RRepoGEO

REPOGEO REPORT · LITE

zamalali/DeepGit

Default branch main · commit 612d7051 · scanned 6/4/2026, 9:03:07 AM

GitHub: 879 stars · 93 forks

AI VISIBILITY SCORE
35 /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
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 zamalali/DeepGit, 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
    Add a concise mission statement directly under the H1

    Why:

    CURRENT
    <p align="center"></p>
    COPY-PASTE FIX
    <p align="center">
  DeepGit is an advanced agent for deep research and intelligent discovery of GitHub repositories, helping you find niche and relevant projects.
</p>
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumreadme#3
    Emphasize DeepGit as a ready-to-use agent/tool in the README

    Why:

    CURRENT
    **DeepGit** is an advanced, Langgraph-based agentic workflow designed to perform deep research across GitHub repositories. It intelligently searches, analyzes, and ranks repositories based on user intent—even uncovering less-known but highly relevant tools. DeepGit infuses hybrid dense retrieval with advanced cross-encoder re-ranking and comprehensive activity analysis into a unified, open-source platform for intelligent repository discovery
    COPY-PASTE FIX
    **DeepGit** is an advanced, Langgraph-based agentic workflow designed to perform deep research across GitHub repositories. It functions as a complete, ready-to-use agent, offering a distinct advantage over manual search or building solutions from scratch with libraries. It intelligently searches, analyzes, and ranks repositories based on user intent—even uncovering less-known but highly relevant tools. DeepGit infuses hybrid dense retrieval with advanced cross-encoder re-ranking and comprehensive activity analysis into a unified, open-source platform for intelligent repository discovery

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 zamalali/DeepGit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Advanced Search
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Advanced Search · recommended 1×
  2. Awesome Lists · recommended 1×
  3. Awesome-Selfhosted · recommended 1×
  4. Awesome-Public-Datasets · recommended 1×
  5. Hacker News · recommended 1×
  • CATEGORY QUERY
    How to find niche open-source GitHub projects using intelligent deep research?
    you: not recommended
    AI recommended (in order):
    1. GitHub Advanced Search
    2. Awesome Lists
    3. Awesome-Selfhosted
    4. Awesome-Public-Datasets
    5. Hacker News
    6. Lobste.rs
    7. Twitter (X)
    8. Mastodon
    9. Reddit
    10. r/opensource
    11. r/selfhosted
    12. r/commandline
    13. r/SideProject
    14. Libraries.io
    15. Sourcegraph

    AI recommended 15 alternatives but never named zamalali/DeepGit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an agent to analyze and rank GitHub repositories based on detailed criteria and hardware.
    you: not recommended
    AI recommended (in order):
    1. GitHub API
    2. PyGithub (PyGithub/PyGithub)
    3. requests (psf/requests)
    4. Pandas (pandas-dev/pandas)
    5. Scikit-learn (scikit-learn/scikit-learn)
    6. Elasticsearch
    7. PostgreSQL
    8. psycopg2 (psycopg/psycopg2)
    9. SQLAlchemy (sqlalchemy/sqlalchemy)
    10. Jupyter Notebooks (jupyter/jupyter)
    11. Apache Spark (apache/spark)
    12. Databricks
    13. EMR

    AI recommended 13 alternatives but never named zamalali/DeepGit. 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 zamalali/DeepGit?
    pass
    AI named zamalali/DeepGit explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite