RRepoGEO

REPOGEO REPORT · LITE

EmbraceAGI/AIGC_Interview

Default branch main · commit 7ef01dec · scanned 6/3/2026, 1:22:57 PM

GitHub: 805 stars · 64 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 EmbraceAGI/AIGC_Interview, 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
    Refine README H1 to explicitly state content type

    Why:

    CURRENT
    # AIGC 求职面试指南
    COPY-PASTE FIX
    # AIGC 求职面试指南:面经、题库与必备知识
  • highlicense#2
    Add a standard LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the content of a standard permissive license like MIT or Apache-2.0. For example, for MIT:
    ```
    MIT License
    
    Copyright (c) [YEAR] [COPYRIGHT HOLDER]
    
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    
    The above copyright notice and this permission notice shall be included in all
    copies or substantial portions of the Software.
    
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE.
    ```
    (Replace [YEAR] and [COPYRIGHT HOLDER] with appropriate values.)
  • mediumtopics#3
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    aigc, chatgpt, gpt4, interviews, prompt, promptengineering, stablediffusion
    COPY-PASTE FIX
    aigc, chatgpt, gpt4, interviews, prompt, promptengineering, stablediffusion, interview-questions, job-search, career-guide, study-guide, large-language-models, llm-interview

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 EmbraceAGI/AIGC_Interview
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv.org
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 2×
  2. DeepLearning.AI · recommended 1×
  3. OpenAI · recommended 1×
  4. Anthropic · recommended 1×
  5. Google · recommended 1×
  • CATEGORY QUERY
    Looking for comprehensive interview preparation materials for AIGC roles, including essential knowledge and prompt engineering.
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI
    2. OpenAI
    3. Anthropic
    4. Google
    5. Hugging Face
    6. The Prompt Engineering Guide
    7. arXiv.org

    AI recommended 7 alternatives but never named EmbraceAGI/AIGC_Interview. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources cover prompt engineering interview questions and foundational knowledge for generative AI positions?
    you: not recommended
    AI recommended (in order):
    1. Prompt Engineering Guide
    2. DeepLearning.AI's Generative AI with Large Language Models
    3. DeepLearning.AI's Prompt Engineering for Developers
    4. OpenAI API Documentation and Cookbook
    5. Google AI for Developers Documentation
    6. Hugging Face Transformers
    7. Hugging Face Blog
    8. arXiv.org

    AI recommended 8 alternatives but never named EmbraceAGI/AIGC_Interview. 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 EmbraceAGI/AIGC_Interview?
    pass
    AI did not name EmbraceAGI/AIGC_Interview — 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 EmbraceAGI/AIGC_Interview in production, what risks or prerequisites should they evaluate first?
    pass
    AI named EmbraceAGI/AIGC_Interview 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 EmbraceAGI/AIGC_Interview solve, and who is the primary audience?
    pass
    AI did not name EmbraceAGI/AIGC_Interview — 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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EmbraceAGI/AIGC_Interview — 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