RRepoGEO

REPOGEO REPORT · LITE

michaelzixizhou/codag

Default branch main · commit 46307079 · scanned 6/17/2026, 7:42:44 PM

GitHub: 541 stars · 48 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 michaelzixizhou/codag, 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 introductory sentence to clarify its core function and tool type

    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 that visualizes AI/LLM workflows directly from your codebase, helping you understand and debug complex agent logic.
  • mediumtopics#2
    Refine repository topics for better categorization

    Why:

    CURRENT
    llm, system-design, vibecoding, visualization
    COPY-PASTE FIX
    llm, visualization, vscode-extension, ai-workflow, code-analysis, llm-agent, workflow-visualization
  • mediumreadme#3
    Add a section to the README differentiating Codag from runtime tracing tools

    Why:

    COPY-PASTE FIX
    ### How is Codag different from runtime tracers like LangSmith or OpenTelemetry?
Codag focuses on *static analysis* and *design-time visualization* of your LLM application's code structure. It helps you understand the intended flow and dependencies *before* execution, directly within your IDE. Unlike runtime tracers, Codag does not monitor live application performance, logs, or network calls.

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 michaelzixizhou/codag
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenTelemetry
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenTelemetry · recommended 2×
  2. LangServe UI · recommended 1×
  3. LangSmith · recommended 1×
  4. OpenReplay · recommended 1×
  5. Prometheus · recommended 1×
  • CATEGORY QUERY
    What tools help visualize complex AI application logic and LLM call sequences?
    you: not recommended
    AI recommended (in order):
    1. LangServe UI
    2. LangSmith
    3. OpenReplay
    4. OpenTelemetry
    5. Prometheus
    6. Grafana
    7. Weights & Biases
    8. Draw.io
    9. Lucidchart
    10. Miro
    11. Mermaid.js
    12. PlantUML

    AI recommended 12 alternatives but never named michaelzixizhou/codag. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I visually trace the execution flow of my LLM agent's components?
    you: not recommended
    AI recommended (in order):
    1. LangChain Plus (LangSmith)
    2. OpenTelemetry
    3. Jaeger
    4. Grafana Tempo
    5. Arize AI Phoenix
    6. Weights & Biases (W&B) Prompts
    7. Helicone
    8. ELK Stack
    9. Elasticsearch
    10. Logstash
    11. Kibana

    AI recommended 11 alternatives but never named michaelzixizhou/codag. 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 michaelzixizhou/codag?
    pass
    AI named michaelzixizhou/codag explicitly

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

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

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

Embed your GEO score

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michaelzixizhou/codag — 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