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April 17.2025
3 Minutes Read

How Ecommerce SEOs Will Use AI in 2025: Insights From Recent Survey

Ecommerce SEOs Use AI in 2025: Futuristic data analysis with AI technology symbol and rising chart.

How AI is Revolutionizing Ecommerce SEO in 2025

Artificial Intelligence (AI) is transforming the ecommerce landscape in ways previously unimaginable. A newly published survey by SEOFOMO highlights how ecommerce SEOs harness AI for various tasks, thus increasing efficiency and driving conversions. While many have emerged as early adopters, others remain hesitant, still figuring out how to seamlessly integrate AI into their daily operations.

The Five Key Areas of AI Usage in Ecommerce

The survey identified five primary categories where ecommerce professionals utilize AI: Content Generation, Analysis & Research, Technical SEO, User Experience & Conversion Rate Optimization, and Client Documentation. This aggregate data reflects a significant deviation from traditional SEO methods, indicating a broader acceptance of AI-enhanced strategies.

Content Creation: The Heart of AI Application

One of the standout findings from the survey was the varied usage of AI in content creation. Respondents reported using AI to optimize product listings, descriptions, and meta tags, among other applications. Beyond the basics, many are exploring the potential of AI for blog posts and landing pages. However, there remains caution regarding overly relying on AI for primary content creation due to Google's warnings about low-effort content that lacks originality.

AI in Analysis & Research: A Catalyst for Insights

A particularly interesting finding pertains to the role of AI in keyword analysis and clustering. By grouping similar keywords, ecommerce SEOs can create strong pages, avoiding the pitfalls of repetitive content that often plague SEO strategies. This approach reflects a deeper understanding of Google’s evolving algorithms, which increasingly favor comprehensive topical authority over mere keyword density.

Enhancing Technical SEO with AI

AI shines brightest in the realm of Technical SEO, automating repetitive tasks and enabling quicker, data-driven decision-making. For instance, tools like Screaming Frog can integrate with AI technologies to enhance the analysis of technical guidelines. Such innovations lead to significant time savings and improved accuracy in SEO tasks.

User Experience and Conversion Rate Optimization: The AI Advantage

Another compelling area of AI’s influence is its application in enhancing user experience (UX) and optimizing conversion rates. AI tools analyze user behavior, allowing ecommerce sites to create personalized experiences, driving engagement and increasing sales. These advancements reflect how technology disruptors are playing a pivotal role in shaping consumer behavior and purchase patterns.

The Future of AI in Ecommerce SEO

As we look towards 2025, the evolving role of AI in ecommerce is poised to impact the way businesses approach SEO and digital marketing. Already, the landscape is changing rapidly, as companies are forced to adapt to new technologies and innovative marketing strategies. Those who embrace AI stand to benefit not only from enhanced efficiency but also from a competitive edge in a crowded marketplace.

Conclusion: Embracing Change in Digital Marketing

The integration of AI into ecommerce SEO strategies is no longer a choice but a necessity for businesses aiming to thrive in the digital age. As the data reveals, the future of technology-centric marketing is bright, offering untold possibilities for growth and success. Embracing these emerging technologies today can lead to significant advantages tomorrow.

Disruption

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02.06.2026

Microsoft’s Publisher Marketplace and Google Tag Update: Implications for Advertisers

