#Japan #ChatGPT #Gemini #Chiyoda #WACUL

Insights on SEO and Generative AI

In a rapidly changing digital landscape, WACUL, a leading company in marketing DX, presents critical findings from a study that investigated the relationship between traditional SEO efforts and recommendations from generative AI models.

The study specifically analyzed 1,176 responses from three well-known generative AI models: ChatGPT, Gemini, and Claude. The initial question posed to each model was, "Can you recommend a good computer class?" The responses were then compared to evaluate how often the client company was recommended by each AI model.

Key Findings

The results revealed significant variability among the AI models' responses:

• - On average, ChatGPT recommended the client company 9 times.
• - Gemini had a higher average of 22 recommendations.
• - Claude surprisingly did not yield any recommendations.

Interestingly, the data also noted that within the Gemini model, the recommendations remained relatively stable day-to-day, with an average fluctuation of ±4 recommendations. In contrast, ChatGPT showed a mere 11.7% overlap between the sources it referenced and those that ranked within the top 10 search results.

The Implications of These Findings

As businesses increasingly turn to generative AI tools, understanding this technology's operation has become essential. The study suggests that securing a high SEO ranking does not necessarily translate to being recommended by generative AIs. For companies, this poses new challenges and a need to rethink their marketing strategies to adapt to this evolving landscape.

Moreover, it's becoming evident that generative AI assessments rely on their distinct recommendation logic, making it imperative for businesses to keep a close eye on how they are perceived by these AI systems. Failing to do so may lead to missed opportunities as companies vie for visibility in AI-driven contexts.

Recommendations for Businesses

1. Monitor and Adapt - Companies should regularly assess how they are viewed and recommended by various generative AI models. This can help in making strategic shifts in how they present themselves online.
2. Understand AI Logic - Grasping the underlying logic that AI models use for evaluations can foster long-term advantages. By delivering consistent, credible information, businesses can build trust and improve their chances of being recommended.
3. Strategic Long-term Engagement - Instead of seeking quick fixes to game the AI systems, companies should focus on a robust, trust-building approach, laying down the foundation for lasting competitive edge.

Conclusion

As evidenced by this study, the intersections between SEO and generative AI are complex and constantly evolving. WACUL's insights shed light on this crucial aspect of digital marketing, urging companies to engage with these tools thoughtfully and proactively to maximize their digital visibility and recommendations.

For further details and future updates, businesses are encouraged to stay connected with WACUL, a trailblazer in leveraging big data and innovative strategies to navigate the ever-shifting digital marketplace.