signals
  • Surface Authority Index
  • Surface Checklist
  • Temporal Consistency
  • Three Conditioning Vectors
  • Topic Alignment
  • Training Graph
  • Trust Alignment Layer
  • Trust Anchor Entity
  • Trust Architecture
  • Trust Drift
  • Trust Feedback Record (TFR)
  • Trust Footprint
  • Trust Fragment
  • Trust Graph
  • Trust Layer
  • Trust Marker
  • Trust Node
  • Trust Publisher
  • Trust Publisher Archetype
  • Trust Publishing
  • Trust Publishing Markup Layer
  • Trust Scoring
  • Trust Signal
  • Trust Surface
  • Trust-Based Publishing
  • TrustRank™
  • Truth Marker
  • Truth Signal Stack
  • Turtle (TTL)
  • Verifiability
  • Vertical Retrieval Interface
  • Visibility Drift
  • Visibility Integrity
  • Visibility Stack
  • Visibility System
  • XML

Copyright © 2025 · David Bynon · Log in