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02.06.2026

Understanding Google Discover Core Update and AI Mode for Publishers

Update Google's New Discover Core Update: What You Need to Know In a pivotal move for digital marketers and content creators, Google has rolled out a core update specifically targeting its Discover feature. This update marks a departure from previous iterations, which bundled Discover changes into broader updates affecting standard Search results. Launched in February 2026, this update initially aims at English-speaking users in the United States, with plans for global expansion in the near future. Google's intention is to enhance the overall quality of Discover, a platform that has become increasingly vital for publishers. As reported, Discover accounts for about 68% of Google traffic to news websites, so this update will have significant ramifications for those relying on Discover for audience engagement. The Implications for Publishers and SEOs This targeted update brings to light a critical issue for publishers: the distinction between rankings in Discover and Search results can complicate tracking efforts. If traffic suddenly drops, it may not signify a penalty but rather a shift in how content is evaluated in the Discover feed. Publishers must closely monitor their Discover traffic through Google Search Console to understand where they stand and adapt accordingly. AI Mode: New Revenue Opportunities or Risks? Alphabet’s recent Q4 earnings call further revealed exciting yet controversial plans to monetize its AI Mode queries. CEO Sundar Pichai indicated that these queries are, on average, three times longer than traditional search inquiries. This shift suggests an expansion in ad inventory, opening doors to newer campaign mechanisms. While this can lead to innovative advertising opportunities, there is also a concern about referral traffic. As users interact more with AI-generated content, they may not click through to source content as frequently, which can impact traffic for publishers. Expert Insights on Serving Content to AI In a conversation that has stirred debate among content creators, Google Search Advocate John Mueller has expressed concerns regarding the practice of serving Markdown files to Large Language Model (LLM) bots, labeling it a "stupid idea." His remarks underscore the importance of serving standard HTML content to ensure visibility and accessibility. It raises questions about best practices and the technical aspects of AI content consumption. Future Predictions: The Importance of Adapting As Google fine-tunes its algorithms and introduces disruptive technologies, publishers must adapt faster than ever. Content strategies should take into account both traditional and new platforms like Discover and AI Mode. The future of digital marketing hinges on understanding user behavior, query types, and how Google will further evolve its ad models. In conclusion, staying updated with these shifts can help marketers and publishers not just survive but thrive in an ever-changing technological landscape. The importance of closely monitoring Google's updates and adapting content strategies will be essential for success.

02.05.2026

How the Shift From Search Sessions to Decision Sessions Transforms Consumer Behavior

Update The Transformative Shift: From Search Sessions to Decision Sessions The world of search is rapidly evolving, largely influenced by advancements in AI technology. Historically, online queries have revolved around traditional search sessions, where users seek information primarily to answer questions. However, a new paradigm is emerging—decision sessions, where the focus shifts towards making informed choices based on personalized insights. How AI is Redefining User Behavior With the introduction of AI modes in search engines, like Google's recent AI enhancements, the way consumers behave online is being significantly altered. This transition from search to decision sessions reflects a deeper understanding of user intent. Instead of merely querying for facts, users are now diving deeper, asking complex questions that demand nuanced answers. According to data, queries in AI environments are not just lengthening; they are becoming more sophisticated, bridging the gap between information gathering and decision-making. As highlighted by discussions in industry circles, this shift is not merely a technical tweak but a profound change in user habits. Advertising and marketing now face the urgent need to adapt to these evolving behaviors, where consumers expect faster and more pertinent responses. In fact, many participants in recent studies reported that algorithms equipped with personal context—like browsing history and preferences—lead to higher engagement rates and foster deeper trust. Decisions Made Easier: Why This Matters The implications of this shift towards decision sessions are noteworthy for both consumers and businesses. With AI providing immediate recommendations based on contextual understanding, users are less inclined to wade through multiple tabs or sources for information. Traditional browsing habits are giving way to streamlined processes, enabling faster decision-making. Studies show that when users receive an AI-generated summary, they are approximately twice as likely to conclude their search sessions, demonstrating a fundamental change in how online decisions are being made. Moreover, high-stakes categories, such as insurance and health, are witnessing a slower adoption of AI tools due to the complexities and uncertainties they entail. Users remain cautious and often prefer traditional methods for important decision-making, indicating a need for brands to build trust within their user base. Anticipating the Future of Search The trajectory of this transformation points towards a future where search engines are not merely repositories of information but intuitive assistants that guide users towards decisive action. As AI continues to refine its ability to synthesize information, the challenge for businesses will be to integrate this technology effectively into their marketing strategies. Brands need to ensure their presence in this AI-driven search landscape, crafting content that resonates with users who increasingly seek tailored results rather than generic listings. This calls for a reevaluation of traditional SEO strategies, with a focus on producing high-quality, relevant content that aligns with user preferences and AI capabilities. Insights and Actions for Brands To thrive in this new reality, companies should consider the following steps: enhance data accessibility to leverage AI insights, invest in creating high-quality content that meets evolving consumer needs, and utilize AI tools to streamline marketing efforts. Innovations in technology are transforming not only how we search but also how we understand consumer preferences and behaviors. This transformation beckons an exciting era for businesses ready to adapt. Embracing the shift from searching to decision-making, organizations can foster deeper connections with their customers, ensuring they remain relevant amidst the ever-changing digital landscape. As we venture deeper into 2025 and beyond, aligning strategies to harness AI's potential could determine the success of brands in navigating this competitive tech landscape.

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