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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.

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01.31.2026

AI Brand Recommendations Change with Each Input: Insights on Consistency

Update Shifting Landscapes: The Variability of AI Brand Recommendations Recent research by SparkToro has shed light on a perplexing aspect of artificial intelligence tools: the inconsistency of brand recommendations. It reveals that generative AI platforms such as ChatGPT and Google’s AI search features return radically different outputs nearly every time they are queried, even with identical prompts. The study conducted by Rand Fishkin, SparkToro co-founder, alongside Patrick O’Donnell from Gumshoe.ai, found that less than 1% of repeated queries returned the same brand list. This staggering statistic raises questions about the reliability and practical use of AI recommendations in marketing and consumer decision-making. The Research: Methodology and Results To gather their data, the researchers ran 2,961 queries across three different AI platforms utilizing 600 volunteers. They tested 12 specific prompts, focusing on categories like chef’s knives and digital marketing consultants. The results were striking: each response varied not only in the brands listed but also in the order of those recommendations. Despite the diverse prompts, a handful of brands like Bose, Sony, and Apple frequently emerged, illustrating a degree of consistency in brand presence amidst the chaos. This highlights that while the exact outputs differ, the semantic landscape of brand consideration remains somewhat stable. Implications for Marketers: Rethinking AI Ranking Systems This study calls into question the approach many companies have taken towards “AI ranking position” as a meaningful metric. With the lack of repeatability, brands may be throwing money at tools that claim to track rankings in AI without sufficient evidence of their effectiveness. Fishkin pointed out, “any tool that gives a ‘ranking position in AI’ is full of baloney.” Instead, he suggests focusing on how often a brand appears across myriad prompts as a more reliable indicator of visibility. Understanding User Intent: The Role of Prompts An interesting facet of the findings is how real users craft their prompts. The diversity in how 142 participants approached a simple query about headphones leads to a semantic similarity score of only 0.081—much lower than expected. Fishkin used the analogy of “Kung Pao Chicken and Peanut Butter” to emphasize that although prompts can share core intent, they often diverge dramatically in content and structure. This variation further complicates the AI’s ability to provide consistent recommendations. Future Predictions: What's Next for AI and Brand Recommendations? The implications of this study stretch beyond just marketing budgets. As AI technology continues to evolve, understanding its limitations will be crucial for businesses. Companies should recalibrate their expectations surrounding AI-generated recommendations, embracing the chaos rather than relying on consistent outputs. Future advancements may focus on the creation of tools that can synthesize user intent more effectively while managing the inherent unpredictability of AI outputs. As we look towards 2025 and beyond, continued innovation in artificial intelligence will be essential, sparking new methodologies for interpreting AI data. Conclusion: Rethink AI Tools' Reliability As organizations look to leverage AI for marketing and product recommendations, it's clear that a shift in strategy is necessary. This research highlights the significance of focusing on brand visibility rather than rigid ranking systems. Businesses must adapt to this new reality, acknowledging that with AI, consistency may not be a guarantee but potential consumer insight remains ripe for exploration.

01.31.2026

How Google Analytics Will Become a Business Growth Engine for 2025 and Beyond

Update Transforming Google Analytics Into a Business Growth Engine In a pivotal shift for digital marketers, Google Analytics 4 (GA4) is poised to evolve into a comprehensive growth engine for businesses, as shared by Group Product Manager Eleanor Stribling in a recent episode of the Google Ads Decoded podcast. The future of Google Analytics appears brighter, promising a user-centric approach over its predecessor, Universal Analytics, which often left marketers feeling lost. With the right improvements, GA4 could redefine how businesses understand their consumer data. Understanding the Two-Phase Vision for GA4 Stribling outlined a two-phase vision for GA4 that aims to optimize data utilization for marketers. This evolution will take place in two significant stages: the immediate focus on cross-channel measurement and the longer-term goal of establishing GA4 as a powerful decision-making platform. During the first stage, the goal is to unify channel reporting, enabling businesses to assess how various media interact throughout the entire customer journey. This will empower companies to make informed decisions with clarity about which strategies are yielding results. The far-reaching aspiration is for GA4 to become a "growth engine", which Stribling describes as creating a level of analytics that democratizes insights across organizations. Ultimately, this means every team member, regardless of their technical proficiency, can draw actionable intelligence from data. AI Integration: The New Layer of Insight A significant component of this vision is the incorporation of AI to enhance the capabilities of GA4. By leveraging artificial intelligence, Google aims to provide predictive analytics and tailored recommendations that support in-flight campaigns and budgeting decisions. This is crucial for marketers today as they navigate the complexities of digital advertising and strive to align budgets with tangible user engagement metrics. Addressing Marketer Concerns: A Focus on Usability Feedback from the marketing community has been clear: GA4's functionality needs to be more intuitive. Stribling acknowledged this chokepoint, recognizing that many marketers have struggled to adapt to the new platform. By addressing usability issues, Google hopes to ease the transition for these users, ensuring they can maximize the potential of their analytics setup. This requirement for accessibility reflects a broader movement across tech to optimize user experiences, ensuring that tools like GA4 truly serve their intended audience. Best Practices: Making the Most Out of GA4 Marketers seeking to harness GA4's full power should not rely solely on the default settings. Implementing key optimizations, such as creating custom events for high-value actions—like form submissions and product inquiries—can significantly enhance the relevance of the collected data. Additionally, linking GA4 with Google Search Console will present valuable keyword performance insights for businesses. To further improve data integrity, cleaning up default channel groupings will ensure traffic is properly categorized, offering clearer insights into the efficacy of marketing channels. Looking Ahead: Google Analytics in the Future The trajectory set by GA4 signifies its potential to disrupt how digital marketing is executed in the coming years. As businesses tap into enhanced capabilities, this platform may not only assist in traceability and reporting but could emerge as a critical decision-making ally. This powerful evolution reinforces the need for businesses to maintain a robust foundation of data, thereby positioning themselves to capitalize on future analytical advancements. In sum, the latest advancements in GA4 highlight that understanding data can drive true business outcomes. As marketers look towards 2025 and beyond, those who actively engage with GA4 will unlock its transformative potential, leading to smarter decisions and strategic growth.

01.30.2026

Discover How Visibility Compounds in Brand-Led SEO Strategy

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