Study Highlight: GEO Development and Brand Communications Trends

We. Red Bridge, in partnership with Endata, has released its latest Chinese-language report, GEO Development and Brand Communications Trends Report (GEO发展及品牌传播趋势报告), which explores how Generative Engine Optimisation (GEO) is reshaping visibility, credibility, and influence.

The report examines how GEO is becoming a core communications priority as AI search changes the way people find, assess, and trust brands. The report argues that brand communications is shifting from a competition for visibility to a competition for understandability, where brands must be accurately interpreted, cited and recommended by AI tools.

The report positions GEO as a rebuild of SEO logic, not just an add-on. Traditional SEO focuses on rankings, traffic and clicks, while GEO focuses on becoming a trusted source for AI-generated answers.

To do this, brands need content that is authoritative, structured, consistent across the web and regularly updated. This makes PR, brand content, media relations and owned-channel governance more important because AI systems rely on credible, verifiable information to form answers.

The report also warns that GEO introduces new reputational and compliance risks, including AI hallucinations, outdated information, incorrect source attribution, content homogeneity, and black-hat optimisation.

It recommends building a long-term GEO system that combines monitoring, correction, structured content, trusted third-party sources and ongoing optimisation. The central message is that brands need to be correctly understood by AI before they can be consistently seen by users.

To help brands implement GEO, the report suggests a five-stage approach as follows:

1. Content audit and brand diagnosis: Review how the brand currently appears in AI search, identify visibility gaps, check source accuracy and compare performance against competitors.
2. Strategy and prioritisation: Define the priority platforms, keywords, user questions, products, issues and audience scenarios that matter most to the brand.
3. Pilot execution and system optimisation: Start with a focused product, topic or campaign area. Rework content using clear structure, verified data, trusted sources and consistent messaging.
4. Impact assessment and measurement standards: Track whether the brand is appearing more often, being described accurately, cited by AI tools and positioned favourably against competitors.
5. Continuous iteration and barrier building: Keep updating content as AI models, source preferences and user behaviour change, while building a harder-to-copy trust advantage over time.