RRepoGEO

REPOGEO REPORT · LITE

benthecoder/yt-channels-DS-AI-ML-CS

Default branch master · commit 12c9ce76 · scanned 5/19/2026, 4:02:58 AM

GitHub: 1,587 stars · 156 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
15 /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
0 / 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 benthecoder/yt-channels-DS-AI-ML-CS, 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
    Clarify README H1 to emphasize "list of channels"

    Why:

    CURRENT
    # Awesome YouTube Channels
    COPY-PASTE FIX
    # Awesome List: YouTube Channels for Data Science, AI, ML, & CS
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the MIT License text.
  • mediumtopics#3
    Add more specific topics to highlight the "list" format

    Why:

    CURRENT
    ai, artificial-intelligence, awesome, awesome-list, coding, data, data-analysis, data-engineering, data-science, deep-learning, machine-learning, math, ml, programming, python, resources, software-engineering, statistics, web-development, youtube
    COPY-PASTE FIX
    ai, artificial-intelligence, awesome, awesome-list, coding, data, data-analysis, data-engineering, data-science, deep-learning, machine-learning, math, ml, programming, python, resources, software-engineering, statistics, web-development, youtube, youtube-channels-list, learning-channels, educational-resources-list

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 benthecoder/yt-channels-DS-AI-ML-CS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
StatQuest with Josh Starmer
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. StatQuest with Josh Starmer · recommended 1×
  2. 3Blue1Brown · recommended 1×
  3. DeepLearning.AI · recommended 1×
  4. freeCodeCamp.org · recommended 1×
  5. Krish Naik · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of excellent YouTube channels for learning machine learning?
    you: not recommended
    AI recommended (in order):
    1. StatQuest with Josh Starmer
    2. 3Blue1Brown
    3. DeepLearning.AI
    4. freeCodeCamp.org
    5. Krish Naik
    6. sentdex
    7. Yannic Kilcher

    AI recommended 7 alternatives but never named benthecoder/yt-channels-DS-AI-ML-CS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some good YouTube resources for improving my data engineering and software development skills?
    you: not recommended
    AI recommended (in order):
    1. Apache Spark (apache/spark)
    2. Apache Flink (apache/flink)
    3. SQL
    4. Python (python/cpython)
    5. AWS
    6. Azure
    7. GCP
    8. Flask (pallets/flask)
    9. Django (django/django)
    10. Git (git/git)
    11. BigQuery
    12. Dataflow
    13. Cloud Storage

    AI recommended 13 alternatives but never named benthecoder/yt-channels-DS-AI-ML-CS. 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 benthecoder/yt-channels-DS-AI-ML-CS?
    pass
    AI did not name benthecoder/yt-channels-DS-AI-ML-CS — 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 benthecoder/yt-channels-DS-AI-ML-CS in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name benthecoder/yt-channels-DS-AI-ML-CS — 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?

  • In one sentence, what problem does the repo benthecoder/yt-channels-DS-AI-ML-CS solve, and who is the primary audience?
    pass
    AI did not name benthecoder/yt-channels-DS-AI-ML-CS — 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?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite