RRepoGEO

REPOGEO REPORT · LITE

espressif/esp-box

Default branch master · commit d634baf9 · scanned 5/20/2026, 7:12:17 PM

GitHub: 1,248 stars · 274 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 espressif/esp-box, 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
    Clarify README's opening to emphasize hardware development kit

    Why:

    CURRENT
    # ESP-BOX AIoT Development Framework
    COPY-PASTE FIX
    # ESP-BOX: An AIoT, Edge AI, and IIoT Hardware Development Platform
  • hightopics#2
    Add comprehensive topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    aiot, edge-ai, iiot, esp32-s3, development-board, hardware, embedded-ai, iot-platform, voice-assistant, machine-learning, esp-box
  • mediumhomepage#3
    Add a dedicated product or documentation homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://www.espressif.com/en/products/devkits/esp-box

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 espressif/esp-box
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AWS IoT Greengrass
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS IoT Greengrass · recommended 2×
  2. Edge Impulse · recommended 1×
  3. TensorFlow Lite for Microcontrollers · recommended 1×
  4. Azure IoT Edge · recommended 1×
  5. Particle · recommended 1×
  • CATEGORY QUERY
    What development platform is best for building embedded AI and IoT applications?
    you: not recommended
    AI recommended (in order):
    1. Edge Impulse
    2. TensorFlow Lite for Microcontrollers
    3. AWS IoT Greengrass
    4. Azure IoT Edge
    5. Particle
    6. OpenVINO Toolkit

    AI recommended 6 alternatives but never named espressif/esp-box. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an integrated framework for edge AI and industrial IoT projects.
    you: not recommended
    AI recommended (in order):
    1. AWS IoT Greengrass
    2. Azure IoT Edge (Azure/iotedge)
    3. Google Cloud IoT Edge (Anthos for Edge)
    4. Eclipse IoT
    5. Eclipse Kura (eclipse/kura)
    6. Eclipse Ditto (eclipse/ditto)
    7. OpenVINO Toolkit (Intel) (openvinotoolkit/openvino)
    8. EdgeX Foundry (edgexfoundry/edgex-go)
    9. Siemens Industrial Edge

    AI recommended 9 alternatives but never named espressif/esp-box. 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 espressif/esp-box?
    pass
    AI named espressif/esp-box explicitly

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

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

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MARKDOWN (README)
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HTML
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espressif/esp-box — 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