Plain-English guides to AI search and AI visibility: how AI engines choose sources, and how your brand becomes one. New: our original study of which agencies AI engines recommend in Australia, and the Cited Labs research hub.
How AI engines answer questions, choose which businesses to name, and how to get recommended.
What AI SEO involves, how it differs from SEO, and how to choose an AI SEO agency.
How Google picks sources for its AI answers, and a six-step checklist.
AI Optimisation and AI Overviews: the two meanings, and why they lead to the same work.
Every AI search term side by side, and where they differ.
The first peer-reviewed study on AI citations tested nine tactics across 10,000 queries.
What the Pew study found about clicks when AI summaries appear in Google Search.
A transparent framework for assessing whether Australian brands can be found, understood and cited by AI systems.
A rigorous template for documenting AI visibility work without cherry-picking prompts, overstating causation or presenting one screenshot as evidence.
A transparent methodology for comparing how often Australian brands are mentioned, recommended and cited across major AI answer engines.
Plain-English definitions: AI visibility, AEO, GEO, share of answer, AI citations, RAG, llms.txt and more.
A plain-English definition, how AI visibility is measured, what affects it and how to improve it.
How ChatGPT decides which businesses to recommend, and six practical steps to make it more likely it names yours.
Seven common reasons AI names your competitors instead of you, and how to diagnose it in 10 minutes.
A plain-English definition of AEO, why it matters now, and how brands earn citations inside ChatGPT, Perplexity, Google AI Overviews and Claude.
How generative AI engines assemble answers, how GEO differs from AEO and SEO, and how brands get surfaced inside AI-generated responses.
They share DNA but optimise for different outcomes. Here’s how AEO and SEO differ — and why you need both.
Typical retainers, audit pricing, cost drivers and how AEO pricing compares with SEO.
A practical comparison of how brand visibility differs between ChatGPT search and Google AI Overviews, and what website owners should optimise for in both.
A practical measurement system for tracking brand mentions, recommendations, citations and referral traffic across AI search experiences.
A practical comparison of three AI discovery environments and the implications for brand monitoring.
A plain-English explanation of why AI systems select some sources over others, and what brands can improve without chasing shortcuts.
How entity clarity helps AI systems understand what a business is, where it operates and when it should be recommended.
How to test whether FAQ schema affects machine understanding without confusing correlation with causation.
A practical framework for testing whether cleaner canonical signals improve source consolidation and retrieval consistency.