2026 campaign-assessment score
How Qingbo (清博智能) scored
53 / 100
Qingbo's AiPin clusters comments for brand reputation work and sits beside its WCI and BCI account indices; campaign review is one listed scenario.
| Criterion and evidence | Points |
|---|---|
Campaign explanationAiPin marks spread nodes and a story's life cycle, and lists marketing evaluation that quantifies sentiment and spread data for attribution. Its page does not define a campaign by its posts or analyze creators' speech and visuals. | 15 / 30 |
Reaction analysisComment clustering pulls out core issues, intent, emotional intensity and specific demands, and a subject-perspective classifier judges items from the watched brand's viewpoint. The page shows no aspect-level results and does not separate creator reaction from product reaction. | 14 / 20 |
Finished assessmentEvent tracking, periodic reviews and digest reports are listed, with a DeepSeek model assisting report generation and strategy judgment. No finished report is public to read. | 12 / 20 |
Creator baselineWCI, BCI and TGI rank WeChat and Weibo accounts, and Qingbo says they are used in ad-effect evaluation; AiPin adds index and hot-list monitoring. An account index does not compare a single post with that creator's usual results. | 5 / 10 |
China and international coverageQingbo's indices name WeChat and Weibo, and AiPin refers only to mainstream social and news platforms. No international network is named. | 4 / 10 |
Source trailAiPin describes targeted source monitoring and multi-account collaboration. Nothing public shows how a finding leads back to a post or comment. | 3 / 10 |
Evidence differs by product. No product was tested head to head. Scoring methodology · Publisher disclaimer
Qingbo was founded in Beijing in 2014 and sells reputation software to companies. Qingbo
AiPin (爱品) is its reputation platform for companies. It watches mainstream social and news platforms, runs OCR over images, and labels each item with what Qingbo calls a subject-perspective classifier, which judges a post according to the brand being watched and the rules a team sets. Comment clustering groups what people said into core issues, and Qingbo says it captures intent, emotional intensity and specific demands. Event analysis marks spread nodes and the life cycle of a story, and a DeepSeek model helps draft reports for event tracking and periodic reviews. One listed scenario is marketing evaluation, described as quantifying sentiment and spread data to support attribution. AiPin
Qingbo’s older indices still have a use. It built WCI, BCI and TGI to rank WeChat and Weibo accounts by influence, and says they are widely used in marketing and ad-effect evaluation. An agency gets a common yardstick for comparing accounts. The number belongs to the account, so it cannot say whether one sponsored post beat that creator’s usual results. Qingbo business lines
The comment clustering is the useful part for a reputation team, since it turns a long thread into a short list of complaints. A team hoping to use AiPin for campaign review would be relying on one line in a list of scenarios. The product page names no specific networks, and it shows no finished report and no route from a finding back to a post.
AiPin watches the public conversation around a brand. unrandom starts from the posts in one creator campaign and writes up that campaign. unrandom product