Achieve daily revenue of 100-200 yuan by using AI tools to publish "exaggerating cities" content in watermelon videos
Achieve daily revenue of 100-200 yuan by using AI tools to publish "exaggerating cities" content in watermelon videos
Monetization Angle
The play is platform creator revenue on Watermelon Video: AI-generated city-hype videos — enthusiastic praise pieces about a specific city's food, attractions, and notable figures — published at volume, with earnings reported at 100–200 yuan per day during the format's peak window in 2024–2025.
Nothing is sold directly to the viewer; revenue scales with views. That makes the operational levers click-through rate and cadence: newsletter-style titles that lend the piece a sense of authority, covers tuned from platform feedback, and a steady upload rhythm that keeps the recommendations flowing. Because the format is template-shaped, one city that performs well can spin into a series, which keeps returning viewers on the same topic.
Best For
Complete novices. The case describes the workflow as easy to use and novice friendly — basic computer skills and a simple understanding of AI tools are the entire entry requirement, and the generation step is essentially paste-and-produce.
It suits solo operators in the Chinese short-video ecosystem who want a repeatable daily production loop rather than a creative project. As of late 2026, it only suits newcomers who accept that this exact niche is saturated and are using it to learn the workflow before pointing the same loop at an under-served topic.
Difficulty
Easy to use, novice friendly — just basic computer skills and a simple understanding of AI tools. The AI side does the heavy lifting on video generation, and the editing happens in the same app family.
The case is blunt about the caveats: creators need to mind the quality and originality of their content and avoid leaning so heavily on AI-generated output that everything homogenizes. Copyright matters too — all materials used must be legally authorized. Making the video is the easy part; the discipline is making it worth watching.
Workflow
The loop is gather, generate, publish, adjust — repeated per city, in batches. Production is fast enough that the bottleneck becomes topic selection and review discipline rather than video creation, so plan the week around which cities to cover, not how to edit.
- Pick a specific city and gather positive information about its food, attractions, celebrities, and more using search engines such as Baidu.
- Shape that research into short, glowing copy — this format is open praise for the city, not neutral reporting.
- Paste the copy in and generate the video using the Picture-to-Picture feature of the Picture app or its desktop version.
- Select or customize AI-generated video styles and character models so each video carries a consistent, attractive look.
- Use the AI tools to generate the video and adjust the parameters until the content is both attractive and accurate — wrong facts about a city destroy the authority the format depends on.
- Review every generated video before upload instead of publishing AI output blind.
- Upload the video to the Watermelon Video platform with a newsletter-style title that adds a sense of authority to the piece.
- Watch platform feedback and adjust: optimize the title and cover design to improve click-through rates, then feed what worked into the next batch of city videos.
Case Review
Read this one with its dates attached. The 100–200 yuan per day figures belong to the 2024–2025 wave of AI content monetization on Chinese social platforms; as of late 2026 the niche is largely saturated, entry-level versions of the format are mass-produced, and distribution thresholds have risen. The numbers describe an earlier window, not the present.
What survives is the method: pick a specific topic, batch-produce with AI but review every video by hand, publish consistently, and let platform feedback drive title and cover iteration. The warnings are equally durable — homogenized AI output collapses quality, and unlicensed material creates copyright exposure. Point the same workflow at whichever niche is under-served today and it still pays; run it on city-hype content in 2026 and you are arriving late to a crowded room. For a novice, that is the actual lesson this case still teaches: the workflow, not the niche, is the transferable asset. As CapCut's own site describes it today: A Chrome extension 'CapCut Online Video Editor' is advertised to start editing with one click (https://www.capcut.com).
Tools Used
- The Picture app (mobile or desktop) — its Picture-to-Picture feature turns pasted copy into generated video.
- AI-generated video styles and character models — set the consistent look of each city video.
- Screen-clipping app or desktop screen clipping — video editing and generation. Current official positioning: Multi-platform availability: desktop apps for Windows/Mac, mobile apps for iOS/Android, and editing directly in the web browser ('Edit online anytime, anywhere') (https://www.capcut.com)
- AI-assisted authoring tools — quickly generating the copywriting and video content.
- Baidu and other search engines — collecting the city information and materials that feed each video.
- Watermelon Video — the publishing platform where the creator revenue accrues. Official site: undefined. Official site: https://www.ixigua.com