RRepoGEO

REPOGEO REPORT · LITE

yuanzhongqiao/ai-interview-platform

Default branch main · commit b5456c16 · scanned 6/18/2026, 4:46:56 PM

GitHub: 732 stars · 88 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 yuanzhongqiao/ai-interview-platform, 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
  • highabout#1
    Update GitHub Description for clarity

    Why:

    CURRENT
    ai-interview-platform
    COPY-PASTE FIX
    Open-source AI interview platform for automated candidate screening, structured interviews, and detailed analysis for hiring teams and job seekers.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-interview-platform, hr-tech, recruitment, candidate-screening, ai-hiring, open-source, interview-automation, voice-ai, video-interview, job-interview-practice
  • mediumreadme#3
    Clarify README's opening to emphasize application nature

    Why:

    CURRENT
    Open-source AI interview platform for voice, chat, and video — automate screening and scale your hiring workflow
    COPY-PASTE FIX
    Open-source AI interview platform for voice, chat, and video — a complete application solution to automate candidate screening and scale your hiring workflow.

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 yuanzhongqiao/ai-interview-platform
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
HireVue
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. HireVue · recommended 1×
  2. Pymetrics · recommended 1×
  3. Harver · recommended 1×
  4. Talview · recommended 1×
  5. Mya Systems · recommended 1×
  • CATEGORY QUERY
    How can I automate candidate screening with AI for voice and text interviews?
    you: not recommended
    AI recommended (in order):
    1. HireVue
    2. Pymetrics
    3. Harver
    4. Talview
    5. Mya Systems
    6. Textio
    7. Google Cloud AI Platform
    8. Amazon Comprehend
    9. IBM Watson

    AI recommended 9 alternatives but never named yuanzhongqiao/ai-interview-platform. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools provide AI-powered structured interviews and detailed candidate analysis?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral
    3. Falcon
    4. Gemma
    5. LangChain
    6. LlamaIndex
    7. OpenAI Whisper
    8. Mozilla DeepSpeech
    9. NLTK
    10. SpaCy
    11. Scikit-learn
    12. Rasa
    13. Elasticsearch
    14. Kibana
    15. Hugging Face Transformers Library

    AI recommended 15 alternatives but never named yuanzhongqiao/ai-interview-platform. 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 yuanzhongqiao/ai-interview-platform?
    pass
    AI did not name yuanzhongqiao/ai-interview-platform — 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 yuanzhongqiao/ai-interview-platform in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yuanzhongqiao/ai-interview-platform 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 yuanzhongqiao/ai-interview-platform solve, and who is the primary audience?
    pass
    AI did not name yuanzhongqiao/ai-interview-platform — 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 yuanzhongqiao/ai-interview-platform. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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yuanzhongqiao/ai-interview-platform — 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