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.
Technical AEO
The crawlability, rendering, indexing and structured-data foundations that decide whether you are even in the candidate pool, codified as a 330-point audit across four pillars.
None of the visibility work matters if a machine cannot crawl, render and index the page in the first place. This is the foundation layer, and I have codified it as a 330-point technical audit across four pillars, every check cross-referenced to a primary source. Browse the audit to see exactly what I check and how to find each issue on your own site.
Technical AEO Audit
A 330-point technical and AI-readiness audit. Every check is cross-referenced to a Google primary source and clustered into the Four Pillars of generative search, so you see not only what is wrong but why it matters and how to fix it. It surfaces the crawl, indexing, content, trust and entity issues that quietly suppress rankings and AI citations, with a fix list prioritised by competitive impact.
Google AI Search Optimisation
Google’s official guidance is blunt: AI features pull from the same standard search index, so there are no AI-specific shortcuts, file formats or markup. Optimising for AI Overviews and AI Mode is optimising for human value, clarity and SEO fundamentals, and explicitly not the fads being sold around it.
AEO Graph View
An Obsidian-style visual node graph of a website where each node is a page and each edge an internal link, with toggleable data layers, rankings, backlinks, status codes, on-page scores, analytics, technical issues and proposed information architecture, so structure and performance are visible at a glance.
Internal Linking Intelligence
A feature that auto-generates internal link suggestions from an uploaded site crawl, producing contextually relevant links from real structure rather than generic keyword matches, and flagging the missed opportunity when no crawl is provided.
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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