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FAQ Schema Generator

Auto-generate location-aware JSON-LD FAQs for any property.

Send an address. Get back a full FAQ with real answers. GeoFAQ pulls live location data to generate FAQs that are specific, accurate, and ready to publish.

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.

How It Works

Three steps to a complete property FAQ.

No manual research. No generic answers. GeoFAQ fetches live location data and returns FAQ pairs with real distances, real place names, and real context.

01

Send the property address

Pass any address string, postal code, or coordinate pair to POST /v1/geofaq. Optionally specify a radius and which FAQ categories to generate.

02

GeoFAQ fetches live location data

The API resolves the address, scans nearby restaurants, transit stops, parking, schools, and attractions, and generates specific FAQ pairs based on what it finds.

03

Receive FAQ pairs and underlying geo data

Every response includes ready-to-publish FAQ question/answer pairs plus the raw geo data that generated them. Use the FAQs on your website and the geo data in your schema markup.

Example Output

Real answers, not placeholders.

GeoFAQ returns specific answers because it checks what is actually near your property.

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"
  }
}

Everything in One Response

One endpoint returns FAQ pairs and the geo data behind them.

Live Location Data

Every FAQ answer is backed by real data fetched at request time. Distances, place names, and transit details are accurate, not estimated.

Multi-Vertical

Hotels, real estate, restaurants, vacation rentals, local services. GeoFAQ adapts the FAQ categories to the property type.

FAQ Pairs and Raw Geo Data

Every response includes ready-to-publish FAQ pairs and the underlying geo data. Use the FAQs on your site, the geo data in your schema markup.

Configurable Radius

Set the search radius per request. Useful for dense urban areas (200m) versus suburban properties (1km+).

Built for Bulk

Run GeoFAQ across your entire property database at build time. Cache the results and serve at zero per-request cost.

EU-Hosted, GDPR-Compliant

Fully EU-hosted with GDPR compliance documentation. No address data retained beyond the request lifecycle.

Technical Specifications

Endpoint

Method
POST /v1/geofaq
Response Format
JSON

Parameters

address
Required. Raw address string.
radius
Meters. Default 500.

Response Fields

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

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GeoFAQ: common questions

Everything you need to know before generating your first FAQ.

What types of FAQs does GeoFAQ generate?
GeoFAQ generates location-based FAQs covering nearby restaurants and cafes, parking availability, public transport access, proximity to schools, hospitals, and attractions, neighborhood character (quiet vs. lively), and walking distances to key landmarks. The categories are adapted to the property type you specify.
How is GeoFAQ different from a generic FAQ generator?
Generic FAQ generators produce template answers like 'there are restaurants nearby.' GeoFAQ fetches real location data for each address and returns specific answers: how many restaurants, what types, how far, which transit lines stop nearby, and what the walk time is. Every answer is grounded in data, not assumptions.
Can I use GeoFAQ alongside GeoEnrich?
Yes. GeoEnrich returns the full geo data layer for schema markup. GeoFAQ uses similar location data to generate human-readable FAQ pairs. Both APIs can be used together: GeoEnrich to power their JSON-LD schema and GeoFAQ to generate the FAQ section of their listing pages.
How current is the location data?
Location data is refreshed monthly. Each response includes a dataTimestamp field. Restaurants, transit stops, and opening hours are checked on every refresh cycle.
Does GeoFAQ work for any country?
Yes. GeoFAQ covers 180+ countries. Coverage depth varies by region: European cities have the most detailed data for restaurants, transit, and local services. Global coverage includes core FAQ categories everywhere.
Can I run GeoFAQ across a large property database?
Yes. GeoFAQ is designed for bulk use. Run the job once at build time, cache the FAQ pairs per property, and serve at zero per-request cost. The free tier includes 10,000 FAQ generations per month.

GeoFAQ: common questions

Everything you need to know before generating your first FAQ.

What types of FAQs does GeoFAQ generate?
GeoFAQ generates location-based FAQs covering nearby restaurants and cafes, parking availability, public transport access, proximity to schools, hospitals, and attractions, neighborhood character (quiet vs. lively), and walking distances to key landmarks. The categories are adapted to the property type you specify.
How is GeoFAQ different from a generic FAQ generator?
Generic FAQ generators produce template answers like 'there are restaurants nearby.' GeoFAQ fetches real location data for each address and returns specific answers: how many restaurants, what types, how far, which transit lines stop nearby, and what the walk time is. Every answer is grounded in data, not assumptions.
Can I use GeoFAQ alongside GeoEnrich?
Yes. GeoEnrich returns the full geo data layer for schema markup. GeoFAQ uses similar location data to generate human-readable FAQ pairs. Both APIs can be used together: GeoEnrich to power their JSON-LD schema and GeoFAQ to generate the FAQ section of their listing pages.
How current is the location data?
Location data is refreshed monthly. Each response includes a dataTimestamp field. Restaurants, transit stops, and opening hours are checked on every refresh cycle.
Does GeoFAQ work for any country?
Yes. GeoFAQ covers 180+ countries. Coverage depth varies by region: European cities have the most detailed data for restaurants, transit, and local services. Global coverage includes core FAQ categories everywhere.
Can I run GeoFAQ across a large property database?
Yes. GeoFAQ is designed for bulk use. Run the job once at build time, cache the FAQ pairs per property, and serve at zero per-request cost. The free tier includes 10,000 FAQ generations per month.