In this module, I utilized AI (ChatGPT and generative image models) to promote my design project—a «Calendar-Greeting Card, ” which is a tear-off calendar composed of 365 miniature postcards created during the academic course.
I interviewed ChatGPT-4o, wrote about myself and my ChatGPT project so that it could better understand the specifics of my project and me as a designer, and provide targeted suggestions.
I asked for an analysis to be prepared, and subsequently, for an article to be written for the VC.ru platform—aiming for the most engaging post while taking the project’s specific features into account.
The neural network analyzed the most popular design articles and identified the most engaging ones. Based on this analysis, the text structure was developed: introduction, concept, core challenges, research, development process, results, and conclusion. The writing style has been adapted to my individual approach, and the entire structure is well-justified.
SEO Optimization: AI was used to select key phrases to improve article indexing on Pinterest and VC.ru: «system design, ” „mini-posters, ” etc.
I used Perplexity to analyze Pinterest videos on the topic of «design» and write a script. Then, using ChatGPT, I came up with an SEO description and attempted to edit the video, but the AI kept complaining that it couldn’t insert text into the video or create the desired transition, even though in our conversation it had suggested doing the entire edit and asked about my preferences for pacing and font. In the end, I edited everything myself; ChatGPT helped me choose the music and the font.
Results and Statistics
— Platform with the most views: Pinterest — Platform with the highest engagement (by likes): vc.ru
Conclusions: — Platform with the highest views: Pinterest — It is recommended to study the factors influencing views on this platform. — Consider improving the strategy on the Pinterest platform to increase engagement.
The publication on VC.ru garnered the most audience response, registering the highest engagement. This indicates that the topic and the visual presentation of the material successfully aligned with the platform’s users' interests. An additional factor in this success was the analytical and expert tone of the narrative, which resonates well with the professional community on VC.ru. Furthermore, it is likely that a portion of the audience was drawn from organic search, thanks to well-crafted headlines and the use of relevant SEO keywords (such as «system design,» «mini-posters,» etc.). Thus, VC.ru confirmed its effectiveness as a platform for presenting professional case studies. By more actively distributing the article—through relevant Telegram channels, comments on related posts, and mentions in specialized communities—reach could be significantly increased.
