
The Great AI Content Collapse: Why Cheap Content Makes Real Expertise More Valuable
The AI content collapse makes cheap publishing less valuable, shifting durable content strategy toward proof, authorship, structure, trust, and expertise.
Articles
Generative Engine Optimisation (GEO) is the practice of making content easy for AI‑mediated search experiences to find, understand, trust, and route people back to. It overlaps heavily with SEO, but puts greater emphasis on clear answers, strong source signals, and content that remains useful when search journeys are conversational rather than keyword‑led.
Below you will find a subset of articles from my blog specifically about Generative Engine Optimisation and more general technical SEO for JavaScript applications. This is a topic I have worked with for many years, although it has not been one I have written about often. There are seven articles collected here so far, which you can see and read below.

The AI content collapse makes cheap publishing less valuable, shifting durable content strategy toward proof, authorship, structure, trust, and expertise.

Technical GEO for websites, covering indexing, renderability, entity clarity, structured data, and crawl paths without inventing an AI‑only markup layer.

Model service page schema without overclaiming by matching visible content, Service data, OfferCatalog, breadcrumbs, FAQs, entities, and proof clearly.

How service pages become easier for AI search to retrieve and summarise through clear problems, visible proof, internal links, schema, and answers.

AEO explained alongside SEO and GEO, covering answer engines, featured snippets, AI answers, content structure, measurement, and practical workflow.

GEO and SEO overlap, but they are not interchangeable. This article breaks down where they meet, where they differ, and how websites need to adapt.

What GEO is, where the term helps, where it misleads, and how generative engine optimisation relates to search, retrieval, trust, and clearer web content.