RRepoGEO

REPOGEO REPORT · LITE

pbiecek/xai_resources

Default branch master · commit cc4502da · scanned 6/2/2026, 10:47:31 PM

GitHub: 855 stars · 138 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 pbiecek/xai_resources, 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
    Add an explicit introductory sentence to the README

    Why:

    CURRENT
    The README starts directly with the H1 and then a list of internal links.
    COPY-PASTE FIX
    This repository serves as a comprehensive, curated collection of essential resources for Explainable Artificial Intelligence (XAI), including papers, books, software tools, and articles.
  • highlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Add a relevant URL (e.g., a project page, a related blog post, or the author's academic page) to the 'Homepage' field in the repository settings.

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 pbiecek/xai_resources
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Interpretable Machine Learning: A Guide for Making Black Box Models Explainable · recommended 1×
  2. shap/shap · recommended 1×
  3. marcotcr/lime · recommended 1×
  4. Google's Explainable AI · recommended 1×
  5. IBM/AIX360 · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources to understand explainable AI concepts?
    you: not recommended
    AI recommended (in order):
    1. Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
    2. SHAP (shap/shap)
    3. LIME (marcotcr/lime)
    4. Google's Explainable AI
    5. IBM's AI Explainability 360 (AIX360) (IBM/AIX360)
    6. The Mythos of Model Interpretability
    7. Kaggle Learn Courses

    AI recommended 7 alternatives but never named pbiecek/xai_resources. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best software tools available for developing interpretable AI models?
    you: not recommended
    AI recommended (in order):
    1. SHAP
    2. LIME
    3. InterpretML
    4. ELI5
    5. Captum
    6. Alibi Explain
    7. What-If Tool

    AI recommended 7 alternatives but never named pbiecek/xai_resources. 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 pbiecek/xai_resources?
    pass
    AI named pbiecek/xai_resources explicitly

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

  • If a team adopts pbiecek/xai_resources in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pbiecek/xai_resources 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 pbiecek/xai_resources solve, and who is the primary audience?
    pass
    AI did not name pbiecek/xai_resources — 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 pbiecek/xai_resources. 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/pbiecek/xai_resources.svg)](https://repogeo.com/en/r/pbiecek/xai_resources)
HTML
<a href="https://repogeo.com/en/r/pbiecek/xai_resources"><img src="https://repogeo.com/badge/pbiecek/xai_resources.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

pbiecek/xai_resources — 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