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AI Search & LLM Visibility

We build and operate your AI search and visibility function on monthly sprints. £3,000 to £8,000 a month, no minimum. The function covers Google AI Overviews, ChatGPT, Claude, Perplexity — and the traditional SEO surface that still feeds half the answers. The work is not an SEO checklist. We replace the visibility function — keyword research, content optimisation, schema, internal linking, LLM citation tracking — and run it under one operating layer on your infrastructure. Visibility moves from one channel to four, measured against the same revenue numbers as paid and content.

LLM citation

Getting cited inside ChatGPT, Claude, and Perplexity answers. The structural and semantic signals that make models pull your content into their responses.

Sub-cluster

GEO / AEO

Generative Engine Optimisation and Answer Engine Optimisation — the practical playbook for being the source AI engines reach for, not just one of many.

Sub-cluster

Traditional AI SEO

Google ranking still drives half the AI surface. Modern technical SEO, structured data, and content depth — under one operating layer with the rest of your visibility function.

Sub-cluster

AI Overview ranking

Showing up inside Google's AI Overviews — the new layer between query and the ten blue links. Different signal weights, same revenue downstream.

Sub-cluster

SEO was one channel. Now it is four — Google organic, AI Overviews, LLM citation, and answer engines. One team, one system, one sprint, measured against the same revenue numbers.

— AI Search thesis
§ · Flagship posts

AI Search

ChatGPT SEO: How to Rank Inside ChatGPT (Not With It)

Most 'ChatGPT SEO' content is about using ChatGPT to do SEO. This is the inverse — making your content the kind of thing ChatGPT cites. Five patterns from six months tracking citations across 14 client engagements.

Read post: ChatGPT SEO: How to Rank Inside ChatGPT (Not With It)

AI Search

LLM optimization: a practitioner’s guide

LLM optimization is pre-category but already measurable. Here are 7 specific structural patterns correlated with LLM citation, tested against real LLM responses.

Read post: LLM optimization: a practitioner’s guide

AI Search

LLM visibility — what it is, why it matters, and how to measure it

LLM visibility is the measurable frequency with which your content gets cited by AI-powered search tools. Here is why it now matters for most marketing teams — and the four-layer methodology we use to track it systematically.

Read post: LLM visibility — what it is, why it matters, and how to measure it
§ · From other pillars

Marketing Operations

Why most AI marketing automation projects stall at month 3

Read Why most AI marketing automation projects stall at month 3

Marketing Operations

The AI marketing operations playbook that's built for reality

Read The AI marketing operations playbook that's built for reality

Content Strategy

Read

Attribution

Read
§ · Explore other pillars

Marketing Operations

AI marketing automation and the central hub for unified system thinking.

Explore Marketing Operations

Content Strategy

AI content production at scale, with quality and brand voice as constraints.

Explore Content Strategy

Attribution

Server-side tracking, multi-touch attribution, and the models that survive iOS and GA4 changes.

Explore Attribution

AI Models

Comparing Claude, ChatGPT, Gemini and others — and picking the right model for each marketing job we run for clients.

Explore AI Models

Book a discovery call

Sixty minutes. No slide deck. We tell you which sprint tier fits and when visibility starts shipping.

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