RRepoGEO

REPOGEO REPORT · LITE

ardanlabs/kronk

Default branch main · commit fef2d93c · scanned 6/11/2026, 4:23:47 PM

GitHub: 660 stars · 40 forks

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 ardanlabs/kronk, 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
    Reposition the README's opening statement to clearly define the project's core purpose

    Why:

    CURRENT
    This project lets you use Go for hardware accelerated local inference with llama.cpp and whisper.cpp directly integrated into your Go applications via the yzma and bucky modules. Kronk provides a high-level API that feels similar to using an OpenAI compatible API.
    COPY-PASTE FIX
    Kronk is your personal engine for running open source AI models locally. It provides hardware-accelerated local inference with `llama.cpp` and `whisper.cpp` directly integrated into your Go applications, offering a high-level API similar to OpenAI.
  • mediumhomepage#2
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://kronkai.com

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 ardanlabs/kronk
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
llama.cpp
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. llama.cpp · recommended 1×
  2. go-llama.cpp · recommended 1×
  3. ollama · recommended 1×
  4. ONNX Runtime · recommended 1×
  5. gorgonnx · recommended 1×
  • CATEGORY QUERY
    How to integrate local LLM inference into Go applications with hardware acceleration?
    you: not recommended
    AI recommended (in order):
    1. llama.cpp
    2. go-llama.cpp
    3. ollama
    4. ONNX Runtime
    5. gorgonnx
    6. onnxruntime-go
    7. TensorFlow Lite
    8. go-tensorflow
    9. OpenVINO
    10. go-openvino
    11. CUDA
    12. cuDNN
    13. gocudart
    14. gocudnn

    AI recommended 14 alternatives but never named ardanlabs/kronk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a local model server for Go applications supporting chat, embeddings, and audio transcription.
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LocalAI (mudler/LocalAI)
    3. Go-LLM (go-llm/llm)
    4. TensorFlow Lite (tensorflow/tensorflow)
    5. ONNX Runtime (microsoft/onnxruntime)

    AI recommended 5 alternatives but never named ardanlabs/kronk. 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 ardanlabs/kronk?
    pass
    AI named ardanlabs/kronk explicitly

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

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

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/ardanlabs/kronk.svg)](https://repogeo.com/en/r/ardanlabs/kronk)
HTML
<a href="https://repogeo.com/en/r/ardanlabs/kronk"><img src="https://repogeo.com/badge/ardanlabs/kronk.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ardanlabs/kronk — 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