RRepoGEO

REPOGEO REPORT · LITE

colbymchenry/codegraph

Default branch main · commit c3f1e273 · scanned 5/21/2026, 6:07:12 AM

GitHub: 10,647 stars · 655 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 colbymchenry/codegraph, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-agents, code-analysis, knowledge-graph, ai-assistants, code-intelligence, token-reduction, local-llm, code-indexing, llm-optimization
  • highreadme#2
    Reposition README H1 to explicitly state its category for AI agents

    Why:

    CURRENT
    # CodeGraph
    COPY-PASTE FIX
    # CodeGraph: Pre-indexed Knowledge Graph for AI Code Agents
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Your project's official homepage URL]

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 colbymchenry/codegraph
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tree-sitter
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Tree-sitter · recommended 1×
  2. ast module · recommended 1×
  3. Roslyn · recommended 1×
  4. TypeScript Compiler API · recommended 1×
  5. Eclipse JDT · recommended 1×
  • CATEGORY QUERY
    How to reduce token usage and tool calls for AI code exploration agents?
    you: not recommended
    AI recommended (in order):
    1. Tree-sitter
    2. ast module
    3. Roslyn
    4. TypeScript Compiler API
    5. Eclipse JDT
    6. grep
    7. ripgrep
    8. ctags
    9. Universal Ctags
    10. git
    11. pylint
    12. ESLint
    13. Clang-Tidy
    14. sentence-transformers
    15. Hugging Face Transformers
    16. Faiss
    17. Annoy

    AI recommended 17 alternatives but never named colbymchenry/codegraph. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for local semantic code indexing to improve AI assistant understanding?
    you: not recommended
    AI recommended (in order):
    1. Chroma
    2. LanceDB
    3. FAISS (Facebook AI Similarity Search)
    4. Weaviate (Embedded)
    5. Qdrant (Local/Embedded)
    6. Milvus Lite

    AI recommended 6 alternatives but never named colbymchenry/codegraph. 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 colbymchenry/codegraph?
    pass
    AI named colbymchenry/codegraph explicitly

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

  • If a team adopts colbymchenry/codegraph in production, what risks or prerequisites should they evaluate first?
    pass
    AI named colbymchenry/codegraph 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 colbymchenry/codegraph solve, and who is the primary audience?
    pass
    AI named colbymchenry/codegraph 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 colbymchenry/codegraph. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/colbymchenry/codegraph.svg)](https://repogeo.com/en/r/colbymchenry/codegraph)
HTML
<a href="https://repogeo.com/en/r/colbymchenry/codegraph"><img src="https://repogeo.com/badge/colbymchenry/codegraph.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

colbymchenry/codegraph — 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
colbymchenry/codegraph — RepoGEO report