AI content ranking study
A 16‑month experiment tracked AI‑generated content in Google Search and found indexing, growth, then ranking collapse — a cautionary, data‑driven look at AI content performance and SEO volatility. The study details how analytics should be used to monitor AI content lifecycles and guide creative strategy. (x.com)
SE Ranking published 2,000 fully AI‑generated how‑to articles across 20 brand‑new domains in November 2024 as a controlled test of large‑scale AI publishing. (seranking.com) Google indexed 70.95% of those new pages (1,419 of 2,000) within the first 36 days, and SE Ranking found Google fully indexed 11 of the 20 test sites during that initial window. (seranking.com) Within month one eight of the new sites were ranking for more than 1,000 keywords each, and the AI pages collectively drove about 122,000 impressions and 240+ clicks in that same first month. (seranking.com) SE Ranking reports the early visibility collapsed abruptly beginning February 3, 2025, when “all sites lost traction entirely,” a pattern Search Engine Land framed as the outcome of a 16‑month experiment into AI content performance. (seranking.com) On SE Ranking’s own domain, six AI‑assisted articles published June–September 2024 accrued almost 555,000 impressions and 2,300+ clicks between June 2024 and July 2025, with three of those articles reaching the organic top‑10 and five triggering Google AI Overviews as sources. (seranking.com) SE Ranking’s post explicitly warned against relying on unedited, large‑scale AI publishing and recommended thorough human review, editorializing, and adding domain expertise rather than using AI to manipulate rankings. (seranking.com)
