RRepoGEO

REPOGEO REPORT · LITE

Ryandonofrio3/osgrep

Default branch main · commit 9f2faf7e · scanned 5/8/2026, 10:07:09 PM

GitHub: 1,136 stars · 68 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 Ryandonofrio3/osgrep, 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 opening to clarify AI agent focus

    Why:

    CURRENT
    Natural-language search that works like `grep`. Fast, local, and built for coding agents.
    COPY-PASTE FIX
    Semantic search for your AI coding agent. Understand code concepts and dependencies with natural language queries, locally and fast.
  • highhomepage#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://deepwiki.com/Ryandonofrio3/osgrep
  • mediumtopics#3
    Expand repository topics to include AI agent and semantic search terms

    Why:

    CURRENT
    colbert, embeddings, grep, grep-search
    COPY-PASTE FIX
    colbert, embeddings, grep, grep-search, ai-agent, semantic-search, code-search, code-understanding, llm-tools

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 Ryandonofrio3/osgrep
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Glean
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Glean · recommended 1×
  2. Sourcegraph Cody · recommended 1×
  3. GitHub Copilot Chat · recommended 1×
  4. GitHub Copilot Enterprise · recommended 1×
  5. OpenAI Embeddings · recommended 1×
  • CATEGORY QUERY
    How can I semantically search my codebase for concepts using natural language queries?
    you: not recommended
    AI recommended (in order):
    1. Glean
    2. Sourcegraph Cody
    3. GitHub Copilot Chat
    4. GitHub Copilot Enterprise
    5. OpenAI Embeddings
    6. Pinecone
    7. Weaviate
    8. Faiss
    9. LlamaIndex
    10. LangChain
    11. Hugging Face
    12. Chroma

    AI recommended 12 alternatives but never named Ryandonofrio3/osgrep. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good local tools for AI agents to understand code dependencies and roles?
    you: not recommended
    AI recommended (in order):
    1. SciTools Understand
    2. Lattix LDM
    3. CodeSonar
    4. Sourcetrail
    5. Graphviz
    6. CodeQL

    AI recommended 6 alternatives but never named Ryandonofrio3/osgrep. 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 Ryandonofrio3/osgrep?
    pass
    AI named Ryandonofrio3/osgrep explicitly

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

  • If a team adopts Ryandonofrio3/osgrep in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Ryandonofrio3/osgrep 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 Ryandonofrio3/osgrep solve, and who is the primary audience?
    pass
    AI named Ryandonofrio3/osgrep explicitly

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

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Ryandonofrio3/osgrep — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
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