RRepoGEO

REPOGEO REPORT · LITE

Zefan-Cai/KVCache-Factory

Default branch main · commit ffac1607 · scanned 5/12/2026, 7:17:59 AM

GitHub: 1,332 stars · 169 forks

AI VISIBILITY SCORE
28 /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
2 / 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 Zefan-Cai/KVCache-Factory, 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
    Add a concise project overview to the README's beginning

    Why:

    CURRENT
    The README currently begins with "## News".
    COPY-PASTE FIX
    Zefan-Cai/KVCache-Factory is a unified framework for implementing and evaluating KV Cache compression methods for auto-regressive large language models (LLMs). It aims to provide an extensible platform for efficient LLM inference, supporting diverse models and multi-GPU setups.
  • mediumhomepage#2
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/Zefan-Cai/KVCache-Factory#readme
  • lowtopics#3
    Expand repository topics to include LLM inference optimization terms

    Why:

    CURRENT
    kv-cache, kv-cache-compression, llm
    COPY-PASTE FIX
    kv-cache, kv-cache-compression, llm, llm-inference, llm-optimization, deep-learning-inference, gpu-acceleration

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 Zefan-Cai/KVCache-Factory
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
vLLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. vLLM · recommended 2×
  2. DeepSpeed-MII · recommended 2×
  3. Hugging Face Transformers · recommended 2×
  4. AWQ · recommended 1×
  5. GPTQ · recommended 1×
  • CATEGORY QUERY
    How to reduce KV cache memory usage for large language models during inference?
    you: not recommended
    AI recommended (in order):
    1. AWQ
    2. GPTQ
    3. FP8
    4. TransformerEngine
    5. vLLM
    6. DeepSpeed-MII
    7. Hugging Face Transformers
    8. FlashAttention-2
    9. Hugging Face Transformers

    AI recommended 9 alternatives but never named Zefan-Cai/KVCache-Factory. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking framework for efficient KV cache compression methods in multi-GPU LLM deployments.
    you: not recommended
    AI recommended (in order):
    1. vLLM
    2. DeepSpeed-MII
    3. Hugging Face TGI
    4. NVIDIA TensorRT-LLM
    5. LightLLM
    6. OpenVINO

    AI recommended 6 alternatives but never named Zefan-Cai/KVCache-Factory. 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 Zefan-Cai/KVCache-Factory?
    pass
    AI did not name Zefan-Cai/KVCache-Factory — likely talking about a different project

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

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

Subscribe to Pro for deep diagnoses

Zefan-Cai/KVCache-Factory — 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
Zefan-Cai/KVCache-Factory — RepoGEO report