AI-Ready Content at Scale
Turning a 28,000-keyword analysis into 800+ pages built for both human readers and AI answer engines.
Keyword analysisContent architectureAEOInternal AI tooling
Challenge
The client’s content strategy was built for a search landscape that no longer existed: thousands of pages optimized for keyword density, none structured for the AI platforms — Google AI Overviews, ChatGPT Search, Perplexity — that were increasingly answering their customers’ questions without a click. They needed scale, but manual page-by-page rewrites would have taken years.
Solution
I analyzed 28,000+ keywords to map every question their audience actually asks, then designed a content architecture where each page serves one query cluster with a direct answer, supporting depth, and schema. To hit scale without sacrificing quality, I built more than ten internal AI-assisted workflows — for clustering, brief generation, and answer-format QA — with human editorial review at every gate.
Outcome
Over 800 AI-ready pages shipped in nine months, each one structured to be quotable by answer engines and useful to the person reading it. The pages earn citations across AI search platforms while holding traditional rankings — one content investment that pays out in both worlds, and an internal tooling suite the client’s team still uses to produce every new page.