科技铸魂 美学赋能：PureblueAI清蓝创始人鲁扬确认出席2026亿邦新竞争力品牌大会

The 2026 Yibang New Competitiveness Brand Conference focuses on practical insights into the integration of technology and aesthetics.

1. Lu Yang, founder of PureblueAI, will share 'Algorithmic Aesthetics: How AI Word-of-Mouth Marketing Reconstructs Brand Competitiveness' on April 24, explaining how AI technology and aesthetics enhance brand competitiveness and providing specific integration pathways.

2. The company launched the AI marketing digital employee platform mkter.ai and the AI word-of-mouth marketing digital employee 'Mark,' enabling end-to-end marketing optimization with a simple, efficient design that balances practicality and visual appeal.

3. It serves leading enterprises in industries like automotive, finance, and internet technology, showcasing successful cases and methods for boosting influence.

Lu Yang and the company's background offer valuable learning experiences.

1. With 20 years in the tech industry, Lu Yang previously served as General Manager of ByteDance's Volcano Engine marketing; the team hails from top institutions like Tsinghua University and the Chinese Academy of Sciences, developing proprietary hybrid model architectures and optimization algorithms.

2. Backed by prominent investors such as Vertex Ventures China and Innofund, the company emphasizes compliance orientation and standard-setting.

AI word-of-mouth marketing combined with aesthetics empowers brand growth.

1. PureblueAI reconstructs brand competitiveness through algorithmic aesthetics, offering strategies to boost AI-driven exposure and influence applicable to brand marketing and channel development.

2. Customized content optimization solutions align with different industry brand tones, achieving 'technology empowerment + aesthetic value-add' to aid product development and response to consumer trends.

3. The digital employee Mark features a simple, efficient design that balances interactive practicality and visual appeal, offering insights into user behavior observation and brand pricing optimization.

Brand cases demonstrate practical application value.

1. Serving leading enterprises in automotive, finance, and retail proves the effectiveness of AI-aesthetic integration in breaking through brand barriers.

2. Investors like BlueFocus enhance brand collaboration opportunities and trustworthiness.

AI marketing presents growth opportunities and risk mitigation insights.

1. Participation in drafting the China Academy of Information and Communications Technology's 'Basic Requirements for Trustworthy Generative Engine Optimization (GEO) Services' provides policy compliance interpretation and positive event response measures.

2. The AI word-of-mouth marketing digital employee streamlines end-to-end processes, revealing shifts in consumer demand and new business model opportunities, such as in internet technology and healthcare industries.

3. The launch of the mkter.ai platform showcases how the latest technologies address growth markets, with attention needed on risk alerts from industry standard development.

Learnings and collaboration insights.

1. PureblueAI's case studies with leading enterprises offer positive learning experiences, covering collaboration methods and support policies.

2. Lu Yang's background, including ByteDance experience, provides strategies for event response and opportunity capture.

Digitalization and aesthetics inspire product design and production opportunities.

1. The AI digital employee Mark incorporates simple, efficient aesthetic design, addressing product visual optimization needs and inspiring the integration of practicality and beauty in production processes.

2. GEO technologies like hybrid model architectures and optimization algorithms can be applied to product R&D, advancing e-commerce digitalization and business opportunity expansion.

3. Serving leading enterprises in automotive and consumer industries demonstrates collaboration potential, with attention required on risk avoidance through compliance standards.

Technology empowerment insights for production.

1. The self-developed digital employee platform mkter.ai illustrates how AI can optimize design requirements and improve efficiency.

2. Investor support from entities like Innofund offers business opportunities and growth inspiration.

AI marketing industry trends and solutions address client pain points.

1. Generative Engine Optimization (GEO) as an emerging trend provides insights into industry development, such as building core barriers through full-stack self-developed technology.

2. The digital employee platform mkter.ai and Mark solve end-to-end marketing pain points, offering customized content optimization solutions for diverse industry needs.

3. Involvement in setting trustworthy service standards emphasizes compliance orientation, inspiring risk mitigation solutions.

Client cases and new technology applications.

1. Case studies with leading enterprises in automotive and finance demonstrate practical solution effectiveness.

2. Hybrid model architectures and optimization algorithms as innovative technologies provide cutting-edge application insights.

Platform needs and operational management optimization.

1. The mkter.ai platform serves enterprise AI word-of-mouth marketing needs, offering insights for platform merchant recruitment and operational management, such as streamlining end-to-end processes to expand technological boundaries.

2. Adherence to compliance and standard development, including participation in GEO service trust requirements, mitigates directional risks and ensures platform credibility.

3. The launch of digital employee Mark showcases the platform's latest practices, covering collaboration methods and support policies.

Platform cases and management strategies.

1. Serving leading enterprises across multiple industries, like automotive and retail, provides insights into platform demand.

2. Support from investors like Vertex Ventures China strengthens platform trust and merchant recruitment opportunities.

Industry trends and policy regulations insights.

1. AI word-of-mouth marketing reconstructs business models, revealing new industry movements like technology-aesthetic integration pathways and offering new research questions.

2. Participation in drafting the China Academy of Information and Communications Technology's GEO service standards advances policy regulation development, inspiring normative suggestions and trust orientation.

3. Generative Engine Optimization (GEO) as a new competitive model showcases business model innovation, involving case studies of representative enterprises.

Research cases and trends.

1. Case studies with leading enterprises in internet technology provide practical data.

2. Lu Yang's team background and investors support industry trend analysis.