Adapting to AI: Cultural Insights Drive Better Social Commerce
As generative artificial intelligence becomes deeply integrated into the content creation pipeline, many brands feel pressured to output massive volumes of social media posts. However, a new study published by Social Media Today, in collaboration with marketing research firm Warc, suggests that strategy might be counterproductive. Surveying four hundred marketers across major global regions, the report emphasizes that cultural relevance and deep community alignment are far more critical to successful marketing campaigns than the volume of automated posts.
The report introduces the concept of "cultural intelligence," which is the capability to capture what communities value in real time and respond with organic, native content rather than standard AI-generated materials. While generative AI tools are highly beneficial for scaling up workflows and brainstorming concepts, they often struggle with writing compelling scripts or maintaining creative originality. Without localized cultural inputs, AI-assisted content can easily feel generic and fail to build genuine connections with audiences.
For Iranian creators and e-commerce stores navigating platforms like Instagram and Telegram, these findings hold substantial value. With limited access to official advertising features, Iranian SMM specialists frequently resort to bulk content creation to capture algorithmic attention. This research shows that relying on AI tools to mass-produce shallow content will likely fail to engage users. Instead, businesses should utilize AI to analyze local trends, refine their briefs, and draft highly localized hooks that directly address the immediate pain points and inside jokes of their targeted Persian-speaking demographics. True optimization means using technology to learn faster, not just post more often.
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Haniyeh Babaei
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