Semantic Neighbourhoods
Score
70 / 100
Presence Pillar Report
Brand
Infinum
Date
2025/11/19
Score
01 � Elevate Citation Quality
Prioritize earning mentions and references from top-tier industry publications and news outlets to address the critical Citation Authority score.
02 � Target High-Authority Contexts
Develop a PR and content strategy focused on securing coverage in news and academic sources, your two most significant context gaps.
03 ️ Create Citable Assets
Focus on producing original research, data-driven reports, and in-depth case studies that are more likely to be referenced by authoritative sources.
04 ️ Pursue Academic Collaborations
Explore partnerships with universities or researchers to increase brand presence in the high-authority 'academic' context, where you are currently weakest.
05 � Reinforce Core Associations
Consistently feature the terms 'software development' and 'mobile development' in your thought leadership, website copy, and press materials to strengthen your semantic ties.
Score
Score
Saturated Contexts
Understanding Presence %
Presence % = (brand mentions per 1000 chars × 10) + (contextual relevance × 0.5). Higher % means stronger, more frequent brand mentions in that context.
≥10%: Strong presence, 5-10%: Moderate, 2-5%: Minimal, <2%: Very weak, 0%: Missing
Context Saturation Breakdown
| Platform | Presence % | Mentions | Authority | Status | Gap Size | Priority Action |
|---|---|---|---|---|---|---|
| reviews | 19.5% | 5 | 50 | ✅ Strong presence | 31 pts (High gap) | Strategic content increase |
| news | 17.8% | 7 | 90 | ✅ Strong presence | 72 pts (Critical gap) | Media outreach & PR campaign |
| academic | 16.2% | 27 | 100 | ✅ Strong presence | 84 pts (Critical gap) | Priority platform campaign |
| technical | 12.3% | 6 | 70 | ✅ Strong presence | 58 pts (High gap) | Priority platform campaign |
| wikipedia | 0.0% | 0 | 80 | ❌ Minimal presence | 80 pts (Critical gap) | Create/improve Wikipedia presence |
| reference | 0.0% | 0 | 75 | ❌ Minimal presence | 75 pts (Critical gap) | Priority platform campaign |
| forums | 0.0% | 0 | 40 | ❌ Minimal presence | 40 pts (High gap) | Strategic content increase |
| social | 0.0% | 0 | 30 | ❌ Minimal presence | 30 pts (Medium gap) | Strategic content increase |
Score
Citation Analysis Breakdown
| Citation Type | Count | Percentage | Weight |
|---|---|---|---|
| Direct Mentions | 20 | 100% | 30% |
| URL References | 0 | 0% | 20% |
| Source Attributions | 0 | 0% | 40% |
| Contextual References | 0 | 0% | 10% |
[1] Semantic Neighbourhoods
Analyzes which concepts co-occur with your brand across AI training data and web content. Maps the semantic neighborhood by identifying concepts that frequently appear alongside your brand name, measuring association strength through co-occurrence frequency and contextual relevance. Strong semantic neighborhoods mean AI systems accurately link your brand with intended concepts; weak neighborhoods indicate missed opportunities to establish key associations.
Methodology: Natural language processing analyzes text contexts containing brand mentions to identify co-occurring concepts. Association strength calculated based on frequency, proximity, and contextual relevance. Opportunity scoring identifies high-potential concepts with low current association but high strategic value.
[2] Context Saturation
Measures presence across diverse information contexts that shape AI knowledge: academic papers, news articles, social media, technical documentation, and industry publications. Evaluates both breadth (number of contexts) and depth (strength within each context). High saturation ensures AI systems encounter your brand across multiple authoritative sources; low saturation creates knowledge gaps where AI has limited exposure to your brand.
Methodology: Content analysis across major information contexts weighted by authority and AI training likelihood. Academic papers and authoritative news sources weighted higher than social content. Saturation score combines coverage breadth with context-specific authority metrics.
[3] Brand Name and URL Citations
Quantifies how often authoritative sources explicitly mention your brand name and link to your website. Citation frequency and source authority directly influence AI's perception of brand credibility and importance. High citation rates from reputable sources signal brand significance to AI systems; low citation counts suggest limited third-party validation and reduced discoverability.
Methodology: Crawls and analyzes web mentions for brand name citations and URL backlinks from high-authority domains. Citation scoring weights source authority (domain rating, publication reputation) and mention context quality. Compares citation frequency against industry benchmarks.