RRepoGEO

REPOGEO REPORT · LITE

giancarloerra/SocratiCode

Default branch main · commit aedfa854 · scanned 5/8/2026, 5:16:16 AM

GitHub: 2,430 stars · 331 forks

AI VISIBILITY SCORE
33 /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
2 / 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 giancarloerra/SocratiCode, 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
    Explicitly clarify the project's core function in the README's opening

    Why:

    CURRENT
    Your AI reads code. SocratiCode understands it.The open-source codebase context engine: give any AI instant automated knowledge of your entire codebase (and infrastructure) — at scale, zero configuration, fully private, completely free.
    COPY-PASTE FIX
    SocratiCode is an enterprise-grade codebase intelligence engine, *not* a conversational AI framework or a Socratic dialogue tool for learning code. It provides instant automated knowledge of your entire codebase (and infrastructure) to any AI — at scale, zero configuration, fully private, completely free.
  • highcomparison#2
    Add a dedicated section comparing SocratiCode to common codebase analysis tools

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## SocratiCode vs. Traditional Code Analysis & AI Tools' that explicitly contrasts SocratiCode's unique features (e.g., zero-setup, local & private, semantic search, polyglot dependency graphs, AI integration) with tools like SonarQube, Understand, Lattix Architect, CodeSonar, or Sourcegraph.
  • mediumtopics#3
    Refine repository topics to emphasize core functionality and remove overly specific integration topics

    Why:

    CURRENT
    ai, ai-assistant, ast, claude, claude-code, code-graph, codebase-intelligence, context-engine, docker, embeddings, gemini, gemini-cli-extension, mcp, openai, qdrant, semantic, semantic-search, vector-database, vector-embeddings, vector-search
    COPY-PASTE FIX
    ai, ai-assistant, ast, code-graph, codebase-intelligence, context-engine, docker, embeddings, openai, qdrant, semantic, semantic-search, vector-database, vector-embeddings, vector-search, code-analysis, static-analysis, dependency-analysis, impact-analysis, code-comprehension, software-intelligence, enterprise-software

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 giancarloerra/SocratiCode
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SonarQube
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SonarQube · recommended 2×
  2. Understand · recommended 1×
  3. Lattix Architect · recommended 1×
  4. CodeSonar · recommended 1×
  5. Klocwork · recommended 1×
  • CATEGORY QUERY
    How can I analyze large codebases for dependencies and call flows privately, without cloud exposure?
    you: not recommended
    AI recommended (in order):
    1. Understand
    2. Lattix Architect
    3. CodeSonar
    4. SonarQube
    5. Klocwork
    6. Source-Navigator NG
    7. Doxygen
    8. Graphviz

    AI recommended 8 alternatives but never named giancarloerra/SocratiCode. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide semantic search and impact analysis for enterprise codebases with AI integration?
    you: not recommended
    AI recommended (in order):
    1. Sourcegraph
    2. GitHub Copilot Enterprise
    3. Cody
    4. DeepCode AI
    5. CodeGuru
    6. Kite
    7. SonarQube

    AI recommended 7 alternatives but never named giancarloerra/SocratiCode. 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 giancarloerra/SocratiCode?
    pass
    AI did not name giancarloerra/SocratiCode — likely talking about a different project

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

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

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

Embed your GEO score

Drop this badge into the README of giancarloerra/SocratiCode. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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giancarloerra/SocratiCode — 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