RRepoGEO

REPOGEO REPORT · LITE

daviddao/awful-ai

Default branch master · commit 07b3a5e3 · scanned 5/23/2026, 3:16:33 AM

GitHub: 7,467 stars · 259 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
35 /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
3 / 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 daviddao/awful-ai, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-ethics, responsible-ai, ai-bias, ai-safety, algorithmic-justice, surveillance, disinformation, data-privacy, curated-list, awful-ai
  • mediumreadme#3
    Emphasize 'comprehensive list' in the README's opening sentence

    Why:

    CURRENT
    Awful AI** is a curated list to track *current* scary usages of AI - hoping to raise awareness to its misuses in society
    COPY-PASTE FIX
    Awful AI is a comprehensive, curated list tracking *current* scary usages of AI, aiming to raise awareness about its misuses and ethical failures in society.

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 daviddao/awful-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AI Ethics Lab
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AI Ethics Lab · recommended 2×
  2. AI Incident Database (AIID) · recommended 1×
  3. Algorithmic Justice League (AJL) · recommended 1×
  4. ProPublica · recommended 1×
  5. Machine Bias · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of real-world AI ethical failures and biases?
    you: not recommended
    AI recommended (in order):
    1. AI Incident Database (AIID)
    2. Algorithmic Justice League (AJL)
    3. AI Ethics Lab
    4. ProPublica
    5. Machine Bias
    6. The Markup
    7. Blacklight
    8. Amnesty International
    9. Surveillance Giants
    10. FAccT
    11. NeurIPS
    12. ICML

    AI recommended 12 alternatives but never named daviddao/awful-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources track current societal risks and concerning applications of artificial intelligence?
    you: not recommended
    AI recommended (in order):
    1. AI Now Institute
    2. Future of Life Institute (FLI)
    3. Partnership on AI (PAI)
    4. Mozilla Foundation (Responsible AI)
    5. Center for AI Safety (CAIS)
    6. AI Ethics Lab
    7. Access Now (AI & Human Rights)

    AI recommended 7 alternatives but never named daviddao/awful-ai. 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 daviddao/awful-ai?
    pass
    AI named daviddao/awful-ai explicitly

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

  • If a team adopts daviddao/awful-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named daviddao/awful-ai 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 daviddao/awful-ai solve, and who is the primary audience?
    pass
    AI named daviddao/awful-ai explicitly

    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 daviddao/awful-ai. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/daviddao/awful-ai.svg)](https://repogeo.com/en/r/daviddao/awful-ai)
HTML
<a href="https://repogeo.com/en/r/daviddao/awful-ai"><img src="https://repogeo.com/badge/daviddao/awful-ai.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

daviddao/awful-ai — 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
daviddao/awful-ai — RepoGEO report