Over the past year, AI providers have invested significantly in advertising, from sponsoring high-profile events like the Olympics and film festivals to running ads on TV and in taxis. This heavy promotion aims to capture the public’s attention amidst a crowded media landscape.
To gauge the impact of these efforts on social media, Digiday collaborated with Sprinklr to analyze how often AI-related terms and hashtags are mentioned in social media posts throughout 2024.
Sprinklr’s analysis focused on social media content from major tech companies, examining mentions of terms like “AI,” “Generative AI,” and “GPT Powered.” This analysis revealed how these companies describe their AI products and highlighted which AI entities are generating the most discussion. Notably, OpenAI led the conversation with 123,000 mentions, followed by Google, Apple, and Microsoft, indicating which AI players are most prominent in social discourse.
AI Providers Boost Ads, Analyze Impact on Social Media with ChatGPT Leading Mentions
The study also measured global user mentions of AI products. ChatGPT emerged as the most frequently discussed AI product with over 4.3 million mentions. Other notable mentions included Gemini with 475,000, Copilot with 144,000, and Firefly with 57,000. This data underscores the varying levels of public engagement with different AI technologies.
While the analysis provided valuable insights, it did not encompass every major AI product or its social media presence, such as those from Amazon Q, Meta AI, and IBM Watsonx. Nevertheless, it offers a snapshot of how AI is being discussed online, revealing that both companies and users are actively engaging with AI topics, often highlighting functional aspects like “create,” “learn,” and “build.”
The sentiment of these discussions is also crucial, with companies frequently using positive language to describe AI. However, understanding broader public sentiment is essential for addressing concerns and managing expectations.
The effectiveness of AI marketing is also influenced by the balance between high-level enterprise solutions and consumer-facing tools, with a need for messaging that caters to both technical audiences and the general public. This nuanced approach is necessary as AI continues to evolve and integrate into various aspects of life and business.
