{"id":1639,"date":"2026-05-21T10:36:52","date_gmt":"2026-05-21T10:36:52","guid":{"rendered":"https:\/\/www.haartyhanks.com\/blog\/?p=1639"},"modified":"2026-06-05T10:43:37","modified_gmt":"2026-06-05T10:43:37","slug":"ai-generated-content-google-2026","status":"publish","type":"post","link":"https:\/\/www.haartyhanks.com\/blog\/ai-generated-content-google-2026\/","title":{"rendered":"AI-Generated Content in 2026: Google Has Got Better at Detecting It, So What Should Your Blog Strategy Be?"},"content":{"rendered":"

What Google actually says about AI content<\/h2>\n

Google does not penalise AI content as such. It rewards helpful, high-quality content that shows experience and expertise, and it targets content made mainly to manipulate rankings.<\/strong><\/p>\n

Google’s position has been consistent for years, and AI is not named anywhere as a disqualifier. The distinction that matters is helpful versus unhelpful, not human versus machine.<\/p>\n

That reframing should shape your entire workflow. The goal is not to hide AI use<\/a><\/strong>. It is to ensure the finished content genuinely helps the reader.<\/p>\n

What has changed since 2024<\/h2>\n

Since 2024, Google has become considerably better at recognising mass-produced, low-value content, so the practice of publishing unedited AI output at scale no longer works.<\/strong><\/p>\n

Two years ago a great deal of obviously generated content slipped through and ranked. That window has narrowed sharply.<\/p>\n

Sites that leaned on unedited AI output have often seen visibility fall. Sites that used AI as an assistant while keeping genuine human expertise have generally been fine.<\/p>\n

The three patterns that trigger problems<\/h2>\n

Three patterns reliably cause trouble: publishing at scale without oversight, surface-level coverage that adds nothing new, and a complete absence of credible authorship.<\/strong><\/p>\n

Each is fixable, and none requires abandoning AI.<\/p>\n