RRepoGEO

REPOGEO REPORT · LITE

banglakit/awesome-bangla

Default branch main · commit 4da55e26 · scanned 6/5/2026, 6:12:20 PM

GitHub: 570 stars · 211 forks

AI VISIBILITY SCORE
22 /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
1 / 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 banglakit/awesome-bangla, 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 emphasize "awesome list" nature

    Why:

    CURRENT
    # awesome-bangla
A collection of tools, datasets and resources on Bangla computing. This list was compiled to help researchers and hobbyists interested in Natural Language Processing with the Bangla (Bengali) language. Please feel free to contribute.
    COPY-PASTE FIX
    # awesome-bangla
A curated list of awesome tools, datasets, and resources for Bangla computing. This comprehensive collection helps researchers and hobbyists discover and navigate the ecosystem for Natural Language Processing with the Bangla (Bengali) language. Contributions are welcome!
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the repository root to clearly state the project's licensing terms.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project website, a related organization page, or a dedicated landing page for BanglaKit) to the 'Homepage' field in the repository settings.

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 banglakit/awesome-bangla
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ULCA (Unified Language Contribution Alliance)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ULCA (Unified Language Contribution Alliance) · recommended 1×
  2. Hugging Face Datasets · recommended 1×
  3. IndicCorp · recommended 1×
  4. Wikipedia Dumps · recommended 1×
  5. WikiExtractor · recommended 1×
  • CATEGORY QUERY
    Where can I find datasets and NLP tools for processing Bengali text?
    you: not recommended
    AI recommended (in order):
    1. ULCA (Unified Language Contribution Alliance)
    2. Hugging Face Datasets
    3. IndicCorp
    4. Wikipedia Dumps
    5. WikiExtractor
    6. Common Crawl
    7. Hugging Face Transformers
    8. BanglaBERT
    9. IndicBERT
    10. mBERT
    11. XLM-RoBERTa
    12. IndicNLP Library
    13. NLTK (Natural Language Toolkit)
    14. spaCy
    15. Gensim

    AI recommended 15 alternatives but never named banglakit/awesome-bangla. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What libraries are available for implementing phonetic Bangla input in an application?
    you: not recommended
    AI recommended (in order):
    1. Avro Keyboard Engine (Avro Phonetic)
    2. Google Input Tools (Bangla Phonetic)
    3. Lekho (লেখন)
    4. BanglaKit

    AI recommended 4 alternatives but never named banglakit/awesome-bangla. 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 banglakit/awesome-bangla?
    pass
    AI did not name banglakit/awesome-bangla — likely talking about a different project

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

  • If a team adopts banglakit/awesome-bangla in production, what risks or prerequisites should they evaluate first?
    pass
    AI named banglakit/awesome-bangla 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 banglakit/awesome-bangla solve, and who is the primary audience?
    pass
    AI did not name banglakit/awesome-bangla — likely talking about a different project

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

Embed your GEO score

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MARKDOWN (README)
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banglakit/awesome-bangla — 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