RRepoGEO

REPOGEO REPORT · LITE

zai-org/GLM-OCR

Default branch main · commit cef4d0ea · scanned 5/22/2026, 4:26:43 AM

GitHub: 6,637 stars · 617 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 zai-org/GLM-OCR, 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
    Reposition README opening to highlight LMM foundation

    Why:

    CURRENT
    The README currently starts with "## GLM-OCR" followed by community links and then "### Model Introduction".
    COPY-PASTE FIX
    Add a concise introductory sentence directly under "## GLM-OCR" that emphasizes its LMM/multimodal nature for complex document understanding. For example: "GLM-OCR is a state-of-the-art multimodal OCR model built on a Large Multimodal Model (LMM) architecture, designed for highly accurate and generalized text extraction from complex document layouts."
  • mediumtopics#2
    Expand topics to include LMM and document understanding

    Why:

    CURRENT
    glm, image2text, ocr
    COPY-PASTE FIX
    glm, image2text, ocr, large-multimodal-model, lmm, document-understanding, vlm, multimodal-ai
  • lowhomepage#3
    Add the API documentation link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://docs.z.ai/guides/vlm/glm-ocr

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 zai-org/GLM-OCR
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tesseract OCR
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Tesseract OCR · recommended 2×
  2. PaddleOCR · recommended 2×
  3. Surya · recommended 1×
  4. OCRmyPDF · recommended 1×
  5. DocTR · recommended 1×
  • CATEGORY QUERY
    What are robust open-source OCR solutions for accurate text extraction from complex document layouts?
    you: not recommended
    AI recommended (in order):
    1. Tesseract OCR
    2. PaddleOCR
    3. Surya
    4. OCRmyPDF
    5. DocTR

    AI recommended 5 alternatives but never named zai-org/GLM-OCR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a fast and highly generalized image-to-text model for diverse document types.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI (Document AI)
    2. Microsoft Azure AI Vision (Read OCR)
    3. Amazon Textract
    4. Tesseract OCR
    5. OpenCV
    6. PaddleOCR

    AI recommended 6 alternatives but never named zai-org/GLM-OCR. 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 zai-org/GLM-OCR?
    pass
    AI named zai-org/GLM-OCR explicitly

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

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

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

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zai-org/GLM-OCR — 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