RRepoGEO

REPOGEO REPORT · LITE

dhanji/g3

Default branch main · commit 0ddb052d · scanned 6/2/2026, 2:08:47 PM

GitHub: 512 stars · 98 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 dhanji/g3, 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
  • highabout#1
    Update the repository description to reflect its current purpose

    Why:

    CURRENT
    experiments in goose
    COPY-PASTE FIX
    A Rust-based AI coding agent for automating development tasks, generating code, and orchestrating LLM interactions.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    rust, ai-agent, llm, code-generation, task-automation, coding-assistant, developer-tools
  • highlicense#3
    Add a LICENSE file to clarify usage terms

    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).

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 dhanji/g3
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 1×
  2. Blackbox AI · recommended 1×
  3. Tabnine · recommended 1×
  4. GitHub Copilot · recommended 1×
  5. IntelliJ Rust Plugin · recommended 1×
  • CATEGORY QUERY
    Rust-based AI coding agent for automating development tasks and generating code?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Blackbox AI
    3. Tabnine
    4. GitHub Copilot
    5. IntelliJ Rust Plugin

    AI recommended 5 alternatives but never named dhanji/g3. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to orchestrate LLM interactions, execute shell commands, and manage coding tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. CrewAI
    5. Open Interpreter
    6. Haystack
    7. Semantic Kernel

    AI recommended 7 alternatives but never named dhanji/g3. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 dhanji/g3?
    pass
    AI named dhanji/g3 explicitly

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

  • If a team adopts dhanji/g3 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dhanji/g3 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 dhanji/g3 solve, and who is the primary audience?
    pass
    AI did not name dhanji/g3 — 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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dhanji/g3 — 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