RRepoGEO

REPOGEO REPORT · LITE

interviewstreet/hiring-agent

Default branch main · commit b4733e24 · scanned 6/8/2026, 7:52:54 PM

GitHub: 1,026 stars · 329 forks

AI VISIBILITY SCORE
28 /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
2 / 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 interviewstreet/hiring-agent, 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
    Clarify the project's core purpose in the README's opening

    Why:

    CURRENT
    <p align="center"><strong>Resume-to-Score pipeline</strong> that extracts structured data from PDFs, enriches with GitHub signals, and outputs a fair, explainable evaluation.</p>
    COPY-PASTE FIX
    <p align="center"><strong>An open-source AI agent for automated resume screening and objective candidate evaluation.</strong> It processes PDF resumes, extracts structured data, enriches profiles with GitHub signals, and generates fair, explainable scores.</p>
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai, resume-parser, resume-screening, candidate-evaluation, llm, generative-ai, github-api, pdf-parser, open-source
  • mediumreadme#3
    Add a clear statement about the project's active maintenance status

    Why:

    COPY-PASTE FIX
    This project is actively maintained and welcomes contributions.

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 interviewstreet/hiring-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Textkernel Extract!
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Textkernel Extract! · recommended 2×
  2. HireVue · recommended 1×
  3. IBM Watson Discovery · recommended 1×
  4. Google Cloud Talent Solution · recommended 1×
  5. OpenAI GPT-4 · recommended 1×
  • CATEGORY QUERY
    How can I automate resume screening and generate objective candidate evaluations using AI?
    you: not recommended
    AI recommended (in order):
    1. HireVue
    2. Textkernel Extract!
    3. IBM Watson Discovery
    4. Google Cloud Talent Solution
    5. OpenAI GPT-4
    6. Claude 3
    7. Llama 3
    8. Paradox
    9. SeekOut

    AI recommended 9 alternatives but never named interviewstreet/hiring-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a system to parse resume PDFs and augment candidate profiles with GitHub data.
    you: not recommended
    AI recommended (in order):
    1. HireSweet API
    2. Sovren Resume Parser
    3. GitHub API
    4. Textkernel Extract!
    5. Affinda Resume Parser
    6. RChilli Resume Parser
    7. spacy-cleaner
    8. pdfminer.six
    9. PyPDF2
    10. spaCy
    11. requests

    AI recommended 11 alternatives but never named interviewstreet/hiring-agent. 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 interviewstreet/hiring-agent?
    pass
    AI did not name interviewstreet/hiring-agent — 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 interviewstreet/hiring-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named interviewstreet/hiring-agent 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 interviewstreet/hiring-agent solve, and who is the primary audience?
    pass
    AI named interviewstreet/hiring-agent explicitly

    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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MARKDOWN (README)
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interviewstreet/hiring-agent — 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