RRepoGEO

REPOGEO REPORT · LITE

thu-coai/Glyph

Default branch main · commit 61afa7f2 · scanned 6/5/2026, 6:32:40 PM

GitHub: 590 stars · 50 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 thu-coai/Glyph, 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
  • hightopics#1
    Add specific topics to clarify the project's domain

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    long-context-llm, vision-language-models, text-compression, multimodal-ai, large-language-models, context-window-scaling, deep-learning, research-project
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add an Apache-2.0 LICENSE file to the repository root.
  • mediumhomepage#3
    Set the repository homepage

    Why:

    COPY-PASTE FIX
    Set the repository homepage to https://huggingface.co/zai-org/Glyph/

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 thu-coai/Glyph
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI API · recommended 1×
  5. Anthropic Claude · recommended 1×
  • CATEGORY QUERY
    How to efficiently handle very long text inputs for large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI API
    5. Anthropic Claude
    6. Google Gemini
    7. Hugging Face Transformers

    AI recommended 7 alternatives but never named thu-coai/Glyph. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking methods to compress large text documents for vision-language model processing.
    you: not recommended
    AI recommended (in order):
    1. PEGASUS
    2. BART
    3. T5
    4. Sentence-BERT
    5. Universal Sentence Encoder
    6. K-means
    7. HDBSCAN
    8. YAKE!
    9. RAKE
    10. spaCy
    11. LDA
    12. BERTopic
    13. NMF
    14. Longformer
    15. BigBird
    16. Performer
    17. Pinecone
    18. Weaviate
    19. Milvus

    AI recommended 19 alternatives but never named thu-coai/Glyph. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 thu-coai/Glyph?
    pass
    AI named thu-coai/Glyph explicitly

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

  • If a team adopts thu-coai/Glyph in production, what risks or prerequisites should they evaluate first?
    pass
    AI named thu-coai/Glyph 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 thu-coai/Glyph solve, and who is the primary audience?
    pass
    AI named thu-coai/Glyph explicitly

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

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thu-coai/Glyph — 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