Glossary

VantrisAI Score
The VantrisAI Score is a 100-point composite metric developed by VantrisAI to measure how structurally ready a Singapore B2B business is to be found, cited, and recommended by AI search engines. It is calculated across three pillars: AEO (30 points), AIO (30 points), and GEO (40 points). A higher VantrisAI Score indicates greater AI Search Visibility.
AI Search Visibility refers to the degree to which a business can be accurately understood, confidently cited, and actively recommended by AI-powered search tools such as ChatGPT, Google Gemini, Perplexity, Microsoft Copilot, and Claude. AI Search Visibility is distinct from traditional search engine rankings and is determined by a website’s structural signals, entity clarity, and content architecture. VantrisAI specialises in measuring and improving AI Search Visibility for Singapore B2B businesses.
AI Structural Readiness refers to the degree to which a business website is technically and content-wise configured for AI systems to extract, interpret, and trust its information. A website with high AI Structural Readiness contains structured schema markup, answer-first content, clear entity definitions, and accessible crawl pathways for AI agents. Also referred to as AI Structural Soundness. VantrisAI audits and improves AI Structural Readiness through its proprietary three-pillar framework.
The Singapore AI Visibility Index 2026 is a proprietary benchmark report published by VantrisAI, auditing 750 Singapore B2B domains across 15 sectors using the VantrisAI AI Search Visibility System. It is the first published, scored benchmark of AI Search Visibility across the Singapore B2B market. The Index established that the Singapore average VantrisAI Score is 49.6 out of 100, that only 0.8% of businesses achieved Grade A — AI Dominant, and that 95.3% of businesses failed FAQ and HowTo schema implementation.
The VantrisAI AI Search Visibility System™ is the proprietary methodology developed by VantrisAI to transition a Singapore B2B business from searchable to recommended across AI engines. It operates through three pillars (AEO, AIO, and GEO) and produces a 100-point VantrisAI Score. The system is used in every VantrisAI audit engagement and forms the basis of the Singapore AI Visibility Index 2026.

AEO, or Answer Engine Optimisation, is the first pillar of the VantrisAI AI Search Visibility System, worth 30 points. AEO measures whether a website’s content is structured so that AI engines can extract, parse, and quote it accurately. AEO checks include FAQ and HowTo schema implementation, answer-first content structure, question-based headings, structured lists and tables, optimised meta descriptions, and entity self-definition. The Singapore average AEO score is 13.0 out of 30 — 43% of the available score.

AI Overview Optimisation (AIO), is the second pillar of the VantrisAI AI Search Visibility System™, worth 30 points. AIO measures whether AI crawlers can access, read, and trust a website. AIO checks include whether AI crawlers are permitted in the site’s robots.txt, whether an llms.txt file is present, whether core schema markup is implemented, HTTPS enforcement, XML sitemap accessibility, canonical tag configuration, and single H1 structure. The Singapore average AIO score is 22.0 out of 30 — 73% of the available score, making it the strongest-performing pillar nationally.
Generative Engine Optimisation (GEO) is the third pillar of the VantrisAI AI Search Visibility System™, worth 40 points. GEO measures whether a business actively appears in live AI-generated recommendations. VantrisAI’s GEO assessment uses a two-layer approach: Layer 1 evaluates on-page E-E-A-T signals worth 20 points, and Layer 2 runs a live Perplexity Sonar-Pro query to test real AI recommendation presence, worth an additional 20 points. The Singapore average GEO score is 14.5 out of 40 — 36% of the available score, making it the most underdeveloped pillar nationally.
AI Dominant is the Grade A classification in the VantrisAI scoring framework, awarded to businesses that score between 80 and 100 on the VantrisAI Score. An AI Dominant business is structurally optimised for AI search and has a high probability of being recommended by AI engines such as ChatGPT, Gemini, and Perplexity. As of the Singapore AI Visibility Index 2026, only 0.8% of Singapore B2B businesses, 6 out of 750 audited achieved AI Dominant status.
AI Invisible is the Grade F classification in the VantrisAI scoring framework, assigned to businesses that score between 0 and 34 on the VantrisAI Score. An AI Invisible business has critical structural failures across its AI Search Visibility signals and has near-zero probability of being found or recommended by AI-powered search tools. The Singapore AI Visibility Index 2026 found that a significant proportion of Singapore B2B businesses fall into the AI Invisible or near-AI Invisible band.
The GEO Live Query Layer is a proprietary audit component developed by VantrisAI in which a live, Singapore-contextualised query is submitted to Perplexity Sonar-Pro during the audit process. The result is scored against five criteria: brand mention presence, rank position within the response, sentiment of the mention, citation URL match against the client’s domain, and whether the brand appears as a recommended option. The GEO Live Query Layer is what distinguishes VantrisAI’s GEO assessment from on-page signal checks alone and is included in every paid AI Search Visibility Audit.
The Agency Paradox is a named finding from the Singapore AI Visibility Index 2026, published by VantrisAI. It refers to the discovery that Digital Marketing Agencies, the sector best positioned to understand and implement AI Search Visibility scored the highest nationally at 58.48 out of 100, yet still only scored 8.88 points above the Singapore average of 49.6. The Agency Paradox demonstrates that even businesses operating within the digital marketing industry have not solved AI Structural Readiness, and that AI Search Visibility requires a specific and dedicated methodology beyond general digital marketing practice.
The AI Visibility Gap refers to the measurable difference between how a business believes it is represented in AI search results and how it actually appears or fails to appear when AI engines generate responses to relevant queries. For most Singapore B2B businesses, the AI Visibility Gap is large: their websites are technically accessible but structurally invisible to AI recommendation engines. VantrisAI’s AI Search Visibility Audit quantifies the AI Visibility Gap using the VantrisAI Score and benchmarks it against 750 audited Singapore B2B domains.
The VantrisAI Score Grade Bands are the classification system used by VantrisAI to interpret a business’s 100-point composite AI Search Visibility score. The five bands are: Grade A, AI Dominant (80–100), awarded to businesses with strong AI recommendation probability; Grade B, AI Visible (65–79), indicating good visibility with clear gaps; Grade C, AI Partial (50–64), meaning critical signals are missing; Grade D, AI Weak (35–49), indicating the business is largely absent from AI recommendation engines; and Grade F, AI Invisible (0–34), representing critical structural failure and near-zero AI recommendation probability.
Scroll to Top