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AI Search & Visibility Insights
A collection of articles exploring how AI-powered search systems like ChatGPT, Gemini, and Google AI Overviews decide which brands to mention, cite, and recommend.
These posts explain AI Search Optimisation, entity-based visibility, and content structure, helping businesses move beyond rankings and become trusted sources in AI-generated answers.
AI Visibility Frameworks
Proprietary systems and methodologies


What Are Authority Signals in AI Search?
Authority Signals (noun) AI Visibility Engine™ framework, stage three Authority Signals is the process of accumulating independent, third-party evidence - reviews, citations, mentions, expert content that AI systems weigh against each other to judge whether a business is credible enough to cite or recommend. Related terms: E-E-A-T, trust signals, consensus, third-party mentions Distinct from: Domain Authority (a single vendor score AI systems don't consult), citations (a sing

Elaine Subritzky
Jul 29 min read


What Is Structured Understanding in AI Search?
Structured Understanding (noun) AI Visibility Engine™ framework, stage two Structured Understanding is the process of organising a business's content, its expertise, services, answers, and relationships so AI systems can interpret, extract, and reuse it with confidence, rather than simply indexing that it exists. Related terms: answer-led writing, content architecture, extractability, schema markup Distinct from: entity definition (establishes what a business is), technical S

Elaine Subritzky
Jun 1517 min read


What is an entity in AI search and why your business is invisible without one
Entity Definition (noun) AI Visibility Engine™ framework, stage one Entity Definition is the process of establishing a business as a distinct, recognisable entity with a consistent name, location, category, and cross-referenced signals so AI systems can identify it, distinguish it from similar businesses, and treat it as a real, citable thing rather than just a string of words. Related terms: knowledge graph, schema markup, NAP consistency, sameAs property Distinct from: keyw

Elaine Subritzky
Jun 421 min read


The AI Visibility Engine™ A Structured System for Becoming Recommendable
While AI platforms use different underlying models and retrieval systems, consistent patterns are emerging in how brands are retrieved, selected, and used within generated answers. Recommendation may appear as direct brand mentions, citations, comparisons, summaries, or inclusion within generated answers. The AI Visibility Engine™ is designed around those observable behaviours rather than any single platform’s proprietary algorithm. It's a structured framework designed to im

Elaine Subritzky
May 57 min read


How AI Systems Build Trust Over Time (and Why One Blog Post Is Never Enough)
AI visibility does not happen instantly. Instead, it develops through what we call the AI Visibility Loop, a cycle in which AI systems discover, retrieve, reuse, and reinforce explanations over time. AI Visibility Loop: the process through which AI systems repeatedly discover, retrieve, reuse, and reinforce explanations as they build confidence in sources over time. In understanding what AI search is, one of the key concepts to grasp is that AI search systems generate an expl

Elaine Subritzky
Mar 1111 min read
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