AI Search & GEO
How generative engines select, cite and summarise sources, and what that changes about site structure and content. Notes on measuring exposure in AI Overviews and conversational search separately from classic rankings.
Frameworks, observations and implementation notes based on practical experience. Long-form articles will be published here over time.
How generative engines select, cite and summarise sources, and what that changes about site structure and content. Notes on measuring exposure in AI Overviews and conversational search separately from classic rankings.
Treating organic acquisition as a product surface rather than a marketing channel. How search requirements enter roadmaps, release cycles and squad-level ownership alongside Product and Engineering.
Crawl, indexation and architecture decisions on large catalogues, where a single rule is multiplied across thousands of templated pages. How to sequence fixes when engineering capacity is the constraint.
Designing templated page systems that stay useful at scale: entity models, internal linking, quality thresholds and the guardrails that keep a programmatic footprint from becoming a liability.
Turning organic into a forecastable line in the plan. Attribution, prioritisation and the measurement frameworks that let organic growth be defended in a business review.
Operating content as a system rather than a backlog: briefs, AI-assisted pipelines, CMS automation and editorial control at catalogue scale, with quality checks that hold as volume increases.
Most of these topics are easier to work through against your specific numbers.
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