RRepoGEO

REPOGEO REPORT · LITE

Devinterview-io/llms-interview-questions

Default branch main · commit 88a15510 · scanned 6/6/2026, 6:12:48 AM

GitHub: 1,002 stars · 116 forks

AI VISIBILITY SCORE
22 /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
1 / 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 Devinterview-io/llms-interview-questions, 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
    Reposition README opening to clarify resource type

    Why:

    CURRENT
    The README starts directly with the title and then questions.
    COPY-PASTE FIX
    Add the following sentence immediately after the main title: "This repository offers a comprehensive, up-to-date collection of interview questions and detailed answers specifically for Large Language Models (LLMs), tailored for machine learning and data science roles."
  • highlicense#2
    Add a LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of the MIT License.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to `https://devinterview.io/questions/machine-learning-and-data-science/`.

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 Devinterview-io/llms-interview-questions
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Designing Data-Intensive Applications
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Designing Data-Intensive Applications · recommended 1×
  2. Deep Learning · recommended 1×
  3. Hugging Face Transformers Library · recommended 1×
  4. Stanford CS224N · recommended 1×
  5. The Illustrated Transformer · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources to prepare for large language model technical interviews?
    you: not recommended
    AI recommended (in order):
    1. Designing Data-Intensive Applications
    2. Deep Learning
    3. Hugging Face Transformers Library
    4. Stanford CS224N
    5. The Illustrated Transformer
    6. Papers with Code
    7. Google's Machine Learning Crash Course

    AI recommended 7 alternatives but never named Devinterview-io/llms-interview-questions. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are essential machine learning and data science interview questions for LLM roles?
    you: not recommended
    AI recommended (in order):
    1. GPT
    2. BERT
    3. Pinecone
    4. Weaviate
    5. Milvus
    6. OpenAI's text-embedding-ada-002
    7. Sentence-BERT
    8. Llama 2
    9. Mistral
    10. Falcon
    11. GPT-4
    12. Claude
    13. Hugging Face Transformers

    AI recommended 13 alternatives but never named Devinterview-io/llms-interview-questions. 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 Devinterview-io/llms-interview-questions?
    pass
    AI did not name Devinterview-io/llms-interview-questions — 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 Devinterview-io/llms-interview-questions in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Devinterview-io/llms-interview-questions 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 Devinterview-io/llms-interview-questions solve, and who is the primary audience?
    pass
    AI did not name Devinterview-io/llms-interview-questions — 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

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Devinterview-io/llms-interview-questions — 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