RRepoGEO

REPOGEO REPORT · LITE

JordanCoin/codemap

Default branch main · commit adada166 · scanned 6/4/2026, 9:37:20 PM

GitHub: 583 stars · 51 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 JordanCoin/codemap, 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 tagline to emphasize codebase context

    Why:

    CURRENT
    > **codemap — a project brain for your AI.** > Give LLMs instant architectural context without burning tokens.
    COPY-PASTE FIX
    > **codemap — a project brain for your AI to understand codebases.** > Give LLMs instant *codebase* architectural context without burning tokens.
  • mediumtopics#2
    Add more specific code analysis topics

    Why:

    CURRENT
    claude, claude-code, cli, codex, codex-cli, context, cursor, developer-tools, llm, openai, project-management
    COPY-PASTE FIX
    claude, claude-code, cli, codex, codex-cli, context, cursor, developer-tools, llm, openai, project-management, code-analysis, static-analysis, codebase-understanding, software-architecture, code-visualization
  • lowhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://jordancoin.github.io/codemap

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 JordanCoin/codemap
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. LangChain · recommended 2×
  3. Pinecone · recommended 2×
  4. Weaviate · recommended 2×
  5. ChromaDB · recommended 1×
  • CATEGORY QUERY
    How to provide architectural context to large language models for better code understanding?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Pinecone
    4. Weaviate
    5. ChromaDB
    6. PlantUML
    7. Mermaid
    8. Neo4j
    9. ArangoDB
    10. LangChain Neo4j integration
    11. Sphinx
    12. MkDocs
    13. FAISS
    14. Elasticsearch
    15. Sourcegraph
    16. Understand

    AI recommended 16 alternatives but never named JordanCoin/codemap. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to give AI assistants project-level architectural context efficiently, saving tokens.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Pinecone
    4. Weaviate
    5. Chroma
    6. Faiss

    AI recommended 6 alternatives but never named JordanCoin/codemap. 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 JordanCoin/codemap?
    pass
    AI named JordanCoin/codemap explicitly

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

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

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

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JordanCoin/codemap — 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