Key takeaways
- Most AI blog content fails for 1 reason: no feedback loop. The topic came from a brainstorm, the only bar was a word count, and nothing measured what happened after publish, so post 13 repeats every mistake in post 12.
- Depth stops paying at 2500 words. Across 46 of our own articles, median search position improved 14.8, then 12.3, then 8.9 as length rose, then flatlined. The 3000+ band ranked no better than the 2500 to 2999 band.
- Build a standard your draft can fail. Ours blocks a subtitle over 40 words, a paragraph over 70, anything under 2500 words, a claim that contradicts the FAQ, and a pull-quote with no number, quote or named source.
- Self-review has a blind spot the size of your own habits. A subscriber caught 1 word used 284 times across 78 articles, roughly 10x its normal English rate, in 17 headings and 2 titles. Nobody inside had seen it.
- Measure, then rewrite what already exists. 1 page covering Gmail, Drive and Calendar ranked position 48 to 68 for the individual queries, so on 19 August 2026 we split it into 3 exact-match pages.
- Publishing is instant on 5 engines and manual on Google. IndexNow pings Bing, Yandex, Naver, Seznam and Yep in seconds. Google has no indexing API for ordinary pages, and no system can promise you a ranking.
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Questions people ask
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Ronnie spent 18 years building a SaaS with a team of 20 that served over 650,000 customers, generated over $14M in sales, and sent over 550M emails. Now he's solo, solving real business bottlenecks and turning them into working AI skills, workflows, and automations. He teaches all of it, with direct access to him, inside the Solo Creators AI Studio Skool community. See what he's built →
Michael HattawayFounder, Iron Strengthens Iron