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Is SEO Dying? Google Weighs In on the Future of Search Optimization!

  • August 22, 2025
    Updated
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Key Takeaways

  1. Google experts refute the claim that SEO is dying, emphasizing its role in AI-driven search technologies like Retrieval Augmented Generation (RAG).
  2. Significant traffic declines due to opaque AI algorithms highlight challenges for small and large publishers.
  3. Natural language and multi-turn queries are replacing traditional keyword-based strategies.
  4. Transparency, adaptability, and innovation are critical for SEO’s continued relevance in an AI-centric ground.

The integration of Artificial Intelligence (AI) into search engines like Google has sparked debates about the future of Search Engine Optimization (SEO).

Google’s Search Off the Record podcast recently tackled this topic, exploring whether AI marks the end of SEO as we know it.

While Google’s experts argue for SEO’s resilience, industry professionals and publishers point to real-world challenges stemming from AI’s increasing role in search algorithms.


The Discussion at a Glance: Google’s Stance

Google’s experts, including John Mueller, Gary Illyes, and Martin Splitt, emphasized that SEO is not dying but evolving.

They pointed to advancements such as Retrieval Augmented Generation (RAG) as evidence of how traditional SEO practices, like crawling and indexing, remain relevant in AI-powered search environments.

Gary Illyes highlighted the long-standing narrative of SEO’s decline:

“I mean, SEO has been dying since 2001, so I’m not scared for it. Like, I’m not. Yeah. No. I’m pretty sure that, in 2025, the first article that comes out is going to be about how SEO is dying again.”

John Mueller explained how SEO ties into AI-driven search engines via RAG:

“And, when you talk about kind of the retrieval augmented part, that’s basically what SEOs work on, like making content that’s crawlable and indexable for Search and that kind of flows into all of these AI overviews.”

These statements underscore Google’s belief that SEO is evolving to accommodate AI-driven changes rather than becoming obsolete.


What is Retrieval Augmented Generation (RAG)?

RAG is a method by which AI retrieves information from external sources, such as search indexes or knowledge graphs, to generate accurate and contextually relevant answers.

Martin Splitt provided an analogy for RAG:

“Probably nowadays it’s much better and you can just show that, like here, you upload these five documents, and then based on those five documents, you get something out of the bag.”

This explanation highlights how traditional SEO practices, like ensuring crawl and indexable content, remain crucial in an AI-driven ecosystem.


Challenges for Publishers: The Real Impact of AI on SEO

While Google paints a largely optimistic picture, the broader publishing industry is grappling with significant challenges brought about by AI’s integration into search algorithms.

Many publishers have reported substantial traffic losses due to Google’s backend AI algorithms prioritising authoritative and topical content.

The Decline of Organic SERPs

The “ten blue links” format of search engine results pages (SERPs) has become obsolete.

Instead, AI-powered interfaces now provide dynamic, conversational answers, reducing reliance on traditional organic search results.

This shift is particularly challenging for content creators who optimized their strategies for keyword-based queries.

Natural Language and Conversational Queries

AI enables users to interact with search engines through multi-turn, conversational queries.

This transition from traditional keyword queries poses a dilemma for SEOs: how to optimize content for conversational search behaviors while maintaining relevance in AI-powered systems.


The Capricious Nature of AI Algorithms

One of the most pressing concerns for publishers and SEOs is the unpredictability of AI algorithms.

Critics describe Google’s backend processes as “capricious,” with sudden and unexplained traffic fluctuations that disrupt long-term planning.

This unpredictability leaves many publishers struggling to adapt and maintain visibility.

The Industry’s Call for Transparency

Publishers have repeatedly called for greater transparency from Google regarding how its algorithms evaluate authority, relevance, and topicality.

Without clear guidelines, it becomes increasingly difficult for smaller publishers to compete with larger, more established players.


Broader Concerns: Is Publishing in Decline?

The debate extends beyond SEO to the publishing industry as a whole.

With AI-driven search interfaces like Google’s Gemini app gaining prominence, some experts argue that the real question isn’t whether SEO is dying but whether publishing itself is at risk.

The reduced visibility of independent and niche content creators in an AI-centric world highlights the need for a more balanced approach to algorithmic prioritization.


Key Trends Shaping the Future of SEO

As traditional practices like keyword optimization and organic search results adapt to new technologies, it’s crucial to identify the key trends that will shape the future of SEO.

  • Conversational Search Revolution: The rise of natural language and multi-turn queries demands a shift from traditional keyword strategies to content designed for dynamic, conversational search interactions.
  • RAG as the New SEO Standard: Techniques like Retrieval Augmented Generation tie SEO to AI-powered search systems, ensuring content remains discoverable and relevant.
  • Erosion of Traditional SERPs: The transition away from “ten blue links” to dynamic AI interfaces challenges SEOs to rethink their optimization strategies.
  • Algorithmic Volatility: The unpredictability of AI-driven algorithms creates uncertainty for publishers, particularly smaller players who lack the resources to adapt quickly.

Practical Steps for Publishers and SEOs

To maintain visibility and relevance in AI-driven search environments, adopting actionable strategies is essential.

  • Optimize for Conversational Search: Create content that aligns with user intent, focusing on natural language and contextual relevance.
  • Leverage Structured Data: Ensure your content is crawlable and indexable by employing structured data techniques.
  • Adapt to RAG: Focus on creating fact-based, authoritative content that supports AI-driven retrieval processes.
  • Advocate for Transparency: Join industry-wide efforts to demand clearer guidelines from Google about its algorithmic decisions.

SEO is not on a “dying path” but is undeniably undergoing a transformation.

Google’s insistence that traditional practices remain relevant reflects a broader trend of adaptation to AI-driven technologies like RAG.

However, the challenges publishers face—ranging from declining traffic to opaque algorithms—highlight the need for innovation and transparency.

With AI-driven volatility reshaping visibility overnight, it’s more important than ever to understand AI and the future of SEO and how these emerging models will inform your next optimization move.


Practical Steps for Publishers and SEOs

For publishers, marketers, and SEOs, the path forward involves embracing AI as a tool for growth rather than a threat.

The industry can navigate this transformation successfully by focusing on adaptability, user intent, and collaboration with AI systems.

The future of SEO is not about resisting change but evolving to meet it head-on.

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December 30, 2024: Google Search AI Overviews May Soon Feature Gemini-Inspired Designs!

For more news and insights, visit AI News on our website.

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Khurram Hanif

Reporter, AI News

Khurram Hanif, AI Reporter at AllAboutAI.com, covers model launches, safety research, regulation, and the real-world impact of AI with fast, accurate, and sourced reporting.

He’s known for turning dense papers and public filings into plain-English explainers, quick on-the-day updates, and practical takeaways. His work includes live coverage of major announcements and concise weekly briefings that track what actually matters.

Outside of work, Khurram squads up in Call of Duty and spends downtime tinkering with PCs, testing apps, and hunting for thoughtful tech gear.

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“Chase the facts, cut the noise, explain what counts.”

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  • Covers model releases, safety notes, and policy moves
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  • Publishes a weekly AI briefing for busy readers

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