RRepoGEO

REPOGEO REPORT · LITE

CaviraOSS/PageLM

Default branch main · commit 736f22b9 · scanned 6/21/2026, 12:18:02 PM

GitHub: 1,662 stars · 227 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 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
    Add a clear 'What is PageLM?' section to the README

    Why:

    COPY-PASTE FIX
    ## What is PageLM?
PageLM is an open-source, AI-powered education platform designed for students and educators. It transforms your study materials—like lecture notes, PDFs, and textbooks—into engaging, interactive learning resources such as quizzes, flashcards, detailed notes, and even AI-generated podcasts. Our goal is to make learning more accessible and effective, directly addressing the needs of students seeking alternatives to tools like Quizlet and Anki.
  • mediumhomepage#2
    Add homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    [Your project's live demo or main website URL]
  • mediumlicense#3
    Clarify the project's license(s) directly in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under [Specify License Name(s) here, e.g., "a custom license combining Apache-2.0 and MIT terms"]. See the [LICENSE](LICENSE) file for full 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
Quizlet
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Quizlet · recommended 1×
  2. Anki · recommended 1×
  3. Memrise · recommended 1×
  4. Knowt · recommended 1×
  5. ChatGPT · recommended 1×
  • CATEGORY QUERY
    How to convert lecture notes and PDFs into interactive quizzes and flashcards?
    you: not recommended
    AI recommended (in order):
    1. Quizlet
    2. Anki
    3. Memrise
    4. Knowt
    5. ChatGPT
    6. PDFelement
    7. Adobe Acrobat Pro DC

    AI recommended 7 alternatives but never named CaviraOSS/PageLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source AI platform to generate study materials from documents, including podcasts.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper (openai/whisper)
    2. Llama 2
    3. Mistral
    4. GPT-4all (nomic-ai/gpt4all)
    5. Haystack (deepset-ai/haystack)
    6. Hugging Face Models
    7. T5
    8. BART
    9. Flan-T5
    10. LangChain (langchain-ai/langchain)
    11. Rasa (RasaHQ/rasa)
    12. DocArray (docarray/docarray)
    13. Jina AI (jina-ai/jina)

    AI recommended 13 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?

Embed your GEO score

Drop this badge into the README of CaviraOSS/PageLM. 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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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