Rise of Generative Engine Optimization

Boosting Brand Visibility in AI Responses

As AI chatbots gain popularity in 2025, generative engine optimization (GEO) has emerged as a vital strategy for brands seeking prominence in AI-generated answers, according to a report from August 9, 2025. Unlike traditional search engine optimization, which focuses on ranking higher in search results, GEO ensures a brand’s content is cited or recommended by AI models. By refining website content and leveraging external platforms like news outlets or online portals, businesses enhance their visibility in the concise responses provided by chatbots, reshaping digital marketing dynamics.

GEO’s Practical Applications

Tailored Content Drives Results

Companies like Big Fish Marketing in Shenzhen are pioneering GEO by optimizing content to align with AI algorithms. For instance, their work with Nuoyun, an online education platform, led to a DeepSeek AI recommendation after enhancing website content and publishing 40 strategic articles. GEO involves continuous updates to maintain visibility, as competitors’ actions can quickly overshadow a brand’s presence. This approach requires ongoing effort to adapt content, especially for consumer products like cosmetics, where frequent updates are needed to stand out in a crowded market.

Competitive and Costly Landscape

Pricing Models Reflect Complexity

The GEO industry is highly competitive, with firms like Big Fish offering packages ranging from 3,800 to 29,800 yuan, depending on the number of AI prompts targeted. The highest-tier package guarantees results for at least 12 of 20 prompts monthly, with refunds for unmet goals. However, sustained visibility depends on outpacing competitors, particularly in fast-moving sectors. Specialized products, such as medical equipment, may retain AI citations longer, but the need for constant content refinement underscores the resource-intensive nature of GEO strategies.

Challenges and Future Potential

Navigating AI Platform Resistance

Some AI platforms resist overt marketing, filtering out content with promotional phrases like “cheapest” or direct contact details, as noted by marketing specialist Lu Songsong. While companies like Perplexity AI have begun experimenting with sponsored ads, major Chinese AI firms prioritize user experience over monetization, complicating GEO efforts. Despite its nascent stage, GEO’s potential is significant. Experts predict that if AI search captures over 30% market share, GEO will become essential, transforming how brands compete for attention in an AI-driven digital landscape.

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