RRepoGEO

REPOGEO REPORT · LITE

matt1398/claude-devtools

Default branch main · commit 16cc3c87 · scanned 6/22/2026, 3:36:12 AM

GitHub: 3,596 stars · 272 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
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 matt1398/claude-devtools, 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's core message to clarify debugging UI

    Why:

    CURRENT
    <h1>claude-devtools</h1>

<p align="center">
  <strong>Your Claude is coding blind. See everything it did.</strong>
</p>

<p align="center">
  <sub>The debugging tool for Claude Code. Read session transcripts, inspect tool calls, track token usage — directly from the Claude Code logs on your machine.</sub>
</p>
    COPY-PASTE FIX
    Update the README's opening to clearly state its purpose, for example:

<h1>claude-devtools: Visual Debugger & Observability UI for Claude Code</h1>

<p align="center">
  <strong>Your Claude is coding blind. See everything it did.</strong>
</p>

<p align="center">
  <sub>A dedicated desktop application for debugging Claude Code. Read session transcripts, inspect tool calls, track token usage — directly from the Claude Code logs on your machine.</sub>
</p>
  • highabout#2
    Refine repository description for clarity on debugging/observability

    Why:

    CURRENT
    The missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.
    COPY-PASTE FIX
    A visual debugging and observability UI for Claude Code. Inspect session logs, tool calls, token usage, subagents, and context window in a dedicated desktop app. Free, open source.
  • mediumcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., '## How claude-devtools Compares', explaining its specific focus on Claude Code's local logs and its dedicated desktop UI, differentiating it from broader LLM observability platforms like LangSmith, Helicone, or W&B Prompts.

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 matt1398/claude-devtools
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Helicone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Helicone · recommended 2×
  2. LangChain Hub / LangSmith · recommended 1×
  3. Weights & Biases (W&B) Prompts · recommended 1×
  4. OpenAI Playground / Azure OpenAI Studio · recommended 1×
  5. Humanloop · recommended 1×
  • CATEGORY QUERY
    How can I visually debug AI agent sessions and understand their internal thought process?
    you: not recommended
    AI recommended (in order):
    1. LangChain Hub / LangSmith
    2. Weights & Biases (W&B) Prompts
    3. OpenAI Playground / Azure OpenAI Studio
    4. Humanloop
    5. Helicone
    6. Streamlit
    7. Gradio

    AI recommended 7 alternatives but never named matt1398/claude-devtools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help analyze LLM token consumption and inspect tool calls for Anthropic models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenTelemetry
    3. LlamaIndex
    4. Helicone
    5. LiteLLM

    AI recommended 5 alternatives but never named matt1398/claude-devtools. 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 matt1398/claude-devtools?
    pass
    AI named matt1398/claude-devtools explicitly

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

  • If a team adopts matt1398/claude-devtools in production, what risks or prerequisites should they evaluate first?
    pass
    AI named matt1398/claude-devtools 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 matt1398/claude-devtools solve, and who is the primary audience?
    pass
    AI named matt1398/claude-devtools explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite