RRepoGEO

REPOGEO REPORT · LITE

MurrayHill1127/reopencode

Default branch main · commit d20b7a9c · scanned 5/23/2026, 8:47:58 PM

GitHub: 1,212 stars · 79 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
30 /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
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 MurrayHill1127/reopencode, 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 GitHub repository description

    Why:

    CURRENT
    OpenCode Cover.
    COPY-PASTE FIX
    A lightweight, standalone Rust rewrite of OpenCode, providing a terminal-based AI coding assistant with LLM integration and no runtime dependencies.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    rust, ai-coding-assistant, llm, terminal-ui, tui, cli, code-generation, developer-tools, no-dependencies
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a `LICENSE` file with the text of a standard open-source license (e.g., MIT or Apache-2.0) to the repository root.

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 MurrayHill1127/reopencode
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tabnine
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Tabnine · recommended 1×
  2. CodeGPT · recommended 1×
  3. Code Llama · recommended 1×
  4. WizardCoder · recommended 1×
  5. Ollama · recommended 1×
  • CATEGORY QUERY
    Looking for a lightweight AI coding assistant that runs locally without heavy runtime dependencies.
    you: not recommended
    AI recommended (in order):
    1. Tabnine
    2. CodeGPT
    3. Code Llama
    4. WizardCoder
    5. Ollama
    6. LM Studio
    7. FauxPilot
    8. GitHub Copilot
    9. CodeGen
    10. SantaCoder
    11. text-generation-inference
    12. Continue
    13. LocalAI
    14. OpenAI API
    15. StarCoder

    AI recommended 15 alternatives but never named MurrayHill1127/reopencode. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good terminal-based AI coding tools with LLM integration and local execution capabilities?
    you: not recommended
    AI recommended (in order):
    1. Continue.dev
    2. aider
    3. smol-dev
    4. Open Interpreter
    5. GPT-Engineer

    AI recommended 5 alternatives but never named MurrayHill1127/reopencode. 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 MurrayHill1127/reopencode?
    pass
    AI named MurrayHill1127/reopencode explicitly

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

  • If a team adopts MurrayHill1127/reopencode in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MurrayHill1127/reopencode 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 MurrayHill1127/reopencode solve, and who is the primary audience?
    pass
    AI named MurrayHill1127/reopencode explicitly

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

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MurrayHill1127/reopencode — 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