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January 25.2025
2 Minutes Read

How Jellyfish's AI Tool is Transforming Brand Perception Analysis

Smartphone showing ChatGPT in front of Google search depicting brand perception.

The New Frontier: Understanding Brand Perception in AI

As consumers shift towards generative AI platforms for everyday decisions, they are changing the landscape of how brands are perceived. Traditional search engines are losing their grip, with platforms like ChatGPT becoming the go-to resource for recommendations. A survey by the Brandtech Group found that two-thirds of individuals aged 18-24 are now seeking guidance from AI models, underscoring a significant cultural shift that companies cannot afford to ignore.

Exploring AI's Share-of-Model Tool

To navigate this new terrain, Jellyfish, an innovative ad agency, has introduced an AI-driven tool known as the Share-of-Model platform. This unique tool conducts market research not through human respondents but via popular large language models (LLMs) like Anthropic's Claude and Google's Gemini. These AI entities, it seems, are becoming pivotal players in understanding brand dynamics, as their responses can directly impact consumer choices.

How It Works: The Mechanics of AI Research

Each day, Jellyfish sends targeted queries to LLMs, seeking insights on various categories, brands, and products. Questions might range from "What brand of X do you recommend?" to "What are your thoughts on Brand Y?" The collected data is fed into Jellyfish’s own AI framework, allowing for an in-depth analysis of patterns based on sentiment, keyword volume, and the responding model.

The Importance of Monitoring AI Responses

Jack Smyth, Jellyfish's chief solutions officer for AI, emphasizes that LLMs are becoming crucial members of the audience. Their perceptions help define market categories, significantly influencing consumer behavior. This shift heightens the need for brands to stay ahead of what AI models convey about them. Regularly monitoring these AI-generated insights will allow companies to adapt their strategies, maintaining relevance in a rapidly evolving marketplace.

Future Insights: AI Tools' Role in Marketing

The implications of this technology are vast. As LLMs become more integrated into the consumer experience, understanding their output could become a competitive advantage. Brands that proactively adjust their narratives based on AI sentiment analysis can better align with consumer expectations and preferences, ultimately leading to higher loyalty and engagement.

Conclusion: Embracing Change in Digital Marketing

In this age of digital transformation, the imperative for businesses is clear: Adapt or be left behind. As Jellyfish’s Share-of-Model platform demonstrates, the intersection of AI and brand perception is rapidly becoming a focal point for marketers. By leveraging these insights, companies can position themselves for success in an era where consumer relationships are increasingly mediated by artificial intelligence.

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02.02.2025

Elevate Your Marketing Game This Weekend with Essential AI Tools

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01.22.2025

Navigating Trust in AI: The Balance Between Innovation and Caution

Update The Rise of AI: A Double-Edged Sword In our tech-driven world, trusting AI has become both a necessity and a dilemma. From traffic control to medical diagnostics, we've largely accepted that computers can guide crucial aspects of our lives. However, with the advent of large language models (LLMs) like Claude.ai, the stakes are higher. Although these systems have shown promise, they also carry risks due to their error-prone nature. Defining Trust in AI: Recoverable vs. Verifiable When we consider trusting AI, it’s essential to categorize the tasks at hand. Two significant criteria stand out: Recoverable Tasks: These are tasks from which we can easily backtrack if something goes awry. For example, analyzing marketing data to adjust a campaign is recoverable; mistakes can often be corrected without major financial consequences. Verifiable Tasks: This involves inspecting the output before blindly accepting it. Asking an AI tool to suggest wine pairings based on a photo of the menu is a simple example where we can easily check its reasoning. In contrast, allowing an AI system to manage significant investments without oversight is a risky proposition. Errors could lead to disastrous outcomes, making it imperative for users to establish trust based on these criteria. The Exciting Potential of AI in Innovation One of the most thrilling applications of AI is in the field of medical diagnosis. AI tools can analyze lists of symptoms, often outperforming a human doctor. In scenarios where the cost of an error can be minimized, using AI can lead to unique insights that may save lives. Imagine the potential for more accurate diagnoses and timely interventions! The Challenge of Evolving Trust As we’ve seen AI perform successfully, there’s an inclination to trust it more deeply. Yet, the problems arise from less critical verification. Lastingly human experts may leave the room and once we grow overconfident in AI's capabilities, mistakes that are more erratic compared to human errors might emerge with greater frequency. This tendency to relax our scrutiny can lead to regret and loss. Making Informed Decisions About Trust When it comes to trusting AI, experience must guide our choices. Relying solely on AI without a foundation of verification can be unwise. The future depends on our ability to learn from mistakes. So, if we see consistent patterns of success, how long will it take before we compromise our due diligence? AI: Tool or Master? The relationship between humans and AI is evolving rapidly. You can either allow AI to work for you or risk becoming subservient to it. The choice lies in how effectively we choose to harness this technology—using it as a tool to enhance our capabilities rather than relinquishing control over essential tasks. In this era of AI innovation, it’s crucial for digital marketers, growth hackers, and innovators alike to navigate their trust in AI with caution and insight. Understanding when and how to employ AI effectively can open doors to exciting possibilities while maintaining the necessary checks and balances.

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