📄 中文摘要
对于构建B2B SaaS产品并关注AI可见性的公司而言，选择一个平台进行优化至关重要。然而，当前的数据表明，许多开发者和技术营销人员可能在选择平台时存在误区。根据Wharton-GBK Collective 2025年的研究，企业对不同AI平台的采用情况及市场份额的详细分析显示，某些平台的引用模式与预期大相径庭。GrackerAI的开发旨在帮助B2B SaaS公司追踪其在各个平台上的AI可见性，确保他们的内容优化策略与市场趋势相符。
AI引擎引用数据：B2B SaaS公司在2026年应优化哪个大型语言模型？
📄 English Summary
AI Engine Citation Data: Which LLM Should B2B SaaS Companies Optimize For in 2026?
For B2B SaaS companies focusing on AI visibility, selecting a platform for optimization is crucial. However, current data indicates that many developers and technical marketers may be misjudging their platform choices. The Wharton-GBK Collective 2025 study provides a detailed analysis of enterprise adoption rates and market shares across different AI platforms, revealing citation patterns that differ significantly from expectations. The development of GrackerAI aims to assist B2B SaaS companies in tracking their AI visibility across platforms, ensuring their content optimization strategies align with market trends.