As search engines evolve and customer expectations shift, staying ahead requires more than traditional optimization tactics. AI-powered tools are now at the forefront, enabling businesses to enhance content relevance, automate labor-intensive processes like category page creation, and uncover deeper insights to drive visibility.
For ecommerce brands, the stakes have never been higher. With thousands of products to manage, dynamic search algorithms, and the rise of AI-driven tools like ChatGPT and Google AI Overviews, navigating this landscape can feel overwhelming. However, the right tools can simplify the process, helping you not just adapt but thrive in this new environment.
Learn how AI-powered tools are reshaping SEO, empowering businesses to not only keep up with the evolution of search but also dominate the ecommerce space in 2025.
Google’s AI overviews and personalized search features are shifting how content is ranked.
According to Dan Hinckley, Partner at Go Fish Digital (an Agital company), “Google is prioritizing AI-generated overviews at the top of search results, reshaping how users interact with information, while emerging platforms like ChatGPT are rapidly gaining traction, achieving a record-breaking 100 million users in an unprecedentedly short time.”
Key challenges for ecommerce businesses include:
Maintaining content quality across thousands of pages is a common ecommerce challenge. Go Fish Digital’s Compression Ratio Tool uses AI to score pages based on how compact the content is on each page.
Dan explained, “The more a page can be compacted with a higher compression ratio, the more likely it’s not adding unique value.”
Essentially, this means that pages with repetitive or redundant content tend to compress more efficiently, as there isn’t much distinct or novel information present.
High compression ratios indicate that a page may be reusing the same phrases or offering little original insight, making it less valuable to both users and search engines. By identifying these pages, you can focus on improving or replacing them with richer, more meaningful content that better serves user intent and aligns with search engine algorithms.
Use Case: Large ecommerce sites can use the Compression Ratio Tool to identify and prioritize low-performing pages for improvement.
Quick Tip: Focus on pages with compression scores above 4 to enhance search performance.
Scaling content creation is crucial for ecommerce businesses with extensive inventories. Chris Long, VP of Marketing at Go Fish Digital shared how AI tools streamline this process: “In about 10 minutes, we generated descriptions for 250 category pages on Steve Madden’s site.”
This highlights the incredible efficiency and scalability of using AI-driven tools for ecommerce content creation. Traditionally, creating detailed, unique descriptions for hundreds of category pages would require a significant investment of time and resources, often involving a team of copywriters.
However, by leveraging AI tools like Screaming Frog integrated with OpenAI’s API, the process becomes almost instantaneous.
The AI tool can analyze the content on each category page, understand its context (e.g. shoes, accessories, or handbags), and generate concise, optimized descriptions tailored to each category.
These descriptions not only improve the user experience by providing relevant information but also enhance the page’s search engine visibility by adding structured, keyword-rich content.
While the AI-generated text might not be perfect, it provides a strong starting point, significantly reducing the workload for copywriters who can then fine-tune the content for brand voice and accuracy.
Benefits:
Relevance to target keywords is the cornerstone of effective SEO. Google’s BERT model evaluates how well your content aligns with search queries. Chris noted, “It provides a numerical score to identify which sections of your content are optimized and which aren’t.”
Go Fish Digital’s Similarity Score Extension tool analyzes the alignment between your content and specific target keywords, assigning a numeric value to different sections of your webpage. This score helps pinpoint where your content excels in matching search intent and where it falls short.
For example, if a webpage is optimized for the keyword “Christmas tree,” the extension will assess every section of the page—titles, headers, body text, and metadata—to determine how well each aligns with that keyword. It uses AI models, like Google’s BERT, to evaluate semantic relevance, rather than just keyword density.
A higher score in a specific section of your page indicates strong optimization, while lower scores flag areas that may require better alignment or additional information to improve relevance.
This functionality is especially powerful for ecommerce businesses, as it allows you to optimize at a granular level. By focusing on underperforming sections, you can improve the overall SEO health of your pages. The Similarity Score tool’s insights can also guide strategies like adding new content, rephrasing existing text, or enhancing internal linking, ultimately improving both user experience and search rankings.
Example: Analyzing Target’s Christmas tree page revealed which sections needed optimization through a heatmap-style analysis.
Actionable Insight: Aim for a score above 8.2 to increase first-page ranking potential.
AI-driven search features, like ChatGPT and Google AI Overviews, reward content that is contextually rich and semantically relevant. Chris explained, “Content must be contextually relevant across multiple semantic relationships, not just a single query.”
This means that effective content in today’s AI-driven search landscape goes beyond simple keyword matching. Search engines like Google and platforms like ChatGPT evaluate the depth and breadth of your content’s relevance by analyzing how well it connects to related topics and concepts within a given subject area.
For instance, if you’re targeting the keyword “Christmas tree,” it’s not enough to repeatedly mention that term. Your content should also include contextually related topics, such as “different types of Christmas trees,” “best decorations for Christmas trees,” “how to care for a Christmas tree,” and even broader related ideas like “holiday traditions” or “sustainable tree options.”
These interconnected relationships signal to search engines that your content provides comprehensive, authoritative insights into the topic.
After updating their digital PR page with “notable clients in a key-value pair format,” Go Fish Digital saw enhanced visibility in ChatGPT search results, demonstrating the impact of AI-driven optimization.
1. Customer Review Clustering for Product Pages
Customer reviews are a treasure trove of unique content. Dan shared how AI can cluster reviews into themes:
“We take all reviews, cluster them into themes, and create summaries like ‘What others say about this product.'”
Benefits:
2. Barracuda AI Tool: Comprehensive Page Analysis
Barracuda is a proprietary tool that analyzes content gaps, internal linking opportunities, and semantic relevance. Dan noted, “It helps us quickly provide insights on content gaps, entity usage, and competitor performance.”
Key Features:
Are you leveraging AI to drive your SEO goals forward? You should be, because AI is no longer optional for ecommerce SEO—it’s essential. Tools like the Compression Ratio Tool, Barracuda, and the Similarity Score Extension empower businesses to navigate the evolving search landscape with confidence.
Prepare for 2025 with these actionable steps:
Ready to revolutionize your ecommerce SEO strategy? Schedule a demo today and discover how AI-powered tools can drive success for your business.
Or learn more from Chris and Dan in their on-demand webinar, “AI-Powered SEO Strategies for 2025.”