RRepoGEO

REPOGEO REPORT · LITE

marcoaapfortes/Mantic.sh

Default branch main · commit bb183c49 · scanned 5/31/2026, 11:06:51 PM

GitHub: 550 stars · 25 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 marcoaapfortes/Mantic.sh, 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
    Add a clear, disambiguating subtitle to the README's main heading

    Why:

    CURRENT
    # Mantic.sh
    COPY-PASTE FIX
    # Mantic.sh: Context-Aware Code Search Engine for AI Agents
  • highreadme#2
    Strengthen the README's opening summary to explicitly position Mantic.sh as a code search engine for AI agents

    Why:

    CURRENT
    Mantic is a **context-aware code search engine** that prioritizes **relevance over raw speed**.
    COPY-PASTE FIX
    Mantic.sh is an **enterprise-grade, context-aware code search engine specifically designed for AI agents** to perform highly relevant code retrieval. It prioritizes semantic understanding over raw speed, delivering superior result quality compared to traditional tools like grep/ripgrep.
  • mediumreadme#3
    Add a clear statement about the project's license to the README

    Why:

    COPY-PASTE FIX
    ## License
This project includes a LICENSE file detailing its terms. Please refer to the LICENSE file for specific licensing information.

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 marcoaapfortes/Mantic.sh
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Chroma
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Chroma · recommended 1×
  2. Weaviate · recommended 1×
  3. Pinecone · recommended 1×
  4. Qdrant · recommended 1×
  5. Faiss · recommended 1×
  • CATEGORY QUERY
    What's a good tool for AI agents to perform context-aware code retrieval?
    you: not recommended
    AI recommended (in order):
    1. Chroma
    2. Weaviate
    3. Pinecone
    4. Qdrant
    5. Faiss
    6. Milvus
    7. Elasticsearch

    AI recommended 7 alternatives but never named marcoaapfortes/Mantic.sh. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a code search tool that prioritizes semantic relevance over raw speed, better than grep.
    you: not recommended
    AI recommended (in order):
    1. Sourcegraph
    2. OpenGrok
    3. Black Duck Code Sight
    4. Ripgrep
    5. GitHub Code Search
    6. IntelliJ IDEA
    7. VS Code
    8. Pylance
    9. TypeScript Language Server

    AI recommended 9 alternatives but never named marcoaapfortes/Mantic.sh. 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 marcoaapfortes/Mantic.sh?
    pass
    AI named marcoaapfortes/Mantic.sh explicitly

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

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

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

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marcoaapfortes/Mantic.sh — 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