RRepoGEO

REPOGEO REPORT · LITE

campfirein/byterover-cli

Default branch main · commit 93f25143 · scanned 5/16/2026, 5:16:46 AM

GitHub: 4,753 stars · 450 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 campfirein/byterover-cli, 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 README H1 to explicitly state core function

    Why:

    CURRENT
    # ByteRover CLI
    COPY-PASTE FIX
    # ByteRover CLI (brv) - The portable memory layer for autonomous coding agents
  • mediumreadme#2
    Add a 'Comparison' or 'What it's NOT' section to README

    Why:

    COPY-PASTE FIX
    ## How ByteRover CLI Differs
    
    Unlike generic vector databases (ChromaDB, Pinecone) or ML experiment trackers (DVC, MLflow), ByteRover CLI provides a structured, version-controlled *context tree* specifically designed for AI coding agents, enabling interactive REPL and cloud sync for agent knowledge. It is not for low-level system inspection or bytecode analysis.
  • lowreadme#3
    Clarify license details in README

    Why:

    COPY-PASTE FIX
    This project is licensed under the terms specified in the [LICENSE](LICENSE) file.

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 campfirein/byterover-cli
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. chroma-ai/chroma · recommended 1×
  3. Pinecone · recommended 1×
  4. weaviate/weaviate · recommended 1×
  5. pgvector/pgvector · recommended 1×
  • CATEGORY QUERY
    How can I give my autonomous coding agents persistent, shareable context memory across sessions?
    you: not recommended
    AI recommended (in order):
    1. ChromaDB (chroma-ai/chroma)
    2. Pinecone
    3. Weaviate (weaviate/weaviate)
    4. pgvector (pgvector/pgvector)
    5. Redis (redis/redis)
    6. Faiss (facebookresearch/faiss)
    7. LangChain (langchain-ai/langchain)

    AI recommended 7 alternatives but never named campfirein/byterover-cli. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a CLI tool to manage AI agent context with version control and interactive REPL.
    you: not recommended
    AI recommended (in order):
    1. LangChain CLI (langchain-ai/langchain)
    2. DVC (iterative/dvc)
    3. Git (git/git)
    4. MLflow (mlflow/mlflow)
    5. Weights & Biases (wandb/wandb)

    AI recommended 5 alternatives but never named campfirein/byterover-cli. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 campfirein/byterover-cli?
    pass
    AI named campfirein/byterover-cli explicitly

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

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