Meanwhile, in May, Google published updated guidance on using generative AI to create site content under the title “Using generative AI content on your website” in its official Search Central documentation developers.google.com.
Google’s main point doesn’t come as any surprise to us: AI can help structure, brainstorm, and create. However, mass publishing of AI-generated pages without unique value risks triggering Google’s spam policies, especially those targeting “scaled content abuse” and “low originality.”
Google stressed the need to focus on accuracy, quality, and relevance for both core content and metadata elements such as title tags, image alt texts, and structured data developers.google.com. Embedding transparent context, like labeling AI-originated text or images, is recommended. Additionally, ecommerce sites must use IPTC metadata to document AI-generated assets such as images or product descriptions developers.google.com.
AI-generated content is essential and invevitable. But having controls in place to ensure the content has value is truly foundational at this point. Our team has been blogging frequently about why this concept is so important, demonstrating how human-guided applications of AI outperform poorly masked machine-generated content. Google is clearly signaling that value and clarity matter most in AI-era content, marketing, and SEO.
Quality > Quantity.