Why it matters
ChatGPT, Perplexity, and Google AI Overviews do not rank pages. They answer specific questions from real users: "Is there parking near this hotel?", "Are there restaurants walking distance from this venue?", "How do I get there by public transport?" If your property does not have structured, specific answers to these questions, it gets skipped entirely.
"Restaurants near [hotel name]"
Requires named nearby places with distances
"Is there parking at [venue]?"
Requires verified parking data within radius
"How to get to [address] by metro?"
Requires transit lines, stop names, walk times
"Is [neighborhood] quiet or lively?"
Requires neighborhood context and POI density
"Family-friendly things near [hotel]"
Requires categorized nearby attractions
"Accessibility at [venue]"
Requires specific accessibility data and nearby services
GeoFAQ generates the exact answers AI systems are looking for, tailored to your specific address. Not generic templates. Real data, real distances, real place names.
工作原理
无需人工调研,无需套话回答。GeoFAQ 获取实时位置数据,返回带有真实距离、真实地名和真实背景的FAQ组合。
将任意地址字符串、邮政编码或坐标对发送至 POST /v1/geofaq,可选择指定搜索半径和需要生成的FAQ类别。
API 解析地址,扫描附近餐厅、交通站点、停车场、学校和景点,并根据所找到的内容生成具体的FAQ组合。
每次响应均包含可即时发布的FAQ问答对,以及生成这些内容的原始地理数据。FAQ用于您的网站,地理数据用于模式标记。
输出示例
GeoFAQ 返回具体答案,因为它检查的是您房源周边的真实情况。
单一端点返回FAQ组合及其背后的地理数据。
每条FAQ答案均基于请求时获取的真实数据。距离、地名和交通信息准确无误,并非估算。
酒店、房地产、餐厅、度假租赁、本地服务。GeoFAQ 根据房源类型自动调整FAQ类别。
每次响应均包含可即时发布的FAQ对和底层地理数据。FAQ用于您的网站,地理数据用于模式标记。
按请求设置搜索半径。适用于高密度城市区域(200米)或郊区房源(1公里以上)。
在构建时对整个房源数据库运行 GeoFAQ,缓存结果,每次请求零成本提供服务。
完全托管于欧盟,附带 GDPR 合规文档。地址数据不在请求生命周期之外保留。
生成第一个FAQ之前您需要了解的一切。