Lab Notes.
Our public research on getting brands found by search engines and cited by AI: the methods we use on client work, written up in full. To see how they apply to your own site, request a visibility audit.
AI Visibility Tracking: Mentions, Citations and Share of Voice
The metrics that belong in a monthly AI visibility report, how to calculate share of voice, and when a change is big enough to act on.
Read the note →What is AI SEO? The Plain-English Guide
Getting found by search engines and cited by AI answers: what changes, what GEO and AEO mean, and the four jobs that decide who gets recommended.
Read the note →What Does AI Automation Actually Cost?
The build, the running API costs and the human layer, with honest ranges. No discovery call needed.
Read the note →The Technical SEO Audit: What We Check and Why
Crawling, rendering, speed and machine-readable data: the four layers that decide whether Google and AI can rank or cite you.
Read the note →How I Built and Led a Specialised Team of AI Agents
Moving beyond prompts: How to lead a department of digital employees through orchestration and persistent memory management.
Read the note →The Architecture of Retrieval: Traditional Crawlers vs. Generative LLMs
Understand the structural fracture in search. Discover the mechanical differences between traditional web crawlers and generative LLM retrieval.
Read the note →The API Token Economy: Pricing & Strategy
Understand the math behind LLM API tokens. Learn how they work, the pricing models, the free credit trap, and token optimisation strategies.
Read the note →The End of the Bill of Lading Bottleneck
Discover how Agentic AI is destroying the manual data entry tax in the Australian logistics and freight sector.
Read the note →Claude vs GPT vs Gemini: Choosing the Right AI Model for Business
A side-by-side verdict on Claude 5, GPT-6 and Gemini 3 for business automation and content, and when a local open-weight model beats all three.
Read the note →Agentic Infrastructure: Cloud APIs vs. Local Compute
Where does the brain of your AI agent live? A technical breakdown of Cloud APIs, Apple Silicon local compute, and data sovereignty.
Read the note →Why Data is the most important commodity to your Agentic AI strategy
An AI agent is only as intelligent as the data it sits on. Why Technical SEO and data structuring are the prerequisites for AI.
Read the note →The AI Evolution: From LLMs to Agentic AI
ChatGPT was a brain trapped in a chat window. Discover the evolutionary leap from stateless LLMs to stateful, autonomous Agentic AI.
Read the note →The Complete Guide to Agentic AI for Businesses in Australia
Agentic AI marks the transition from generation to execution. A complete guide to AI infrastructure, hardware, and deployment for Australian businesses.
Read the note →The Rise of the AI Automation Agency
Beyond ChatGPT prompts. Learn how an AI Automation Agency builds custom agents, RAG pipelines, and automated workflows.
Read the note →AI Backlink Building: Automating the Workflow
How to automate link building with AI: prospecting, qualification, personalised outreach and tracking, with a human on every send.
Read the note →Agentic vs. Static AI: The Architecture of True Automation
Most enterprise "AI" is a static, rigid decision tree masquerading as intelligence. Discover the reasoning loop that separates true AI Agents from brittle chatbots.
Read the note →The BLUF Protocol: The Architecture of Context
Human-first storytelling actively destroys AI visibility. Learn the military framework for structuring content so LLMs find your answer in the first 100 tokens.
Read the note →The Crawl Budget Haemorrhage
If Googlebot can't physically reach your deep pages, they don't exist to the AI. A technical breakdown of crawl budget mechanics and how to stop the bleeding.
Read the note →The Dual Pipeline: SEO vs GEO
Traditional SEO isn't dead, it's the baseline. The three pillars bridging legacy Search Engine Optimisation to Generative Engine Optimisation.
Read the note →Headless SEO & The Rendering Trap
JavaScript frameworks create machine blindness. Why SPAs built without server-side rendering are invisible to Googlebot and LLM crawlers alike.
Read the note →Legacy SEO vs. GEO
Why the strategies that won the 2010s are actively failing you in the era of ChatGPT, Claude, Gemini, and Agentic Retrieval. A side-by-side teardown.
Read the note →Query Fan-out: Mapping Intent Expansion
A user query is just a seed. Discover how AI agents decompose a single prompt into a cloud of hidden requirements, and how to satisfy all of them.
Read the note →RAG Pipeline Optimisation: Securing the Agentic Referral
Your buyers no longer search, they consult an AI. If your brand isn't the answer the machine returns, you've lost the sale entirely.
Read the note →The RAG Vulnerability Matrix: Why Your GEO Strategy is Failing
Basic schema and a clean robots.txt won't save you. Three technical vulnerabilities silently bleeding your brand's Share of Voice in AI retrieval.
Read the note →The Robots.txt Dilemma: Digital Suicide or Self-Defence?
Blocking every AI crawler protects your IP, but makes you invisible to citation. The case for surgical data partitioning instead of a total blackout.
Read the note →Schema 2.0 Mapping: Programming the AI Graph
JSON-LD isn't just for pretty search snippets anymore. It's an API for LLMs, if your facts aren't explicit, you're forcing the machine to hallucinate.
Read the note →From Keywords to Context: The Bridge Between SEO & GEO
Your past SEO investment wasn't wasted, it's the baseline. The three vectors brands must pivot across to survive the shift to generative search.
Read the note →Vector Payload Engineering: Surviving the Token Chunk
AI doesn't read your page the way a human does, it chops it into 512-token chunks. How severed context causes your brand to lose the citation.
Read the note →What is GEO? The Complete Guide to Generative Engine Optimisation
The zero-click horizon has arrived. A complete guide to the framework that gets your brand cited by ChatGPT, Claude, Gemini, and AI Overviews.
Read the note →What is Technical SEO? The Enterprise Architecture Guide
Content is not king if the machine can't read the page. The four foundational pillars of crawl budget, rendering, speed, and semantic architecture.
Read the note →The Execution Matrix: Selecting the Right LLM for Business Logic
Dispelling the 'one size fits all' AI myth. A technical breakdown of Claude 5, GPT-6, Gemini 3 and local open-weight models.
Read the note →Search Grounding: Architecting for Fact Ingestion
How RAG pipelines evaluate brand trust, why most brands fail the Entity Confidence test, and the three-pillar protocol for eliminating AI hallucinations.
Read the note →Vector Proximity: The Geometry of Search
Why keyword-optimised pages lose AI citations, and how vector proximity decides which content gets retrieved. A plain-English guide with the actual math.
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