RRepoGEO

REPOGEO REPORT · LITE

tnm/zclaw

Default branch main · commit e3ad2712 · scanned 5/21/2026, 3:26:56 PM

GitHub: 2,145 stars · 182 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 tnm/zclaw, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen README's opening to clarify core identity

    Why:

    CURRENT
    # zclaw

The smallest possible AI personal assistant for ESP32.
    COPY-PASTE FIX
    # zclaw: Your Personal AI Assistant for ESP32

zclaw is a compact, on-device AI personal assistant for ESP32 microcontrollers, designed to run within a strict all-in firmware budget of <= 888 KiB. It provides GPIO control, scheduled tasks, persistent memory, and custom tool integration through natural language.
  • mediumreadme#2
    Add a 'Why zclaw?' section to highlight key differentiators

    Why:

    COPY-PASTE FIX
    ## Why zclaw? Key Differentiators

- **Ultra-Compact AI:** Runs an AI assistant entirely on ESP32 within an 888 KiB all-in firmware budget.
- **On-Device Intelligence:** Provides natural language control for GPIO, scheduled tasks (cron), persistent memory, and custom tool composition directly on your microcontroller.
- **C-Native Performance:** Built in C for maximum efficiency and tight integration with ESP-IDF.
- **Open & Hackable:** Designed for easy customization and extension.

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 tnm/zclaw
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow Lite for Microcontrollers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Lite for Microcontrollers · recommended 2×
  2. Edge Impulse · recommended 2×
  3. Arduino · recommended 2×
  4. MicroSpeech · recommended 1×
  5. ESP-DSP Library · recommended 1×
  • CATEGORY QUERY
    What are the best options for a compact AI assistant on ESP32 microcontrollers?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite for Microcontrollers
    2. MicroSpeech
    3. Edge Impulse
    4. ESP-DSP Library
    5. Arduino

    AI recommended 5 alternatives but never named tnm/zclaw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an embedded AI framework for ESP32 with GPIO, scheduling, and custom tool integration.
    you: not recommended
    AI recommended (in order):
    1. ESP-IDF
    2. TensorFlow Lite for Microcontrollers
    3. MicroPython
    4. uTensor
    5. Arduino
    6. PlatformIO
    7. Edge Impulse

    AI recommended 7 alternatives but never named tnm/zclaw. 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 tnm/zclaw?
    pass
    AI named tnm/zclaw explicitly

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

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

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

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tnm/zclaw — 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