REPOGEO REPORT · LITE

GodsScion/Auto_job_applier_linkedIn

Default branch main · commit 8d74e8cc · scanned 6/23/2026, 4:18:09 AM

GitHub: 2,480 stars · 692 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 the README introduction to clarify its nature as an open-source Python script

Why:

CURRENT

# LinkedIn AI Auto Job Applier 🤖
This is an web scraping bot that automates the process of job applications on LinkedIn.

COPY-PASTE FIX

# LinkedIn AI Auto Job Applier 🤖
This open-source Python script automates LinkedIn job applications, designed for developers and job seekers who want to run a local bot rather than use a SaaS platform. It searches for jobs relevant to you, answers all questions in application form, customizes your resume based on collected job information, and applies to the job.

highhomepage#2
Add the repository URL as the homepage
Why:
COPY-PASTE FIX
```
https://github.com/GodsScion/Auto_job_applier_linkedIn
```

mediumreadme#3

Add a 'Comparison' section to differentiate from commercial alternatives

Why:

COPY-PASTE FIX

## 💡 How is this different from commercial platforms?
Unlike subscription-based services or commercial platforms like Simplify or Rezi.ai, this is a free, open-source Python script designed for local execution. It provides full transparency and control over your job application automation directly on LinkedIn, focusing on custom question answering and dynamic resume customization, without relying on external services.

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

Of all named tools, what % are you?

Top rival

Rezi.ai

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Rezi.ai · recommended 2×
LinkedIn Easy Apply · recommended 1×
Simplify · recommended 1×
LazyApply · recommended 1×
Jobalytics · recommended 1×

CATEGORY QUERY
How can I automate my job applications on LinkedIn to save time?
you: not recommended
AI recommended (in order):
1. LinkedIn Easy Apply
2. Simplify
3. LazyApply
4. Jobalytics
5. Rezi.ai
6. Kickresume
7. Selenium
8. Playwright
AI recommended 8 alternatives but never named GodsScion/Auto_job_applier_linkedIn. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a Python tool to automatically apply for jobs and customize resumes.
you: not recommended
AI recommended (in order):
1. Rezi.ai
2. Jobscan
3. Resume.io
4. Canva
5. LaTeX
AI recommended 5 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?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/GodsScion/Auto_job_applier_linkedIn.svg)](https://repogeo.com/en/r/GodsScion/Auto_job_applier_linkedIn)

HTML

<a href="https://repogeo.com/en/r/GodsScion/Auto_job_applier_linkedIn"><img src="https://repogeo.com/badge/GodsScion/Auto_job_applier_linkedIn.svg" alt="RepoGEO" /></a>

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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