RRepoGEO

REPOGEO REPORT · LITE

adrianhajdin/ai_mock_interviews

Default branch main · commit 96d01db1 · scanned 6/1/2026, 11:23:26 PM

GitHub: 545 stars · 297 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 adrianhajdin/ai_mock_interviews, 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 the README's main heading to clarify it's a tutorial project

    Why:

    CURRENT
    <h3 align="center">Prepwise: A job interview preparation platform powered by Vapi AI Voice agents</h3>
    COPY-PASTE FIX
    <h3 align="center">Prepwise: A Tutorial Project for Building an AI Mock Interview Platform with Vapi AI</h3>

This repository provides the complete code and a step-by-step tutorial for building 'Prepwise', a real-time AI-driven mock interview platform, designed for educational and demonstration purposes.
  • 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, for example, using the MIT License template.
  • mediumtopics#3
    Expand repository topics to include project type and domain

    Why:

    CURRENT
    next15, nextjs, vapi
    COPY-PASTE FIX
    next15, nextjs, vapi, ai-mock-interviews, voice-ai, tutorial, example-project, firebase, tailwindcss

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 adrianhajdin/ai_mock_interviews
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AssemblyAI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AssemblyAI · recommended 2×
  2. ElevenLabs · recommended 2×
  3. Deepgram · recommended 2×
  4. OpenAI API · recommended 1×
  5. Google Cloud AI Platform · recommended 1×
  • CATEGORY QUERY
    Looking for tools to create an AI-powered conversational interview practice application.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud AI Platform
    3. Dialogflow ES
    4. Dialogflow CX
    5. Vertex AI
    6. Hugging Face Transformers
    7. AssemblyAI
    8. ElevenLabs
    9. LangChain
    10. Deepgram

    AI recommended 10 alternatives but never named adrianhajdin/ai_mock_interviews. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build a personalized real-time AI voice agent for mock interviews?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text
    2. AWS Transcribe
    3. Azure Cognitive Services Speech
    4. Deepgram
    5. AssemblyAI
    6. OpenAI GPT-4
    7. GPT-3.5 Turbo
    8. Anthropic Claude
    9. Claude 3 Opus
    10. Claude 3 Sonnet
    11. Google Gemini
    12. Gemini 1.5 Pro
    13. Meta Llama 3
    14. ElevenLabs
    15. Google Cloud Text-to-Speech
    16. AWS Polly
    17. Resemble AI
    18. WebSockets
    19. Node.js
    20. Express (expressjs/express)
    21. Python
    22. FastAPI (tiangolo/fastapi)
    23. Go
    24. Gin (gin-gonic/gin)
    25. Twilio Programmable Voice
    26. WebRTC
    27. Flask (pallets/flask)
    28. NestJS (nestjs/nest)
    29. LangChain (langchain-ai/langchain)
    30. LlamaIndex (run-llama/llama_index)
    31. React (facebook/react)
    32. Vue.js (vuejs/core)
    33. Next.js (vercel/next.js)
    34. Nuxt.js (nuxt/nuxt)

    AI recommended 34 alternatives but never named adrianhajdin/ai_mock_interviews. 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 adrianhajdin/ai_mock_interviews?
    pass
    AI did not name adrianhajdin/ai_mock_interviews — 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 adrianhajdin/ai_mock_interviews in production, what risks or prerequisites should they evaluate first?
    pass
    AI named adrianhajdin/ai_mock_interviews 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 adrianhajdin/ai_mock_interviews solve, and who is the primary audience?
    pass
    AI did not name adrianhajdin/ai_mock_interviews — 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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adrianhajdin/ai_mock_interviews — 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