In 2024, the large model industry has significantly accelerated its deployment, with AI applications first exploding in the B2B sector. Behind the large-scale emergence of "enterprise-level" AI applications lies a groundbreaking transformation in product service models and a substantial enhancement of capabilities. Among these innovations, AI Agents are one of the key explorations in humanity's ongoing pursuit of Artificial General Intelligence (AGI).

With the widespread application of AI Agents, global smart marketing service providers, such as eclicktech, are also seizing new opportunities. On November 13th, Sun Wanli, International Business Solutions Architect at ZhIPU, and the latest additions to their AI Agent family—Cogagent, AutoGLM, and others—were featured in a live broadcast on eclicktech's "Expert Face-to-Face" session. Together with Zhang Aodi, Deputy General Manager of the Technology Center, they engaged in an in-depth discussion on industry topics, including how AI Agents will drive profound changes in the field of intelligent marketing.

During the live session, when discussing the fundamental differences between AutoGLM / Cogagent and traditional RPA (Robotic Process Automation), Mr. Sun explained that traditional RPA systems rely on fixed rules and processes, requiring frequent adjustments when there are updates to pages or changes in buttons. In contrast, large models like AutoGLM and Cogagent have stronger self-adjustment capabilities, allowing them to adapt to constantly changing operational environments, which significantly improves the stability and adaptability of automation.

Furthermore, Sun Wanli noted that while large models already possess powerful general-purpose capabilities, in industries like intelligent marketing, which require private data or specific scenarios, fine-tuning and model integration will still be necessary.

In response, Zhang Aodi highlighted that the deep integration of AutoGLM and Cogagent into the full-chain, multi-scenario intelligent marketing process is expected to push the entire industry toward greater automation:

Pre, Mid, and Post-Campaign Market Research, Budget Allocation, and Performance Forecasting: Through comprehensive analysis of historical data, model predictions, and advertisers' KPIs, intelligent systems can optimize ad placements and enhance marketing efficiency.

Traffic Fluctuations and Data Analysis: Traditional marketing operations often rely on human experience, while AI Agents can understand the system, automate traffic data analysis, quickly identify issues, and propose optimization strategies to improve ad conversion rates.

Self-Iteration of Marketing Strategies: With AI Agents, the system not only performs complex tasks but can also adjust strategies based on data feedback, enabling self-iteration and the generation of new strategies, thus propelling intelligent marketing into a new phase.

In summary, with the advancement of large model capabilities, intelligent marketing will gradually achieve full automation in areas such as ad placements and data analysis. This will reduce human intervention and push the industry into a more efficient, precise marketing era.

The arrival of the AI Agent era is not only a technological leap but also a profound transformation for both enterprises and society. Looking ahead, eclicktech will continue to collaborate with AI industry partners such as ZhIPU, actively embracing cutting-edge technologies, deepening technological innovation, and exploring new opportunities in intelligent marketing.