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AI Visibility Foundations
The fundamentals of being recommended by AI: what AEO and GEO are, how models decide which brands to cite, and what it takes to become the answer. Start here.
How to Get Your Brand Recommended by ChatGPT and Gemini
How to get your brand recommended by ChatGPT and Gemini, and how to measure whether it is working, from entity signals to the sources these models cite.
Read →AI Visibility FoundationsHow LLMs Choose Which Brands to Recommend (2026)
Five factors decide which brands ChatGPT, Gemini and Perplexity recommend: mention frequency, source authority, review sentiment, query fit and structured data.
Read →AI Visibility FoundationsThe Concept of a Topical Neighbourhood
What a topical neighbourhood is: clusters of content and entities that reinforce each other so LLMs can map your relevance and treat you as authoritative.
Read →AI Visibility FoundationsHow To Structure Content for AI Visibility
How to structure content so AI can read and quote it: modular formatting, clear headings, schema, and the answer-first shape that answer engines select.
Read →AI Visibility FoundationsRank in AI Search: LLM Guide
How to rank in AI search: entity clarity, high-authority mentions, content built for generative retrieval, and the structured data LLMs use to pick sources.
Read →AI Visibility FoundationsWhat Does It Take to Be AEO and AI SEO-Optimised?
What it takes to be AEO and AI SEO optimised: the technical work, the authority building, and the ongoing ecosystem management behind real AI visibility.
Read →AI Visibility FoundationsHow Long Does It Take to See Results of AI SEO Optimisation?
How long AI SEO takes to show results, stage by stage: crawlability and AI readiness first, then mentions in Google AI Mode, then citations in ChatGPT.
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