RRepoGEO

REPOGEO REPORT · LITE

Green-Software-Foundation/awesome-green-software

Default branch main · commit b5597179 · scanned 6/6/2026, 10:22:47 AM

GitHub: 685 stars · 107 forks

AI VISIBILITY SCORE
28 /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
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 Green-Software-Foundation/awesome-green-software, 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
  • highabout#1
    Add a repository description

    Why:

    COPY-PASTE FIX
    A curated awesome list and directory of research, tools, code, libraries, and training for building applications that emit less carbon into our atmosphere, managed by the Green Software Foundation.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://greensoftware.foundation/
  • lowreadme#3
    Clarify the license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under [describe the actual license(s) here, e.g., 'a custom license based on Apache 2.0 and MIT principles']. Please refer to the `LICENSE` file for full details.

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 Green-Software-Foundation/awesome-green-software
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Green Software Foundation
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Green Software Foundation · recommended 1×
  2. Cloud Carbon Footprint · recommended 1×
  3. Scaphandre · recommended 1×
  4. Eco-Lighthouse · recommended 1×
  5. Awesome Green Software · recommended 1×
  • CATEGORY QUERY
    Where can I find resources and tools for building more sustainable software applications?
    you: not recommended
    AI recommended (in order):
    1. Green Software Foundation
    2. Cloud Carbon Footprint
    3. Scaphandre
    4. Eco-Lighthouse
    5. Awesome Green Software
    6. Carbon Aware SDK

    AI recommended 6 alternatives but never named Green-Software-Foundation/awesome-green-software. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I reduce the environmental impact and carbon emissions of my software projects?
    you: not recommended
    AI recommended (in order):
    1. Green Software Foundation (GSF) Resources
    2. Software Carbon Intensity (SCI) Specification
    3. Green Software Patterns
    4. Cloud Carbon Footprint (CCF) (cloud-carbon-footprint/cloud-carbon-footprint)
    5. Kepler (sustainable-computing-io/kepler)
    6. Scaphandre (hubblo-org/scaphandre)
    7. Eco-CI (green-coding-berlin/eco-ci)
    8. AWS Customer Carbon Footprint Tool
    9. Google Cloud Carbon Footprint
    10. Azure Emissions Impact Dashboard
    11. Intel Power Gadget
    12. AMD uProf

    AI recommended 12 alternatives but never named Green-Software-Foundation/awesome-green-software. 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 Green-Software-Foundation/awesome-green-software?
    pass
    AI named Green-Software-Foundation/awesome-green-software explicitly

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

  • If a team adopts Green-Software-Foundation/awesome-green-software in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Green-Software-Foundation/awesome-green-software 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 Green-Software-Foundation/awesome-green-software solve, and who is the primary audience?
    pass
    AI did not name Green-Software-Foundation/awesome-green-software — 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 Green-Software-Foundation/awesome-green-software. 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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Green-Software-Foundation/awesome-green-software — 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