RRepoGEO

REPOGEO REPORT · LITE

mixedbread-ai/mgrep

Default branch main · commit 5c1ba628 · scanned 6/29/2026, 5:42:15 AM

GitHub: 4,284 stars · 171 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
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 mixedbread-ai/mgrep, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's H1 to clarify its tool type

    Why:

    CURRENT
    <h1>mgrep</h1>
    COPY-PASTE FIX
    <h1>mgrep: CLI-Native Semantic Grep for Code, Images, PDFs & More</h1>
  • mediumreadme#2
    Add a differentiator statement in the README's 'Why mgrep?' section

    Why:

    COPY-PASTE FIX
    Add a sentence to the 'Why mgrep?' section: 'Unlike general-purpose vector databases or complex search frameworks, mgrep is a dedicated, local-first CLI tool for immediate semantic search across your files and the web.'

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 mixedbread-ai/mgrep
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Milvus
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Milvus · recommended 2×
  2. Qdrant · recommended 2×
  3. Elasticsearch · recommended 2×
  4. OpenAI Embeddings · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to semantically search code, images, and PDFs using natural language queries?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Embeddings
    2. Pinecone
    3. Weaviate
    4. Milvus
    5. Qdrant
    6. CLIP
    7. Hugging Face Transformers
    8. Elasticsearch
    9. ELSER
    10. Google Cloud Vertex AI Search
    11. Azure Cognitive Search
    12. Azure OpenAI Service
    13. FAISS
    14. LlamaIndex
    15. LangChain

    AI recommended 15 alternatives but never named mixedbread-ai/mgrep. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best CLI tools for multimodal semantic search across local files and the web?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. Jina AI
    3. Elasticsearch
    4. Faiss
    5. Milvus
    6. Qdrant

    AI recommended 6 alternatives but never named mixedbread-ai/mgrep. 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 mixedbread-ai/mgrep?
    pass
    AI named mixedbread-ai/mgrep explicitly

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

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

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

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mixedbread-ai/mgrep — 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