In the automotive marketing sphere, a longstanding principle has prevailed: marketing budgets chase after audience engagement. Particularly since the surge of short-form videos in 2018, the communication landscape in automotive PR has gradually shifted. Nearly all brands have concentrated their marketing endeavors on short videos, with static reviews and test drive experiences dominating the scene, commanding the majority of automotive communication budgets. However, as we step into 2026, this long-held communication bias is being reshaped by AI.

For an extended period, the automotive industry's communication budgets have adhered to a notable '8:2 ratio': 80% of funds are directed towards shallow communication content, such as short videos, while a mere 20% is allocated to in-depth graphic content. This allocation is understandable, considering the billions of daily views and rapid exposure growth of video content, which has prompted automakers to heavily invest in video platforms, nearly sidelining in-depth graphic content from the mainstream communication arena. Nevertheless, with the widespread integration of AI technology, this entrenched communication norm is quietly being upended.

Many have observed significant shifts: homogeneous short videos are increasingly yielding hollow engagement, with uniform exterior introductions, infotainment demos, and scenario-based promotions leading to user fatigue and steadily declining completion and conversion rates. The root cause lies in the fact that numerous video bloggers lack graphic content creation skills, and their video scripts are frequently penned directly by AI. More critically, with the proliferation of AI retrieval tools, the credibility of short videos is significantly eroding.

Initially, automotive consumers relied on search engines and automotive websites to inform their car-buying decisions, comparing model parameters comprehensively, which spurred the rise of SEO optimization. With the advent of short videos, visually captivating and experiential content provided more intuitive references. However, in today's landscape, where search engine information is cluttered and videos are increasingly fragmented and fan-driven, their referential value has diminished. Consumers now prefer to initiate their car selection process by retrieving precise, detailed, and authoritative comprehensive content through AI tools.

The foundation for AI to deliver accurate responses hinges on structured, original, traceable, and highly complete online information sources. Short video content, being fragmented, unsystematic, and scattered, poses challenges for AI to accurately capture, dissect, and integrate, resulting in low effective information value. Even if the content goes viral, it struggles to become effective material for AI retrieval and fails to provide long-term brand empowerment. In contrast, the long-overlooked in-depth graphic content aligns perfectly with the core logic of AI communication.

With the widespread adoption of large language models like ChatGPT, Doubao, and ERNIE Bot, Generative Engine Optimization (GEO) has emerged, imposing stringent evaluation standards on content professionalism, authority, and credibility. Professional long-form graphic content can comprehensively convey core information, such as automotive technology principles, empirical data comparisons, in-depth test drive experiences, and brand R&D systems. With a clear content structure, detailed and accurate data, and objective viewpoints, it serves as both a vital channel for users to deeply understand car models and a premium information source for AI to collect, retrieve, and reuse.

Considering multiple dimensions, such as AI large model citation rates, brand mention rates, and answer adoption rates, the value return of in-depth graphic content is an inevitable trend. Changes in resource allocation are already reflecting this shift. According to publicly available industry research data, automotive marketing content budgets are undergoing structural adjustments. The traditional '8:2' allocation has gradually shifted to a '6:4' ratio in 2026 and may even reach a new '4:6' pattern by 2027.

Zhidian Auto News posits that cars are high-value purchases with lengthy decision-making cycles. Users' final purchase decisions hinge not on a fleeting visual impact but on a comprehensive recognition of product strength, brand reputation, and technological prowess. Short videos and in-depth graphic content represent two distinct types of communication value: short videos excel at shallow exposure, solving the problem of brand visibility; in-depth graphic content excels at deep engagement, solving the problem of brand credibility. In essence, short videos are responsible for 'making users see,' while in-depth graphic content is tasked with 'making users believe.'

Epilogue

Trends are ever-evolving, but the core tenets of PR communication remain steadfast: traffic determines popularity, while content determines confidence. In recent years, automakers have flocked to short videos, following the traffic tide. Now, the value resurgence of in-depth graphic content aligns with the underlying logic of AI communication. In the future, automotive communication competition will no longer revolve around video output and exposure metrics but will focus on content professionalism, authenticity, and scarcity. Trends may come and go, but value endures. In the new era of AI-dominated information distribution, breaking free from the traffic rat race and concentrating on high-quality, in-depth content is the optimal strategy for automakers to stabilize user mindshare and construct formidable brand barriers.