Chuangxinzhong Tops ByteDance Jichuang 2.0 Agency Rankings

According to a PR Newswire release syndicated by Manila Times and Yahoo Finance, Chuangxinzhong, a precision marketing subsidiary of Yeahka (9923.HK), has become the top-ranked partner by model consumption among agency-tier partners of ByteDance's Jichuang 2.0 model. The release attributes a 116% year-on-year increase in model usage to the deployment of AI agents beginning in May. The same release reports a 33% increase in AI content production capacity, enabling daily generation of 30 to 40 video ad creative sets. The release states monthly AI-generated ad spend linked to the collaboration rose from RMB 5 million to RMB 10 million. The release also reports that Chuangxinzhong previously ranked first in AIGC spend in the financial lead-generation sector during a ByteDance digital human ad incentive competition, and set an industry record of an 80% reduction in per-asset cost alongside a 391% week-on-week increase in consumption.

Industry-pattern observations: Deploying AI agents to automate manual steps and orchestrate model calls is a common approach teams use to scale AIGC workflows. For practitioners, increasing model consumption by 116% while expanding asset throughput to dozens of creatives per day typically requires automation around prompt templating, asset variant generation, rapid evaluation metrics, and integration with ad-serving pipelines.

Short-video platforms such as Douyin have raised the operational bar for advertisers, where testing large numbers of creative variants is standard in fast-moving categories like beauty and apparel. Public reporting frames this announcement as an example of agency-level adoption that converts model access into higher-frequency creative testing and ad spend.

• •Adoption signals: sustained month-over-month AI-generated ad spend and repeatable cost-per-asset improvements reported by agencies.
• •Operational metrics: throughput (assets/day), per-asset production cost, and model consumption growth, as these indicate practical scaling of AIGC pipelines.
• •Platform integration: how agencies integrate model outputs into A/B testing and creative optimization loops.

For practitioners evaluating AIGC at scale, observed metrics in the release (usage growth, daily asset counts, and per-asset cost reductions) are useful operational benchmarks but originate from a company-distributed press release; independent measurement or third-party validation is desirable before generalizing these performance claims.