Insights
Topic clusters
Frameworks, services and lab builds, organised by the topics we go deep on. Browse a cluster to see how the pieces connect.
AI Search Visibility (AEO / LLMO)
Being the cited, trusted answer inside AI Overviews, ChatGPT, Perplexity and Gemini, not just ranking a blue link.
This is the centre of gravity. The goal is not a blue link on page one but being the source an AI answer is built from, the cited, trusted reference inside AI Overviews, ChatGPT, Perplexity and Gemini. Getting there rests on clear entities, retrievable answers and demonstrable authority, which is what the frameworks and services in this cluster are built to deliver.
AI Search Visibility (AEO / LLMO)
AI Search Visibility work makes your brand and its leadership the cited, trusted source when buyers, investors and journalists ask an AI about your market. SEO competes on keywords; AEO competes on entities, and most organisations are currently invisible or ambiguous to the models.
AEO + LLMO Strategy
A twelve-month AEO and AI-visibility roadmap built around priority topic clusters, keyword targets, content cadence, link priorities and AI-readiness actions, mapped to monthly milestones and your commercial goals.
Content & Newsroom Strategy
A content strategy and production pipeline that turns raw material into SEO/AEO-optimised articles with structured data, author schema, internal links and People-Also-Ask coverage, designed so authority compounds to named authors, not just pages.
Instant AEO
An end-to-end programme that runs technical audit, opportunity analysis, competitor benchmark, content strategy, backlink plan and a 12-month roadmap in sequence, then adds a new site build with optimised information architecture and full deployment.
The Four Pillars Framework
The Four Pillars Framework groups the working levers of AI search visibility into four pillars, Technical Foundations, Topical Content, Trust Signals and Authority Network, plus a cross-cutting guardrails layer. It is synthesised from Google’s own primary sources on how generative AI features select what to cite.
Query Fan-Out
Query fan-out is the pattern where a single user question is silently decomposed into many concurrent sub-searches that run in parallel; the system then assembles the evidence into one synthesised answer. It means a page no longer needs to rank for one head keyword, it needs to be the best-cited page across the cluster of fan-out queries around its intent.
AI Search Query Capture
A free Chrome extension that reveals the web-search queries ChatGPT and Claude run when they browse, and the source URLs they cite, captured live and on-device. It makes query fan-out visible, the bridge between a natural-language prompt and what actually gets retrieved and cited. Live on the Chrome Web Store.
EventCapture
Event content, keynotes, panels, podcasts, notes, photos, evaporates after the event. EventCapture records it on a phone, offline-first, and turns it into attributed, AEO-optimised content the same day: event reports, articles, social posts, show notes and a quote bank.
Seasonal & Trend Validation
A content-pipeline feature that validates a search term against seasonal peak data and trend direction before use, showing the peak month, auto-inserting the highest-volume term into the title and heading, and alerting if the chosen term is currently off-peak.
The field notes
Frameworks, builds and what is changing in AI search.
Sent occasionally, never noise. The thinking behind the work, and the experiments before they ship.
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