RRepoGEO

REPOGEO REPORT · LITE

arsh342/careercompass

Default branch main · commit fade6f4a · scanned 6/1/2026, 7:52:44 AM

GitHub: 554 stars · 121 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 arsh342/careercompass, 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's overview to clarify project scope as an open-source example

    Why:

    CURRENT
    CareerCompass is a dual-sided AI platform that transforms how employers and job seekers connect. Powered by **Google Gemini AI** and the **Genkit framework**, it provides intelligent matching, comprehensive analytics, and automated workflows for the entire hiring journey.
    COPY-PASTE FIX
    CareerCompass is an open-source, dual-sided AI platform that transforms how employers and job seekers connect. Built as a comprehensive example and learning resource, it's powered by **Google Gemini AI** and the **Genkit framework**, providing intelligent matching, comprehensive analytics, and automated workflows for the entire hiring journey.
  • mediumtopics#2
    Add topics to highlight its value as an example or template

    Why:

    CURRENT
    cloudinary, firebase, gemini-api, nextjs, stripe, typescript, vercel
    COPY-PASTE FIX
    cloudinary, firebase, gemini-api, nextjs, stripe, typescript, vercel, ai-platform-example, genkit-demo, hiring-solution-template
  • lowreadme#3
    Improve clarity of 'Key Highlights' section in README

    Why:

    CURRENT
    17 AI FlowsComprehensive AI-powered features covering the entire career journey
    COPY-PASTE FIX
    17 AI Flows: Comprehensive AI-powered features covering the entire career journey

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 arsh342/careercompass
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Eightfold AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Eightfold AI · recommended 1×
  2. Beamery · recommended 1×
  3. Phenom People · recommended 1×
  4. HireVue · recommended 1×
  5. Censia · recommended 1×
  • CATEGORY QUERY
    What are the best AI-powered platforms for intelligent job matching and comprehensive hiring analytics?
    you: not recommended
    AI recommended (in order):
    1. Eightfold AI
    2. Beamery
    3. Phenom People
    4. HireVue
    5. Censia
    6. Pymetrics
    7. SeekOut

    AI recommended 7 alternatives but never named arsh342/careercompass. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build a dual-sided career platform with AI, payments, and real-time data for employers?
    you: not recommended
    AI recommended (in order):
    1. React
    2. Vue.js
    3. Angular
    4. Node.js
    5. Express.js
    6. Python
    7. Django
    8. Flask
    9. Ruby on Rails
    10. PostgreSQL
    11. MongoDB
    12. Redis
    13. TensorFlow
    14. PyTorch
    15. Scikit-learn
    16. OpenAI API
    17. GPT-4
    18. Embeddings
    19. WebSockets
    20. Socket.IO
    21. Apache Kafka
    22. RabbitMQ
    23. Stripe
    24. Braintree
    25. Adyen
    26. AWS (Amazon Web Services)
    27. EC2
    28. S3
    29. RDS
    30. Lambda
    31. SageMaker
    32. Google Cloud Platform (GCP)
    33. Vertex AI
    34. Kubernetes
    35. GKE
    36. BigQuery
    37. Microsoft Azure
    38. Azure Machine Learning

    AI recommended 38 alternatives but never named arsh342/careercompass. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 arsh342/careercompass?
    pass
    AI named arsh342/careercompass explicitly

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

  • If a team adopts arsh342/careercompass in production, what risks or prerequisites should they evaluate first?
    pass
    AI named arsh342/careercompass 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 arsh342/careercompass solve, and who is the primary audience?
    pass
    AI named arsh342/careercompass explicitly

    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 arsh342/careercompass. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/arsh342/careercompass.svg)](https://repogeo.com/en/r/arsh342/careercompass)
HTML
<a href="https://repogeo.com/en/r/arsh342/careercompass"><img src="https://repogeo.com/badge/arsh342/careercompass.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

arsh342/careercompass — 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