RRepoGEO

REPOGEO REPORT · LITE

GodsScion/Auto_job_applier_linkedIn

Default branch main · commit 8d74e8cc · scanned 5/12/2026, 7:33:29 PM

GitHub: 2,223 stars · 613 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 GodsScion/Auto_job_applier_linkedIn, 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 opening paragraph to highlight AI and full application scope

    Why:

    CURRENT
    This is an web scraping bot that automates the process of job applications on LinkedIn. It searches for jobs relevant to you, answers all questions in application form, customizes your resume based on the collected job information, such as skills required, description, about company, etc. and applies to the job. Can apply 100+ jobs in less than 1 hour.
    COPY-PASTE FIX
    This is a complete, open-source AI-powered application that automates the entire LinkedIn job application process. It intelligently searches for relevant jobs, answers application questions, and dynamically customizes your resume using collected job information (skills, description, company details) before applying. Achieve 100+ applications in under an hour.
  • hightopics#2
    Add topics that clarify the project as a full AI-powered application

    Why:

    CURRENT
    auto-apply, automatic-job-applier, automation, automation-selenium, easy-apply, easy-apply-jobs, job-application, job-search, linkedin, linkedin-job-scraper, linkedin-jobs-scraper, python, python3, selenium, selenium-python, undetected-chromedriver, webscraping
    COPY-PASTE FIX
    auto-apply, automatic-job-applier, automation, automation-selenium, easy-apply, easy-apply-jobs, job-application, job-search, linkedin, linkedin-job-scraper, linkedin-jobs-scraper, python, python3, selenium, selenium-python, undetected-chromedriver, webscraping, ai-job-application, resume-customization, job-automation-tool, full-application
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://youtu.be/gMbB1fWZHDw

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 GodsScion/Auto_job_applier_linkedIn
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Simplify.jobs
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Simplify.jobs · recommended 1×
  2. LazyApply · recommended 1×
  3. Jobscan.co · recommended 1×
  4. Rezi.ai · recommended 1×
  5. ChatGPT · recommended 1×
  • CATEGORY QUERY
    How can I automate my job application process to apply to many roles quickly?
    you: not recommended
    AI recommended (in order):
    1. Simplify.jobs
    2. LazyApply
    3. Jobscan.co
    4. Rezi.ai
    5. ChatGPT
    6. Google Gemini
    7. Text Blaze
    8. AutoHotkey
    9. Zapier
    10. Make

    AI recommended 10 alternatives but never named GodsScion/Auto_job_applier_linkedIn. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some good Python tools for automatically applying to jobs on professional networks?
    you: not recommended
    AI recommended (in order):
    1. Selenium
    2. Beautiful Soup 4 (bs4)
    3. Requests
    4. Playwright
    5. Scrapy
    6. PyAutoGUI

    AI recommended 6 alternatives but never named GodsScion/Auto_job_applier_linkedIn. 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 GodsScion/Auto_job_applier_linkedIn?
    pass
    AI did not name GodsScion/Auto_job_applier_linkedIn — 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 GodsScion/Auto_job_applier_linkedIn in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GodsScion/Auto_job_applier_linkedIn 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 GodsScion/Auto_job_applier_linkedIn solve, and who is the primary audience?
    pass
    AI did not name GodsScion/Auto_job_applier_linkedIn — 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

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MARKDOWN (README)
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GodsScion/Auto_job_applier_linkedIn — 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