RRepoGEO

REPOGEO REPORT · LITE

BlinkDL/ChatRWKV

Default branch main · commit 965e40b8 · scanned 5/31/2026, 12:32:56 PM

GitHub: 9,496 stars · 688 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 BlinkDL/ChatRWKV, 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
    Update README H1 to emphasize core differentiators

    Why:

    CURRENT
    # ChatRWKV
    COPY-PASTE FIX
    # ChatRWKV: The 100% RNN Language Model & ChatGPT Alternative
  • hightopics#2
    Add more specific topics for better categorization

    Why:

    CURRENT
    chatbot, chatgpt, language-model, pytorch, rnn, rwkv
    COPY-PASTE FIX
    chatbot, chatgpt, language-model, pytorch, rnn, rwkv, recurrent-neural-network, transformer-alternative, efficient-llm, vram-efficient, llm-inference
  • mediumhomepage#3
    Add homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://www.rwkv.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 BlinkDL/ChatRWKV
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 2×
  2. PyTorch · recommended 2×
  3. Hugging Face Transformers · recommended 2×
  4. Rasa · recommended 1×
  5. DeepPavlov · recommended 1×
  • CATEGORY QUERY
    Seeking an open-source chatbot framework powered by recurrent neural networks for efficient deployment.
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. DeepPavlov
    3. ParlAI
    4. OpenNMT
    5. TensorFlow
    6. Keras
    7. PyTorch
    8. Hugging Face Transformers

    AI recommended 8 alternatives but never named BlinkDL/ChatRWKV. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are performant alternatives to transformer models for language generation that save VRAM?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Mamba
    4. Hugging Face Transformers
    5. Longformer
    6. Reformer
    7. Performer
    8. Mixtral 8x7B
    9. bitsandbytes
    10. AutoGPTQ
    11. AWQ

    AI recommended 11 alternatives but never named BlinkDL/ChatRWKV. 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 BlinkDL/ChatRWKV?
    pass
    AI named BlinkDL/ChatRWKV explicitly

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

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

Subscribe to Pro for deep diagnoses

BlinkDL/ChatRWKV — 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