This research consists of two core aspects aimed at enriching the effectiveness of place branding strategies. The first segment highlights the significance of place experiences in shaping compelling place brands. It introduces an innovative methodology that employs social media data analytics to comprehend these influential yet transient moments. The study revolves around 20 notable Nordic cities, analyzing both shared and distinctive facets of their place experiences. Additionally, it investigates the influence of the COVID-19 pandemic on these experiences. Drawing from a dataset of 1,943,772 tweets related to these cities spanning 2017 to 2022, the research utilizes techniques such as topic modeling, word analysis, and principal component analysis to extract meaningful insights and visually portray these place experiences.The second part of the research is devoted to the pragmatic utilization of generative AI in the realm of place branding. While logos, branding campaigns, and slogans have been criticized for their superficiality, they possess the potential to establish robust place brands and convey narratives. To integrate distinctive experiences into branding, this study harnesses generative AI tools like Midjourney and ChatGPT to craft logos, branding campaign names, and slogans for city branding. This section primarily centers around Midjourney, exploring six distinct approaches:1. Direct Prompt: This involves minimal human intervention.2. Stylistic Prompt: In this approach, the prompt is structured to include stylistic elements.3. AI-Augmented Prompt: This uses ChatGPT to generate words for logo creation.4. AI-Interpreted Prompt: ChatGPT generates logo ideas before being used in Midjourney.5. Research-Augmented Prompt: Insights from research enhance the prompt.6. Research-Interpreted Prompt: Research inputs guide the interpretative process for logo creation.Leveraging generative AI for the production of logos, campaign names, and slogans offers several potential benefits. Firstly, it facilitates cost-effective, rapid generation of diverse branding materials in various styles, presenting a substantial advantage compared to investing heavily in consultants. Secondly, the low skill threshold required for generative AI enables various stakeholders to engage in collaborative branding material creation. Thirdly, the ability to tailor inputs, such as place experiences, ensures the production of distinctive materials that accurately encapsulate a city's unique attributes. Furthermore, the research suggests future applications of generative AI in place branding, encompassing other related brand aspects like image, identity, and positioning.However, the application of generative AI in place branding is accompanied by specific limitations. Firstly, the opacity of the algorithmic and generative AI process may result in selective generation of certain terms, potentially deviating from the authentic experiences or attributes of a city. Secondly, concerns related to copyright and ethical considerations persist when employing generative AI for crafting branding materials. Thirdly, the proliferation of AI-assisted branding materials could raise queries about their intrinsic value, potentially diluting the overall efficacy of branding efforts. Lastly, human intervention remains essential to ensure the appropriateness and effectiveness of materials, as AI-generated content may not consistently align with intended purposes.