RRepoGEO

REPOGEO REPORT · LITE

CaviraOSS/PageLM

Default branch main · commit bd6087d2 · scanned 5/11/2026, 8:39:05 AM

GitHub: 1,617 stars · 220 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 CaviraOSS/PageLM, 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's H1 tagline to explicitly state target user and function

    Why:

    CURRENT
    **An open source AI powered education platform that transforms study materials into interactive learning experiences, slightly inspired by NotebookLM**
    COPY-PASTE FIX
    **PageLM is an open-source AI education platform for students, transforming study materials into interactive quizzes, flashcards, notes, and podcasts.**
  • mediumhomepage#2
    Add a homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    Add the URL of the project's live demo or official website to the 'Website' field in the repository's 'About' section.
  • lowlicense#3
    Clarify the project's license(s) in the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, ideally near the top, explicitly stating the license(s) that apply to PageLM (e.g., 'PageLM is licensed under [License Name 1] and [License Name 2]. See the LICENSE file for details.').

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 CaviraOSS/PageLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ankitects/anki
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ankitects/anki · recommended 1×
  2. huggingface/transformers · recommended 1×
  3. explosion/spaCy · recommended 1×
  4. OpenNMT/OpenNMT-py · recommended 1×
  5. docarray/docarray · recommended 1×
  • CATEGORY QUERY
    Open source AI platform to transform study materials into interactive quizzes and flashcards?
    you: not recommended
    AI recommended (in order):
    1. Anki (ankitects/anki)
    2. Hugging Face Transformers (huggingface/transformers)
    3. spaCy (explosion/spaCy)
    4. OpenNMT (OpenNMT/OpenNMT-py)
    5. DocArray (docarray/docarray)

    AI recommended 5 alternatives but never named CaviraOSS/PageLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are open-source AI tools for generating educational content like quizzes and audio summaries from documents?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. Hugging Face Transformers
    3. BART
    4. T5
    5. Pegasus
    6. Tacotron 2
    7. FastSpeech 2
    8. VITS
    9. spaCy
    10. Gensim
    11. Mozilla Common Voice
    12. Coqui TTS
    13. Mozilla TTS
    14. OpenNMT

    AI recommended 14 alternatives but never named CaviraOSS/PageLM. 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 CaviraOSS/PageLM?
    pass
    AI named CaviraOSS/PageLM explicitly

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

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

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

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CaviraOSS/PageLM — 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