RRepoGEO

REPOGEO REPORT · LITE

codag-megalith/codag-visualizer

Default branch main · commit 46307079 · scanned 6/11/2026, 2:23:04 AM

GitHub: 539 stars · 46 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
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 codag-megalith/codag-visualizer, 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 the README's initial description to clarify its core function

    Why:

    CURRENT
    Codag analyzes your code for LLM API calls and AI frameworks, then generates interactive workflow graphs — directly inside VSCode.
    COPY-PASTE FIX
    Codag is a **VSCode extension** designed to help you **visualize AI/LLM workflows directly from your codebase**. It analyzes your code for LLM API calls and AI frameworks, then generates interactive workflow graphs right inside VSCode.
  • hightopics#2
    Refine project topics for better categorization

    Why:

    CURRENT
    llm, system-design, vibecoding, visualization
    COPY-PASTE FIX
    llm, ai-workflows, code-analysis, vscode-extension, visualization, system-design, ide-tool
  • mediumreadme#3
    Add a concise 'Key Features' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '### Key Features', immediately after the initial description and before 'Gallery', with content like:
*   **Codebase-driven Visualization:** Automatically maps LLM calls and AI framework logic directly from your source code.
*   **Interactive Workflow Graphs:** Explore complex agent chains, decision branches, and data flows.
*   **VSCode Native:** Seamlessly integrated into your development environment for immediate insights.

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 codag-megalith/codag-visualizer
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangSmith
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangSmith · recommended 2×
  2. OpenTelemetry · recommended 2×
  3. jaegertracing/jaeger · recommended 1×
  4. Honeycomb · recommended 1×
  5. wandb/wandb · recommended 1×
  • CATEGORY QUERY
    How can I visualize the complex flow of LLM calls within my AI application codebase?
    you: not recommended
    AI recommended (in order):
    1. LangSmith
    2. OpenTelemetry
    3. Jaeger (jaegertracing/jaeger)
    4. Honeycomb
    5. WandB Prompts (wandb/wandb)
    6. D3.js (d3/d3)
    7. Mermaid.js (mermaid-js/mermaid)
    8. Grafana Tempo (grafana/tempo)
    9. Datadog APM

    AI recommended 9 alternatives but never named codag-megalith/codag-visualizer. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help visualize AI agent workflows directly inside my integrated development environment?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. Draw.io Integration
    4. Mermaid Preview
    5. Mermaid
    6. Graphviz
    7. Graphviz (DOT) Preview
    8. Python's `logging` module
    9. log4j
    10. OpenTelemetry
    11. Jaeger
    12. Zipkin
    13. AutoGen Studio
    14. AutoGen

    AI recommended 14 alternatives but never named codag-megalith/codag-visualizer. 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 codag-megalith/codag-visualizer?
    pass
    AI named codag-megalith/codag-visualizer explicitly

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

  • If a team adopts codag-megalith/codag-visualizer in production, what risks or prerequisites should they evaluate first?
    pass
    AI named codag-megalith/codag-visualizer 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 codag-megalith/codag-visualizer solve, and who is the primary audience?
    pass
    AI did not name codag-megalith/codag-visualizer — 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?

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codag-megalith/codag-visualizer — 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