RRepoGEO

REPOGEO REPORT · LITE

horseee/DeepCache

Default branch master · commit 1691a3ab · scanned 6/16/2026, 9:08:29 AM

GitHub: 968 stars · 54 forks

AI VISIBILITY SCORE
58 /100
Needs work
Category recall
1 / 2
Avg rank #8.0 when recommended
Rule findings
2 pass · 0 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 horseee/DeepCache, 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 DeepCache's mechanism and relationship to samplers in the README

    Why:

    COPY-PASTE FIX
    Add a sentence to the 'Why DeepCache' section or just below the main title, such as: 'DeepCache is a novel caching mechanism that accelerates diffusion models by reusing intermediate key-value states, working seamlessly with popular samplers like DDIM and PLMS, rather than replacing them.'
  • mediumreadme#2
    Add a 'How DeepCache Compares' section to the README

    Why:

    COPY-PASTE FIX
    Create a new section, e.g., '### How DeepCache Compares', that briefly explains how DeepCache differs from or complements other acceleration strategies (e.g., samplers, quantization, general inference runtimes, UI frameworks).
  • lowtopics#3
    Add more specific technical topics related to caching

    Why:

    CURRENT
    diffusion-models, efficient-inference, model-compression, stable-diffusion, training-free
    COPY-PASTE FIX
    diffusion-models, efficient-inference, model-compression, stable-diffusion, training-free, kv-cache, attention-caching

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
1 / 2
50% of queries surface horseee/DeepCache
Avg rank
#8.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
AUTOMATIC1111/stable-diffusion-webui
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AUTOMATIC1111/stable-diffusion-webui · recommended 1×
  2. comfyanonymous/ComfyUI · recommended 1×
  3. microsoft/onnxruntime · recommended 1×
  4. TensorRT · recommended 1×
  5. huggingface/optimum · recommended 1×
  • CATEGORY QUERY
    How to speed up stable diffusion model inference without significant quality loss?
    you: #8
    AI recommended (in order):
    1. Automatic1111's Stable Diffusion WebUI (AUTOMATIC1111/stable-diffusion-webui)
    2. ComfyUI (comfyanonymous/ComfyUI)
    3. ONNX Runtime (microsoft/onnxruntime)
    4. TensorRT
    5. optimum (huggingface/optimum)
    6. Diffusers Library (huggingface/diffusers)
    7. xformers (facebookresearch/xformers)
    8. DeepCache (horseee/DeepCache) ← you
    9. LCM-LoRA
    10. SDXL Turbo
    11. SD-Turbo
    Show full AI answer
  • CATEGORY QUERY
    Looking for a training-free method to accelerate large diffusion models for faster generation.
    you: not recommended
    AI recommended (in order):
    1. DDIM
    2. DPM-Solver
    3. PLMS
    4. UniPC
    5. LCM
    6. Euler Ancestral / Euler Discrete
    7. Hugging Face's diffusers
    8. k-diffusion

    AI recommended 8 alternatives but never named horseee/DeepCache. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 horseee/DeepCache?
    pass
    AI named horseee/DeepCache explicitly

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

  • If a team adopts horseee/DeepCache in production, what risks or prerequisites should they evaluate first?
    pass
    AI named horseee/DeepCache 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 horseee/DeepCache solve, and who is the primary audience?
    pass
    AI named horseee/DeepCache 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 horseee/DeepCache. 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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horseee/DeepCache — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite