RRepoGEO

REPOGEO REPORT · LITE

arcee-ai/DistillKit

Default branch main · commit 59573b8b · scanned 6/12/2026, 3:17:47 PM

GitHub: 961 stars · 126 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 arcee-ai/DistillKit, 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
    Refine README's opening statement to emphasize unique value

    Why:

    CURRENT
    A flexible and production-ready toolkit for knowledge distillation of large language models, supporting both online and offline distillation workflows with advanced logit compression.
    COPY-PASTE FIX
    DistillKit is a flexible, production-ready toolkit for **large-scale LLM knowledge distillation**, uniquely focused on **offline workflows with advanced logit compression**. It enables efficient training of smaller, high-performing student models from large teachers, especially for scenarios involving billions of tokens.
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL, e.g., `https://arcee.ai/distillkit` or similar, to the repository's 'About' section.

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 arcee-ai/DistillKit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. PyTorch · recommended 1×
  3. DeepSpeed · recommended 1×
  4. Accelerate · recommended 1×
  5. DistilBERT · recommended 1×
  • CATEGORY QUERY
    What open source tools exist for LLM knowledge distillation, especially for offline workflows?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch
    3. DeepSpeed
    4. Accelerate
    5. DistilBERT
    6. Knowledge Distillation Toolkit (KDT)

    AI recommended 6 alternatives but never named arcee-ai/DistillKit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to perform large-scale offline distillation for LLMs with advanced compression techniques?
    you: not recommended
    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 arcee-ai/DistillKit?
    pass
    AI named arcee-ai/DistillKit explicitly

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

  • If a team adopts arcee-ai/DistillKit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named arcee-ai/DistillKit 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 arcee-ai/DistillKit solve, and who is the primary audience?
    pass
    AI named arcee-ai/DistillKit 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 arcee-ai/DistillKit. 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/arcee-ai/DistillKit.svg)](https://repogeo.com/en/r/arcee-ai/DistillKit)
HTML
<a href="https://repogeo.com/en/r/arcee-ai/DistillKit"><img src="https://repogeo.com/badge/arcee-ai/DistillKit.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

arcee-ai/DistillKit — 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