{"id":206403,"date":"2025-10-22T07:16:52","date_gmt":"2025-10-22T07:16:52","guid":{"rendered":"https:\/\/www.similarweb.com\/blog\/?p=206403"},"modified":"2026-05-20T11:49:25","modified_gmt":"2026-05-20T11:49:25","slug":"ai-generated-content","status":"publish","type":"post","link":"https:\/\/www.similarweb.com\/blog\/marketing\/geo\/ai-generated-content\/","title":{"rendered":"AI-Generated Content and SEO: Can Speed Compensate for Quality?"},"content":{"rendered":"

As someone who\u2019s spent over a decade in SEO, I\u2019ve watched search evolve through countless algorithm updates<\/a>, but nothing compares to the disruption caused by AI-generated content. In 2025, the internet feels like it\u2019s been rewritten overnight. A report from Graphite<\/a> even shows that more online articles are now created by AI than by human writers. It\u2019s efficient, scalable, and, for many, irresistible.<\/p>\n

AI tools make it faster and cheaper than ever to produce SEO-optimized content<\/a> at scale. For SEO teams and content marketers, that efficiency sounds like a dream, until you see what happens to rankings when quality takes a back seat. The opportunity is real, but so are the risks: inconsistent accuracy, loss of voice, and Google\u2019s growing scrutiny of what qualifies as truly \u201chelpful\u201d content.<\/p>\n

And yes, before you all accuse me of being a hypocrite, I used AI in the creation of this very article<\/strong>. From researching recent debates and exploring angles to summarizing studies and refining structure, AI helped accelerate the process. But every section was reviewed, fact-checked, and rewritten with a human touch. That combination of efficiency and oversight is exactly what this piece argues for. Using AI for SEO<\/a> is fine; you just need to be smart about it.<\/p>\n

What is AI-generated content?<\/h2>\n

AI-generated content refers to any text, image, video, or other media created by artificial intelligence rather than a human. In written content, this usually involves tools such as ChatGPT, Gemini, or Jasper generating text based on prompts, data, and learned patterns. These systems are trained on massive datasets, allowing them to produce fluent, structured copy that resembles human writing, sometimes convincingly so.<\/p>\n

However, AI content often lacks the nuance, personal experience, and unpredictability of human writing. It tends to follow formulaic patterns, prioritizing clarity and structure over originality. While it can speed up content creation and support idea generation, it also introduces risks: factual inaccuracies, repetitive phrasing, and tone inconsistencies.<\/p>\n

For SEO professionals, understanding how AI-generated content behaves is critical. It can improve production efficiency, but without human guidance and editorial review, it can easily miss the mark on authenticity and depth.<\/p>\n

The promise: AI as a productivity engine for SEO<\/h2>\n

AI is undeniably changing how we approach SEO. According to DemandSage<\/a>, 56% of organizations are now actively integrating AI into their SEO workflows<\/strong>, using it to speed up keyword research, topic clustering, meta tag generation, and draft writing.<\/p>\n

From my experience, AI can absolutely boost efficiency. It\u2019s great for surfacing opportunities faster, handling repetitive tasks, and supporting keyword strategies. My team often uses it to build outlines or explore content angles, freeing up time for analysis and creative work. A typical workflow looks like this: research keywords manually, feed them into AI with competitor pages for a draft, then refine and edit heavily with human expertise. The process saves time, but it still needs editorial oversight.<\/p>\n

The biggest misconception I see (Usually on LinkedIn\u2026) is that speed alone will help you rank. It won\u2019t. In fact, AI can cause problems if the content lacks depth, originality, or real expertise.<\/p>\n

The problem: Quality, originality, and EEAT<\/h2>\n

Google\u2019s stance on AI-generated content is pragmatic: it\u2019s fine, as long as it\u2019s helpful and high quality<\/strong>. The Search Central documentation clarifies<\/a> that what matters is how content is created, not who creates it. So, yes, AI content can rank, but only if it demonstrates genuine value.<\/p>\n

Google\u2019s EEAT framework<\/a> (Experience, Expertise, Authoritativeness, Trustworthiness) is a decisive framework that determines whether your content ranks or fades from visibility. AI tends to miss those human signals, the details, insights, and firsthand experiences that readers (and algorithms) recognize as authentic. WebFX<\/a> has shown how low-depth, generic AI text can undermine credibility, and I\u2019ve seen tons of so-called SEO experts writing on LinkedIn on how they generated thousands of AI-generated pages that ranked at first and tanked later, and are now prompting you to comment to see what they learned.<\/p>\n

Research<\/a> from Media Search Group reinforces this: purely AI-generated pages reach the top 10 search results only 28% of the time, and the top 3 just 6%. Hybrid content, by contrast, where humans refine and add value, consistently performs better. The pattern is obvious: AI boosts volume, humans bring value.<\/p>\n

Characteristics of AI-generated content<\/h3>\n

AI writing often follows predictable patterns. After reviewing dozens of AI-driven articles, these traits stand out:<\/p>\n