RRepoGEO

REPOGEO REPORT · LITE

developmentseed/titiler

Default branch main · commit f1faabca · scanned 5/22/2026, 2:11:33 PM

GitHub: 1,097 stars · 235 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
52 /100
Needs work
Category recall
1 / 2
Avg rank #7.0 when recommended
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 developmentseed/titiler, 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
  • highreadme#1
    Reposition README opening to highlight serverless/cloud-native AWS capabilities

    Why:

    CURRENT
    A modern dynamic tile server built on top of FastAPI and Rasterio/GDAL.
    COPY-PASTE FIX
    A modern, cloud-native dynamic tile server built on top of FastAPI and Rasterio/GDAL, optimized for serverless deployments on AWS.
  • mediumabout#2
    Clarify the repository description to emphasize its serverless, cloud-native nature

    Why:

    CURRENT
    Build your own Raster dynamic map tile services
    COPY-PASTE FIX
    A modern, cloud-native solution for building dynamic map tile services from raster data, optimized for serverless deployments on AWS.
  • lowtopics#3
    Add explicit serverless and cloud-native topics

    Why:

    CURRENT
    aws-cdk, aws-lambda, cog, cogeotiff, dynamic, fastapi, gdal, map-tile-server, map-tiles, mosaicjson, raster, rasterio, rest, server, stac, tile
    COPY-PASTE FIX
    aws-cdk, aws-lambda, cog, cogeotiff, dynamic, fastapi, gdal, map-tile-server, map-tiles, mosaicjson, raster, rasterio, rest, server, stac, tile, serverless, cloud-native

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
1 / 2
50% of queries surface developmentseed/titiler
Avg rank
#7.0
Lower is better. #1 = top recommendation.
Share of voice
4%
Of all named tools, what % are you?
Top rival
geoserver/geoserver
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. geoserver/geoserver · recommended 1×
  2. MapServer/MapServer · recommended 1×
  3. postgis/postgis · recommended 1×
  4. tiangolo/fastapi · recommended 1×
  5. django/django · recommended 1×
  • CATEGORY QUERY
    How can I serve dynamic map tiles from raster data using a modern API framework?
    you: #7
    AI recommended (in order):
    1. GeoServer (geoserver/geoserver)
    2. MapServer (MapServer/MapServer)
    3. PostGIS (postgis/postgis)
    4. FastAPI (tiangolo/fastapi)
    5. Django (django/django)
    6. Express (expressjs/express)
    7. TiTiler (developmentseed/titiler) ← you
    8. QGIS Server (qgis/QGIS)
    9. ArcGIS Image Server
    10. ArcGIS Enterprise
    11. Terracotta (DHI-GRAS/terracotta)
    Show full AI answer
  • CATEGORY QUERY
    Need a serverless solution for generating and serving geospatial raster tiles on AWS.
    you: not recommended
    AI recommended (in order):
    1. AWS Lambda
    2. Amazon S3
    3. CloudFront
    4. GDAL
    5. rio-tiler
    6. API Gateway
    7. COG (Cloud Optimized GeoTIFF)
    8. MapServer
    9. GeoServer
    10. Tegola
    11. AWS Fargate
    12. AWS MediaConvert
    13. gdal2tiles.py
    14. AWS Step Functions

    AI recommended 14 alternatives but never named developmentseed/titiler. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 developmentseed/titiler?
    pass
    AI did not name developmentseed/titiler — 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 developmentseed/titiler in production, what risks or prerequisites should they evaluate first?
    pass
    AI named developmentseed/titiler 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 developmentseed/titiler solve, and who is the primary audience?
    pass
    AI named developmentseed/titiler explicitly

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

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MARKDOWN (README)
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developmentseed/titiler — 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