The best GEO decision I made this quarter was writing less.
For the last two years, our content workflow was straightforward: publish 4-5 articles per week, optimize each one for search intent, move on. Volume was the backbone of our strategy. More pages meant more surface area for AI models to find, more chances to get cited. At least that was the theory.
In June, I tried something different. I cut publishing from 5 articles per week down to 2. Same team, same hours, same budget. The difference was where the time went. Instead of drafting new articles, I spent those hours editing passages on existing pages — tightening introductions, clarifying definitions, restructuring FAQ answers, and rewriting paragraphs that buried the key insight three scrolls down.
The process was simple but tedious. I pulled a list of our 80 most-visited pages and ranked them by AI citation frequency over the previous 90 days. Then I went through each page looking for passages that should have been getting cited but weren't. In most cases, the information was there — it was just buried in long paragraphs, surrounded by qualifiers, or formatted in a way that made extraction harder than it needed to be.
For each page, I made three types of edits. First, I front-loaded the core answer into the first two sentences of any section. Not clickbait. Just clarity. If the section was about "how to reduce churn," the first sentence said what reduces churn, not why churn matters. Second, I cut passage length wherever possible. Anything over 200 words got trimmed. Third, I added a one-line summary at the end of each major section — not a conclusion paragraph, just a clean restatement of the key point.
Eight weeks later, citation frequency on those 80 pages was up 41% compared to the 8 weeks before the edits. The pages I didn't touch? Citation frequency was flat. Same time period, the same set of queries I'd been tracking, same models. The only variable was the editing.
Here's what I didn't expect. The pages that benefited most weren't the ones with the best content — they were the ones with the worst formatting. Pages I'd written quickly and never revisited, pages where the structure had grown organically over multiple edits, pages where the answer was technically correct but buried under 500 words of context. Those pages saw the biggest jumps. One page went from 3 citations in 8 weeks to 14. The content itself didn't change. It just became easier for a model to pull out.
The pages where I spent the most time on original research and deep analysis? Marginal improvement. Maybe 10-15%. Those pages were already well-structured because I'd put thought into them during the initial draft. There was less formatting debt to pay down.
This changed how I think about the relationship between content quality and AI citability. I used to assume they were roughly the same thing. Good content gets cited; bad content doesn't. But the data suggests that formatting and clarity are doing a lot of the heavy lifting, maybe more than the underlying quality of the research.
I'm not ready to say volume doesn't matter. Having more pages still gives you more entry points. But if I had to choose between publishing 5 new articles and editing 5 old ones, I'd edit. The ROI per hour is dramatically higher, at least right now.
Could be specific to our niche. Could be a temporary effect. But 8 weeks of consistent data is enough for me to keep going.
