Skip to main content

GeoFAQ

为任意房源自动生成基于位置的FAQ。

输入地址,获取包含真实答案的完整FAQ。GeoFAQ 调取实时位置数据,生成具体、准确、可即时发布的FAQ。

Why it matters

AI search engines answer questions. Is your venue ready?

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

三步完成完整的房源FAQ。

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。

01

发送房源地址

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。

02

GeoFAQ 获取实时位置数据

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。

03

接收FAQ组合及底层地理数据

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

真实答案,非占位内容。

GeoFAQ 返回具体答案,因为它检查的是您房源周边的真实情况。

POST /v1/geofaqresponse
{
  "faqs": [
    {
      "question": "Are there restaurants nearby?",
      "answer": "Yes, 14 restaurants within 500m: Italian, Thai, a bakery at street level, and a supermarket 80m away.",
      "category": "dining"
    },
    {
      "question": "Is parking available?",
      "answer": "Yes. A public car park (200+ spaces) is 180m away on Prins Hendrikkade. On-street parking is available on surrounding streets with no time restrictions after 19:00.",
      "category": "parking"
    },
    {
      "question": "How do I get there by public transport?",
      "answer": "Amsterdam Centraal Station is 2 minutes walk (180m). Metro lines 51, 53, and 54 stop here. Trams 2, 11, 12, and 17 depart from the station square.",
      "category": "transit"
    },
    {
      "question": "What is the neighborhood like?",
      "answer": "The property is in the city center, a lively area with high foot traffic. The immediate street is pedestrian-priority. Nearest quiet residential streets are 400m south.",
      "category": "neighborhood"
    },
    {
      "question": "Are there shops and services nearby?",
      "answer": "Albert Heijn supermarket is 80m away. A pharmacy, post office, and bank are all within 300m. The nearest hospital (OLVG) is 2.1km.",
      "category": "services"
    },
    {
      "question": "Is the venue accessible?",
      "answer": "Street-level entrance with no steps. Nearest accessible parking is 180m at the Prins Hendrikkade garage. Centraal Station has full wheelchair access.",
      "category": "accessibility"
    }
  ],
  "geo_data": {
    "coordinates": { "lat": 52.3787, "lng": 4.9010 },
    "neighborhood": "Amsterdam City Centre",
    "district": "Amsterdam-Centrum",
    "walkScore": 98,
    "transitScore": 95,
    "nearby": [
      { "name": "Amsterdam Centraal Station", "type": "transit", "distance": 180, "walkMinutes": 2 },
      { "name": "Albert Heijn Supermarket", "type": "grocery", "distance": 80, "walkMinutes": 1 },
      { "name": "Restaurant De Kas", "type": "restaurant", "distance": 220, "walkMinutes": 3 },
      { "name": "Prins Hendrikkade Parking", "type": "parking", "distance": 180, "spaces": 200 },
      { "name": "OLVG Hospital", "type": "medical", "distance": 2100, "walkMinutes": 26 }
    ],
    "dataTimestamp": "2026-04-01"
  }
}

一次响应,所有内容

单一端点返回FAQ组合及其背后的地理数据。

实时位置数据

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。

多行业适用

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。

FAQ组合与原始地理数据

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。

可配置搜索半径

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)。

支持批量处理

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。

EU 托管,符合 GDPR

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。

技术规格

端点

Method
POST /v1/geofaq
Response Format
JSON

参数

address
必填。原始地址字符串。
radius
米。默认500。

响应字段

faqs[]
question, answer, category
geo_data
coordinates, nearby places, transit

准备好开始了吗?

立即使用MapAtlas开始构建。免费注册并立即访问我们所有的地图API,享受慷慨的免费层限制。

GeoFAQ:常见问题

生成第一个FAQ之前您需要了解的一切。

GeoFAQ:常见问题

生成第一个FAQ之前您需要了解的一切。

GeoFAQ 会生成哪些类型的FAQ?
GeoFAQ 生成基于位置的FAQ,涵盖附近餐厅和咖啡馆、停车情况、公共交通可达性、与学校和医院及景点的距离、街区特性(安静与热闹)以及到主要地标的步行距离。类别会根据您指定的房源类型进行调整。
GeoFAQ 与普通FAQ生成器有何不同?
普通FAQ生成器只会生成模板式答案,如'附近有餐厅'。GeoFAQ 会为每个地址获取真实位置数据,返回具体答案:有多少家餐厅、是什么类型、距离多远、哪些交通线路途经附近,以及步行时间。每条答案均有数据支撑,而非假设。
GeoFAQ 可以与 GeoEnrich 搭配使用吗?
可以。GeoEnrich 返回用于模式标记的完整地理数据层;GeoFAQ 使用类似的位置数据生成人类可读的FAQ对。两个API可以配合使用:GeoEnrich 驱动 JSON-LD 模式,GeoFAQ 生成房源页面的FAQ部分。
位置数据有多新?
位置数据每月更新一次。每次响应包含一个 dataTimestamp 字段。餐厅、交通站点和营业时间在每次刷新周期中都会检查。
GeoFAQ 适用于任何国家吗?
是的。GeoFAQ 覆盖180多个国家。覆盖深度因地区而异:欧洲城市拥有最详细的餐厅、交通和本地服务数据。全球覆盖在任何地方都包含核心FAQ类别。
我可以对大型房源数据库批量运行 GeoFAQ 吗?
可以。GeoFAQ 专为批量使用而设计。在构建时一次性运行任务,按房源缓存FAQ对,以零请求成本提供服务。免费套餐每月包含10,000次FAQ生成。