New software workflow
Address-to-comps scanner
Type any Metro Manila address, pin, or Google Maps URL. The tool geocodes the subject, ranks the current comp database by distance, and produces a nearby land-price screen with source links.
Subject location
6106 Col. Santos Street, South Cembo
14.55886, 121.05072
Nearby comps
10
Within 1 km of subject
Avg ask/sqm
PHP 167k
Simple average of nearby ask/sqm
Cheapest database comp
PHP 71k
Taguig / South Cembo 198 sqm bungalow · 0.22 km
LLM tokens/scan
0
No model call in this version
Radius and result controls
Use a tight radius for immediate comps, or show all database comps ranked by distance.
Comp map
Subject address vs nearby comps
Nearby comp list
Comps within 1 km
Click any comp to focus it on the map. Each row preserves the listing source and detail page.
1. Suggest + geocode
The address field suggests Metro Manila matches, then resolves the selected address into latitude and longitude. It also accepts raw lat,lng pairs and Google Maps URLs.
2. Rank comps
The current land comp database is distance-ranked, filtered by radius, and normalized into ask/sqm, premium/discount, ticket size, and source URL.
3. Scale data
To cover all Metro Manila, the next layer is listing ingestion plus city zoning libraries, so the same page can fetch fresh comps instead of relying only on saved records. LLM usage remains optional.


































