AI Search Optimisation.

Search engines now answer questions directly, and they build those answers from sources they retrieve and quote. Getting into that answer is a different job from ranking a blue link. These guides explain how generative search works, what it looks for in a page, and how to measure whether your brand is being cited. Start with the plain-English definition of GEO, then work through how retrieval systems read, split and ground your content.

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The guides

01

What is AI SEO? The Plain-English Guide

AI SEO is the practice of getting your brand found by search engines and cited by AI answers. What it covers, how GEO and AEO fit in, and where to start.

02

Legacy SEO vs. GEO

A side-by-side teardown of traditional SEO vs. GEO. See why your current search strategy is failing the RAG pipeline test.

03

From Keywords to Context: The Bridge Between SEO & GEO

Why traditional SEO is the foundation, and Generative Engine Optimisation (GEO) is the future. How to evolve your search strategy for 2026.

04

The Dual Pipeline: SEO vs GEO: Running Both Tracks in Parallel

How Minilab Digital runs SEO and GEO as two concurrent operational tracks, and the governance rules that keep them from breaking each other.

05

Query Fan-out: Mapping Intent Expansion

Predict the machine's reasoning. Discover the Query Fan-out framework to satisfy the latent intent of AI agents through strategic intent expansion.

06

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.

07

RAG Pipeline Optimisation: Securing the Agentic Referral

Discover why RAG pipeline optimisation for brands is the highest ROI marketing strategy of 2026. Stop losing revenue to AI hallucinations.

08

The RAG Vulnerability Matrix: Why Your GEO Strategy is Failing

Why your GEO strategy is failing. A technical teardown of RAG pipelines, the Chunking Trap, Semantic Entropy, and Adversarial GEO vector poisoning.

09

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.

10

Vector Payload Engineering: Surviving the Token Chunk

Discover Vector Payload Engineering (VPE): how to survive the AI 512-token chunk and ensure your brand facts remain semantically locked.

11

The BLUF Protocol: The Architecture of Context

Why human-first storytelling destroys your AI search visibility, and how to engineer immediate context using the BLUF (Bottom Line Up Front) Protocol.

12

AI Visibility Tracking: Mentions, Citations, Share of Voice

How to measure AI visibility: mention, citation and recommendation rates, share of voice, false positives and when a change is worth acting on.

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Related work

Want to know whether ChatGPT and Google's AI answers mention your brand? Get a visibility audit and we will show you where you stand.