RRepoGEO

REPOGEO REPORT · LITE

yoanbernabeu/grepai

Default branch main · commit c4f294b3 · scanned 5/29/2026, 7:57:08 AM

GitHub: 1,706 stars · 138 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 yoanbernabeu/grepai, 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/intro to clarify core purpose for AI agents

    Why:

    CURRENT
    # grepai

### grep for the AI era

**Search code by meaning, not just text.**
    COPY-PASTE FIX
    # grepai

### Semantic Code Search & Call Graphs for AI Agents (100% Local)

**Search code by meaning, not just text, specifically to provide context for AI agents.**
  • mediumtopics#2
    Add specific topics for AI agent development and local tooling

    Why:

    CURRENT
    ai, claude-code, cli, code-search, cursor, developer-tools, embeddings, golang, mcp, privacy-first, semantic-search, vector-search
    COPY-PASTE FIX
    ai, claude-code, cli, code-search, cursor, developer-tools, embeddings, golang, mcp, privacy-first, semantic-search, vector-search, ai-agents, local-ai, agent-tooling, code-context
  • lowreadme#3
    Add a 'Why grepai?' section to highlight differentiators against competitors

    Why:

    COPY-PASTE FIX
    ## Why grepai?

Unlike cloud-based solutions like Sourcegraph or GitHub Copilot, `grepai` operates 100% locally, ensuring your code never leaves your machine. It's specifically designed to integrate with AI agents, providing precise, context-rich code snippets and call graph insights to drastically reduce token usage and improve agent accuracy, without compromising privacy.

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 yoanbernabeu/grepai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Sourcegraph
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Sourcegraph · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. OpenAI API · recommended 1×
  4. text-embedding-ada-002 · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to find relevant code snippets by meaning for AI agent context?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Sourcegraph
    3. OpenAI API
    4. text-embedding-ada-002
    5. Pinecone
    6. Weaviate
    7. Qdrant
    8. Google Cloud Codey API
    9. Tabnine
    10. code-search by Google
    11. semantic-code-search

    AI recommended 11 alternatives but never named yoanbernabeu/grepai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for local, privacy-first semantic code search and tracing function call graphs?
    you: not recommended
    AI recommended (in order):
    1. Sourcegraph
    2. OpenGrok
    3. LSIF (Language Server Index Format)
    4. Language Server Protocol (LSP)
    5. lsif-go
    6. lsif-tsc
    7. lsif-clangd
    8. VS Code
    9. Neovim
    10. ctags
    11. exuberant ctags
    12. CodeQL

    AI recommended 12 alternatives but never named yoanbernabeu/grepai. 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 yoanbernabeu/grepai?
    pass
    AI named yoanbernabeu/grepai explicitly

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

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

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

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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