

And Why AI Is Making It More Powerful, Not Obsolete
"SEO Is Dying" The Panic Is Real (But Misguided)
When Google rolled out AI Overviews (formerly SGE) and integrated Gemini-powered search, many marketers panicked. The common concern was, "If Google answers queries directly, why would users click websites?"
This sentiment reflects a fear that the traditional role of search engine optimization is diminishing [1, 2].
However, the truth is far from the demise of SEO. Instead, it is entering its most strategic and dynamic phase yet.
This article will explore how AI is not killing SEO but rather reshaping it, presenting new challenges and significant opportunities for those willing to adapt.
Building on previous discussions about AI's impact on search, this piece incorporates fresh data and insights from recent developments to illustrate why SEO professionals who embrace these changes will not only survive but thrive.
1. AI-Generated Content: The Double-Edged Sword
The rapid advancement of AI has introduced a new dynamic to content creation, presenting both threats and opportunities for SEO.
The primary concern is the potential for low-quality, AI-spun articles to flood search engine results pages (SERPs), potentially drowning out legitimate, high-quality content [3].
Google's Helpful Content Update, specifically designed to reward original, helpful content created for people rather than search engines, has further emphasized this by penalizing “SEO-first” pieces lacking depth or genuine value [4].
The Opportunity:
Despite these threats, AI offers significant opportunities for content creation and SEO when used strategically. The key lies in leveraging AI for research acceleration and content enhancement, rather than as a complete replacement for human input.
For instance, AI tools like ChatGPT can be invaluable for keyword clustering, helping to identify related terms and topics that can inform a comprehensive content strategy.
Similarly, platforms like Perplexity.ai can assist in identifying gaps in top-ranking content, providing insights into what is missing or could be improved upon in existing articles [5].
Crucially, human oversight remains non-negotiable. Google continues to reward content that demonstrates strong E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness).
While AI can generate text, it cannot genuinely possess or convey these human qualities. Therefore, content created with AI assistance must undergo thorough human review and refinement to ensure it meets Google’s quality guidelines and resonates with human readers [6, 7].
2. Semantic Search & Intent vs. Keywords
Google's AI capabilities have advanced to a point where the search engine understands user intent with remarkable accuracy. This shift signifies a move beyond traditional keyword-based SEO, where simply stuffing content with keywords was once a viable strategy. Today, keyword stuffing is largely ineffective and can even be detrimental to rankings [8].
What Works Now:
The focus has shifted to understanding the underlying intent behind a user's query and providing comprehensive, relevant answers. This has led to the rise of several key strategies:
Topic Clusters: Instead of optimizing individual pages for single keywords, SEO professionals are now grouping content around core themes or broad topics.
A central pillar page covers the main topic, linking to several cluster content pages that delve into specific subtopics in more detail. This structure helps search engines understand the breadth and depth of a website's expertise on a given subject [9].
Question Optimization: With AI's ability to understand natural language, optimizing for long-tail, question-based queries has become increasingly important. These are often questions that AI might not be able to fully answer with a simple snippet, requiring users to click through to a website for a more detailed explanation or solution. Creating content that directly addresses these specific questions can capture highly engaged users [10].
Conversational SEO: The rise of voice search and AI assistants has made conversational SEO a critical component of modern strategy. Optimizing content for natural language and the way people speak when asking questions aloud ensures visibility in these evolving search environments. This involves using more natural phrasing and anticipating follow-up questions [11].
3. AI Overviews: How to "Win" Zero-Click Searches
Google’s AI Overviews, which provide AI-generated summaries directly within search results, have indeed led to a reduction in clicks to websites for certain queries, contributing to the phenomenon of “zero-click searches” [12].
However, these AI snippets also create new opportunities for visibility and ranking. Rather than viewing them as a threat, SEO professionals can optimize their content to be featured in these prominent AI Overviews.
What Works Now:
Structured Data: Implementing schema markup (structured data) is crucial. This involves tagging content with specific data types (e.g., FAQs, How-Tos, Recipes) to help search engines better understand and categorize the information on a page. By feeding AI with clear, organized answers, websites increase their chances of being cited in AI Overviews [13].
Position 0 Optimization: AI Overviews often pull information from featured snippets, sometimes referred to as “Position 0” in search results. Optimizing content to achieve featured snippet status, by providing concise, direct answers to common questions, can therefore indirectly lead to inclusion in AI Overviews [14].
Own Your Data: Publishing original research, unique data, and proprietary insights can establish a website as an authoritative source. When content is truly unique and valuable, it increases the likelihood of being cited by AI Overviews, making the website a go-to reference point for specific topics [15].
Recommendation: While direct access to Google’s SGE Sandbox for individual monitoring is not widely available, staying updated on industry reports and Google’s official announcements regarding AI Overviews can provide insights into how content appears and performs in AI answers [16].
Conclusion
AI has not killed SEO. Rather, it has elevated its importance and complexity. The winners in this evolving landscape will be those who strategically merge AI efficiency with human insight, optimize for user intent rather than just keywords, and view AI Overviews as allies for new ranking opportunities. Adapting to these changes is not only about staying relevant, it's about thriving in the most strategic phase of SEO.
Don't hesitate to contact me at emilie.cotenceau@gmail.com if you want to know more about the best use of AI on your SEO approach.
Sources
[1] https://www.wordstream.com/blog/ai-overviews-impact-on-seo
[2] https://www.searchenginejournal.com/googles-gemini-impact-on-seo/506610/
[3] https://www.seo.com/blog/does-ai-content-work-for-seo/
[4] https://developers.google.com/search/blog/2023/02/google-search-and-ai-content
[5] https://www.semrush.com/blog/ai-content-generation/
[6] https://www.semrush.com/blog/eeat/
[7] https://www.searchenginejournal.com/role-of-eeat-in-ai-narratives-building-brand-authority/541927/
[8] https://www.semrush.com/blog/semantic-search/
[9] https://www.semrush.com/blog/topic-clusters/
[10] https://www.clearscope.io/blog/faq-seo
[11] https://www.interodigital.com/blog/the-evolution-from-semantic-search-to-conversational-search/
[12] https://searchengineland.com/google-ai-overviews-kill-click-456453
[13] https://developers.google.com/search/docs/appearance/ai-features
[15] https://www.datalily.com/blog/optimizing-for-ai-overviews-why-original-research-still-ranks
[16] https://developers.google.com/search/blog/2025/05/succeeding-in-ai-search





