Since we’ve been able to produce content at scale through AI, there have been graph screenshots littering X and LinkedIn, usually case studies or as part of sales materials. An SEO I know well, Martin Sean Fennon , shared an example of an ongoing brand case study , scaling content through AI, and how the content is being received (through third-party traffic measurement). Screenshot from LinkedIn, May 2026 The issue isn’t always that the content has been produced by AI; that’s always been a good differentiator to hang the blame on, as there are a lot more factors that go into whether or not content is being indexed, let alone served. The real problem lies in the fact that scaling content production, regardless of the method, often introduces a raft of quality control issues . AI is simply the latest, and easiest, scapegoat for a fundamental breakdown in the content pipeline, which includes everything from keyword strategy and topic selection to editing, internal linking, and distribution.…