REPOGEO REPORT · LITE

mpoon/gpt-repository-loader

Default branch main · commit c2438247 · scanned 5/20/2026, 9:07:49 PM

GitHub: 2,976 stars · 233 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

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 mpoon/gpt-repository-loader, 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 opening paragraph to clarify LLM-specific purpose

Why:

CURRENT

gpt-repository-loader is a command-line tool that converts the contents of a Git repository into a text format, preserving the structure of the files and file contents. The generated output can be interpreted by AI language models, allowing them to process the repository's contents for various tasks, such as code review or documentation generation.

COPY-PASTE FIX

gpt-repository-loader is a command-line tool designed to prepare entire Git repositories for Large Language Models (LLMs). It converts codebases into a structured, prompt-friendly text format, preserving file hierarchy and content, enabling LLMs to perform tasks like code review, summarization, or documentation generation effectively.

hightopics#2

Add relevant topics to the repository

Why:

COPY-PASTE FIX

llm, gpt, ai, code-analysis, code-summarization, prompt-engineering, developer-tools, python

mediumhomepage#3
Add a homepage URL to the repository
Why:
COPY-PASTE FIX
```
https://github.com/mpoon/gpt-repository-loader
```

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 mpoon/gpt-repository-loader

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Prettier

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Prettier · recommended 1×
Black · recommended 1×
ClangFormat · recommended 1×
ESLint · recommended 1×
RuboCop · recommended 1×

CATEGORY QUERY
How can I prepare a codebase for AI-powered analysis or summarization?
you: not recommended
AI recommended (in order):
1. Prettier
2. Black
3. ClangFormat
4. ESLint
5. RuboCop
6. JSDoc
7. Sphinx
8. Doxygen
9. JavaDoc
10. SonarQube
11. Pylint
12. Checkstyle
13. Git
14. GitHub
15. GitLab
16. Bitbucket
17. `ast` module
18. `@babel/parser`
19. `tree-sitter`
20. Eclipse JDT
AI recommended 20 alternatives but never named mpoon/gpt-repository-loader. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What's the best way to format a large code repository for a language model prompt?
you: not recommended
AI recommended (in order):
1. Sourcegraph
2. OpenGrok
3. lsif-go
4. lsif-tsc
5. ripgrep
6. git grep
7. cloc
AI recommended 7 alternatives but never named mpoon/gpt-repository-loader. 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 mpoon/gpt-repository-loader?
pass
AI named mpoon/gpt-repository-loader explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts mpoon/gpt-repository-loader in production, what risks or prerequisites should they evaluate first?
pass
AI named mpoon/gpt-repository-loader 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 mpoon/gpt-repository-loader solve, and who is the primary audience?
pass
AI did not name mpoon/gpt-repository-loader — 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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Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/mpoon/gpt-repository-loader.svg)](https://repogeo.com/en/r/mpoon/gpt-repository-loader)

HTML

<a href="https://repogeo.com/en/r/mpoon/gpt-repository-loader"><img src="https://repogeo.com/badge/mpoon/gpt-repository-loader.svg" alt="RepoGEO" /></a>

Pro

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mpoon/gpt-repository-loader — 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