RRepoGEO

REPOGEO REPORT · LITE

zixian2021/AI-interview-cards

Default branch main · commit 10557f3e · scanned 6/26/2026, 2:03:58 PM

GitHub: 1,346 stars · 120 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)

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

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 zixian2021/AI-interview-cards, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README's opening to clearly state purpose

    Why:

    CURRENT
    # 2023.8.13更新：
# 增加所有中高级问题的QA，新增LLM专题面试QA！
结合面试与被面试的经验，手工整理，1000余道，20多个类目的深度学习&机器学习算法岗面试题目QA
    COPY-PASTE FIX
    This repository provides the most comprehensive collection of AI, Deep Learning, and Machine Learning algorithm interview questions and answers (QA), meticulously compiled from interview experiences. Featuring over 1000 questions across more than 20 categories, it's designed to help candidates prepare for algorithm engineering roles. 

# 2023.8.13更新：
增加所有中高级问题的QA，新增LLM专题面试QA！
  • highlicense#2
    Create a LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. For a content repository like this, consider a permissive license such as MIT or Apache-2.0 to clarify usage rights for others.

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 zixian2021/AI-interview-cards
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cracking the Coding Interview
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cracking the Coding Interview · recommended 1×
  2. Machine Learning Interviews · recommended 1×
  3. LeetCode · recommended 1×
  4. HackerRank · recommended 1×
  5. Glassdoor · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive interview questions for AI algorithm engineering roles?
    you: not recommended
    AI recommended (in order):
    1. Cracking the Coding Interview
    2. Machine Learning Interviews
    3. LeetCode
    4. HackerRank
    5. Glassdoor
    6. Levels.fyi
    7. Deep Learning Interviews: Hundreds of fully solved job interview questions from FAANG, top startups, and financial companies
    8. Towards Data Science

    AI recommended 8 alternatives but never named zixian2021/AI-interview-cards. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need advanced deep learning and machine learning interview questions with solutions.
    you: not recommended
    AI recommended (in order):
    1. ResNet-50
    2. XGBoost
    3. LightGBM
    4. CatBoost
    5. scikit-learn's `GradientBoostingClassifier`
    6. scikit-learn's `GradientBoostingRegressor`

    AI recommended 6 alternatives but never named zixian2021/AI-interview-cards. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 zixian2021/AI-interview-cards?
    pass
    AI named zixian2021/AI-interview-cards explicitly

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

  • If a team adopts zixian2021/AI-interview-cards in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zixian2021/AI-interview-cards 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 zixian2021/AI-interview-cards solve, and who is the primary audience?
    pass
    AI did not name zixian2021/AI-interview-cards — 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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zixian2021/AI-interview-cards — 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