Black Friday/Cyber Monday 2024 marks a pivotal moment in search evolution — the first major shopping event where we could observe AI Overview behavior at scale outside of a lab environment. The BrightEdge Generative Parser™ tracked how AI adapted to peak shopping behavior, revealing some characteristics that could shape how SEO strategies should adapt in 2025 and beyond. They revealed that AI Overviews changed how they appear for queries depending on the intent, and we saw that citations became more focused on niche expertise. I’d like to discuss what the implications these changes have for the coming year and how brands will need to prepare.
Beyond Simple Growth: AI Adapts to Consumer Behaviors
While AI Overviews maintained a steady presence throughout most of the period, we observed a notable spike in their activity specifically around shopping-related queries during the Black Friday and Cyber Monday period, before returning to baseline levels. What’s particularly interesting is how these Overviews adapted their behavior to serve increasingly sophisticated shopping queries related to specific products such as specific TV (Sony Smart 55” Bravia) or printer models (Epson ET 15000).
As BrightEdge Generative Parser™ monitored shopping keywords over the holiday weekend, it showed that AI Overviews didn’t just grow in number; they grew in complexity. Average Overview height increased from 941px to 953px as presentations became richer and more detailed.
But more importantly, we observed a fundamental shift in how AI approached different query types.
The Evolution of Shopping Experience
Over the course of the holiday weekend, we observed a shift in the way AI Overviews present information. They became more elaborate and shoppable, particularly for specific product queries such as an “Epson et 15000” printer. These product viewers offer multiple details about the product such as an overview, pros and cons and where to get the best deal on them.
– Product viewer features surged 52.6%
In addition, we saw product displays for groups become more shoppable and tiled similar to what a regular product grid in organic results looks like. These allow shoppers to view a lot of products at once, and get pertinent details such as delivery options and sale prices. This is an ideal scenario for a user who is browsing a lot of styles or really hunting for the best deal possible:
– Grouped product displays increased 8.2%
These changes signaled something crucial: AI was matching presentation format to user intent in ways that made them more shoppable.
These results came as the typical un-ordered lists we’ve seen in AI Overviews decreased by 9%, suggesting Google is favoring a more comprehensive view for specific products and more grouping for broader queries
This unordered list format decreased by 9% over the holiday weekend:
The Rise of Specialized Authority
Perhaps the most telling transformation was in how AI Overviews selected their citations. Technical review sites like Tom’s Guide saw a 71.4% surge in the number of citations during Black Friday. . Consumer advocacy sites like Consumer Reports showed similar patterns, with a 23.9% jump in the numbe of citations on Black Friday.
This isn’t just about citing different sources — it’s about AI becoming more discerning in which sources it trusts for different query types. When AI is focusing more on specific product searches as opposed to generic topics, it increasingly favored specialized review sites. For consumer goods, it prioritized trusted consumer advocacy sources.
Query Patterns Reveal Future Trends
As we analyzed patterns across different query categories, another pattern was clear: AI Overviews didn’t just change how they present information — they addressed the query intent more specifically.
High-Consideration Products Evolution
The most dramatic transformations occurred in categories where users typically spend significant time researching before purchasing. Here, we saw a 52% increase in detailed product overviews that include modules such as the pros and cons, product visuals and stores that carry the product (note we began observing these faceted formats in July, but the holiday weekend was a significant expansion). When users searched for “samsung galaxy s22 ultra” or “epson 8550”, AI Overviews created comprehensive comparison environments over the holiday weekend. Similarly, home appliance queries like “masticating juicer” or “convection oven” saw AIO’s with detailed breakdowns with facets to help inform purchase decisions.
Specific product searches generated AI Overviews that helped users comparative shop faster
Keyword: Samsung Galaxy S22 Keyword: Epson ET 8550
Appliance queries receive facets that help shoppers sort by features that matter most to them:
Keyword: Masticating Juicers Keyword: Small Convection Oven
Style-Dependent Categories Break New Ground
Fashion and home décor queries revealed AI’s growing sophistication in handling visual intent. Searches for items like “cardigan sweaters” triggered a product viewer format optimized for style comparison.
In addition, category-level keywords like “winter coats” showed group carousel formats that made these queries more shoppable while maintaining their style context.
Strategic Implications for 2025
These patterns point to three critical considerations that will shape search success in 2025:
- Content Structure Must be Adaptable to New Formats
As these format presentations rise or change to adapt conditions, marketers need to be ready. Your content needs to support multiple presentation formats and be structured for AI interpretation. This isn’t just about moving away from lists — it’s about embracing formats that support AI’s increasingly sophisticated understanding of user intent.
- Authority Signals will be more Sophisticated
The dramatic increase in specialized source citations tells us something crucial about the future of search authority. Technical review sites saw a 65.3% increase in citations through November 30, while consumer advocacy citations held steady at 15.2% above baseline. This isn’t a temporary shift — it’s a sign that AI continues to get better at identifying and prioritizing genuine expertise.
- Real-Time Monitoring Is Essential
The speed at which AI Overviews adapted to changing user behavior during Black Friday/Cyber Monday reveals how critical real-time monitoring has become. Different product categories showed distinct patterns of adaptation, and these changes happened in real-time as shopping behavior evolved.
Preparing for Success
To succeed in this evolving landscape, marketers need to:
- Optimize for AI Understanding: Use BrightEdge Copilot to generate comprehensive content briefs that address all aspects of your products AI might reference.
- Establish Clear Authority: Leverage Autopilot to connect product content and demonstrate specialized expertise during peak times.
- Monitor and Adapt: Employ Instant to track real-time AI changes and citations, ensuring you can adapt during critical shopping periods.
This first large-scale observation of AI Overview behavior in the wild reveals that we’re entering a new era of search — one where success depends on understanding and adapting to AI’s increasingly sophisticated understanding of user intent!
Want to learn how to prepare your content for AI Overviews in 2025? Check out our Ultimate Guide to AI Overviews here!