RRepoGEO

REPOGEO REPORT · LITE

microsoft/USBuildingFootprints

Default branch master · commit 5e80784e · scanned 5/28/2026, 10:31:30 PM

GitHub: 2,233 stars · 272 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface microsoft/USBuildingFootprints, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    geospatial, mapping, building-footprints, open-data, united-states, computer-vision, satellite-imagery, gis
  • mediumreadme#2
    Explicitly link the repo to 'Microsoft Building Footprints' in the README introduction

    Why:

    CURRENT
    Microsoft Maps is releasing country wide open building footprints datasets in United States.
    COPY-PASTE FIX
    This repository contains the Microsoft Building Footprints dataset, a country-wide open dataset of building footprints for the United States.
  • lowcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

This dataset offers [specific differentiator, e.g., AI-derived, consistent nationwide coverage] compared to alternatives like OpenStreetMap (which is community-contributed and varies in completeness) or Google Open Buildings (which has different coverage and update cycles).

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface microsoft/USBuildingFootprints
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenStreetMap (OSM)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenStreetMap (OSM) · recommended 2×
  2. Microsoft Building Footprints · recommended 2×
  3. Google Open Buildings · recommended 2×
  4. JOSM · recommended 1×
  5. Overpass Turbo · recommended 1×
  • CATEGORY QUERY
    Where can I find open-source building footprint data for mapping applications?
    you: not recommended
    AI recommended (in order):
    1. OpenStreetMap (OSM)
    2. JOSM
    3. Overpass Turbo
    4. Microsoft Building Footprints
    5. Google Open Buildings
    6. NYC Open Data
    7. City of Seattle Open Data
    8. USGS (United States Geological Survey) National Map

    AI recommended 8 alternatives but never named microsoft/USBuildingFootprints. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need a comprehensive dataset of US building outlines for geospatial analysis, what are my options?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Building Footprints
    2. OpenStreetMap (OSM)
    3. USGS National Structures Dataset (NSD)
    4. ESRI ArcGIS Living Atlas of the World
    5. Google Open Buildings

    AI recommended 5 alternatives but never named microsoft/USBuildingFootprints. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of microsoft/USBuildingFootprints?
    pass
    AI did not name microsoft/USBuildingFootprints — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts microsoft/USBuildingFootprints in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/USBuildingFootprints explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo microsoft/USBuildingFootprints solve, and who is the primary audience?
    pass
    AI did not name microsoft/USBuildingFootprints — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of microsoft/USBuildingFootprints. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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microsoft/USBuildingFootprints — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite