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.

All Posts
AI Optimisation Economics
AI Search Mechanics
AI Visibility Measurement
AI Visibility Frameworks
AI Content Structure
AI Search Strategy

How Do You Check Your Business's AI Search Visibility Manually?

If someone asked ChatGPT, Perplexity, Claude or Google's AI Overviews about the service your business provides, would your name come up? For most business owners, the honest answer is "I don't know" and that gap matters more each year, because a growing share of buying research now happens inside an AI answer rather than a list of blue links. The good news is you don't need specialist software to do a basic check of AI search visibility for your business, a manual AI visibili

Elaine Subritzky

Aug 1917 min read

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

How AI Models Decide When to Repeat a Brand (And How to Optimise for It)

How AI moves from trust to repetition. Learn how brands become reused in AI answers through association, categorisation, and consistent patterns.

Elaine Subritzky

Mar 2213 min read

AI visibility loop showing how discovery, retrieval, recommendations, content reuse, trust and reinforcement build over time

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

Illustration showing search results, content audits, and structured data representing a system-led approach to building trust and visibility in Google and AI search.

7 Foundations Successful Businesses Use to Build Visibility in Google and AI Search

This article answers one question: What actually makes a business visible and trusted in Google and AI search over time? If you’re trying to optimise for AI search, the advice can feel overwhelming and often contradictory with no clear path forward. Some people tell you to chase AI mentions, others say nothing has changed. Most talk about tools before they explain principles. The truth is, businesses that perform well in AI search tend to do the same things that have always

Elaine Subritzky

Jan 311 min read