To approach both the flyer and LinkedIn post tasks, I began by deeply understanding Kazam’s audience—facility managers, developers, infra consultants, and clean energy adopters. Using tools like Perplexity AI, I identified the pain points they face: limited grid capacity, high installation costs, regulatory friction, and low ROI on EV infrastructure or rooftop solar.

I then used ChatGPT, Claude, and DeepSeek to analyze Kazam’s brochures, product pages, and blog content, ensuring I accurately captured product features, technical capabilities, and the brand’s tone of voice. This helped align messaging with Kazam’s value proposition: compact, install-ready chargers and open, interoperable energy trading via Kazam Buzz.

For the flyer, I focused on persuasive copy rooted in real benefits—fast installation, load balancing, zero ground space—and ended with a CTA tailored to the INFHRA audience.

For the LinkedIn post, I blended storytelling with technical clarity, using familiar analogies (like “sabzi mandi for electricity”) to simplify peer-to-peer energy trading, and positioned Kazam Buzz as a category-defining innovation.

Throughout, I combined data-backed writing, empathy for the reader, and industry-specific storytelling to ensure the content resonated with both professionals and early adopters.