Artificial intelligence is fundamentally transforming content production strategies. In just a few years, generative tools have become capable of producing articles, web pages, and SEO optimizations on a large scale. This development raises a key question for SEO professionals: Can AI-generated content truly dominate Google’s search results, or does it remain structurally inferior to human-created content?
\n\n\n\nA recent study conducted by Semrush provides some answers by combining two complementary approaches: a survey of SEO professionals and an empirical analysis of 42,000 blog pages ranking in search results. The findings reveal a more nuanced reality than meets the eye, spanning perception, performance, and changes in practices.
\n\n\n\nOne of the key findings of the study concerns how SEO teams use artificial intelligence. Contrary to the notion of full automation, AI is primarily integrated into hybrid workflows.
\n\n\n\nAbout 87% of the professionals surveyed report working in environments where people continue to play a central role. The dominant model is based on an assistive approach, in which AI serves as an optimization tool, while editorial decisions remain in the hands of experts.
\n\n\n\nIn practical terms, this structure entails:
\n\n\n\nThe use of AI is significantly less widespread in fields that require more nuanced interpretation, such as visual design or audiovisual production. This breakdown confirms that AI currently acts as a productivity booster rather than a complete substitute for human expertise.
\n\n\n\nFrom a professional perspective, the benefits of AI are clear. Faster production and cost savings are by far the top priorities, cited by nearly 70% of respondents. AI is also seen as a tool for ideation and structuring, facilitating large-scale content production.
\n\n\n\nWhen it comes to search engine optimization, 72% of professionals who use AI-generated content believe that it ranks as well as—or even better than—content created by humans. This figure represents a significant increase compared to previous years.
\n\n\n\nHowever, this perception should be interpreted with caution. A significant number of teams acknowledge that they lack the measurement tools needed to clearly distinguish the performance of AI-generated content from that of human-generated content. This methodological limitation highlights the potential gap between perception and reality.
\n\n\n\nTo go beyond mere perceptions, Semrush analyzed 42,000 pages from the top ten Google results for 20,000 keywords. Each page was classified according to its presumed origin—human, AI, or hybrid—and then compared to its position in the search results.
\n\n\n\nThe results show a clear advantage for human-created content in the top rankings. Approximately 80.5% of the content ranked in first place is identified as human-created, compared to just 10% for AI-generated content.
\n\n\n\nHowever, this gap gradually narrows as we move down the search results. Starting from the fifth position, the differences between human-generated content and AI-generated content become much less pronounced. This observation suggests that AI is capable of producing competitive content, but still faces limitations when it comes to reaching the top positions.
\n\n\n\nThese findings should be interpreted with caution. Several factors can influence the results regardless of the nature of the content.
\n\n\n\nFirst of all, AI content detection tools, such as GPTZero, rely on probabilities and do not provide completely reliable classifications. Some hybrid or heavily edited content may be misclassified.
\n\n\n\nFurthermore, search engine rankings don’t depend solely on content. Domain authority, backlinks, page age, and user experience all play a key role. Many well-ranked pages have built up these signals over several years.
\n\n\n\nFinally, Google does not explicitly penalize AI-generated content. What is evaluated is the quality, relevance, and usefulness of the content, in accordance with the EEAT principles (Experience, Expertise, Authoritativeness, Trustworthiness).
\n\n\n\nThe study’s findings suggest that AI does not replace human-created content, but rather fits into a broader optimization strategy. It enables faster content production, helps identify opportunities, and improves certain technical aspects of SEO.
\n\n\n\nIn this context, the most effective strategies rely on a combination of:
\n\n\n\nAccording to HubSpot, teams that combine AI with human expertise see an average 30% improvement in their content production efficiency1.
\n\n\n\nAI thus becomes a tool for structuring and accelerating the process, rather than a substitute for editorial creativity.
\n\n\n\nThe rise of AI-generated content is accompanied by a shift in ranking criteria. Google is placing increasing emphasis on the actual value of content, beyond its mere structure.
\n\n\n\nThe highest-ranking content is the kind that provides:
\n\n\n\nIn this context, generic or standardized content—often associated with automated production—may be less effective.
\n\n\n\nThis trend is prompting SEO professionals to rethink their strategies by incorporating AI while enhancing editorial quality.
\n\n\n\nThe use of AI in content creation also raises ethical questions. The proliferation of automated content can lead to information overload and a decline in overall quality.
\n\n\n\nIt also raises the issue of transparency. Should users be informed of the source of the content? How can we ensure the reliability of the information generated?
\n\n\n\nThese issues are part of broader discussions on responsible AI and the regulation of digital content. Google itself advocates for a user-centered approach rather than one focused on algorithmic optimization.
\n\n\n\nThe Semrush study does not conclude that AI-generated content is dominant, but rather that SEO is undergoing a transformation. Artificial intelligence is becoming a foundational tool, capable of boosting productivity, optimizing content, and accelerating strategies.
\n\n\n\nPerformance no longer depends solely on the volume of content produced, but on the ability to create value, meet user expectations, and maintain a commitment to quality.
\n\n\n\nThe question, then, is no longer whether AI-generated content can dominate Google, but how it can be effectively integrated into hybrid editorial strategies that combine technology with human expertise.
\n\n\n\nThese changes in SEO are part of a broader shift in how artificial intelligence is used in digital marketing. On a related topic, check out our article “ Perplexity AI Offers Revenue Sharing with Media Outlets: Toward a New Collaboration Model,” which analyzes how AI is redefining the balance between content creation, visibility, and monetization.
\n\n\n\n1. HubSpot. (2024). AI and Content Marketing Performance.
https://www.hubspot.com
Artificial intelligence is fundamentally transforming content production strategies. In just a few years, generative tools have become capable of producing articles, web pages, and SEO optimizations on a large scale. This…
\n","protected":false},"author":7,"featured_media":584861,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[29,133],"tags":[59],"class_list":{"0":"post-584860","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-etudes","8":"category-ia-marketing","9":"tag-parlonsia"},"yoast_head":"\n