RRepoGEO

REPOGEO REPORT · LITE

fastino-ai/GLiNER2

Default branch main · commit 73a82a15 · scanned 5/15/2026, 8:47:21 AM

GitHub: 1,519 stars · 140 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 fastino-ai/GLiNER2, 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
    Refine the README's opening tagline to highlight unique differentiators

    Why:

    CURRENT
    > *Extract entities, classify text, parse structured data, and extract relations—all in one efficient model.*
    COPY-PASTE FIX
    > *Perform zero-shot, schema-based entity extraction, text classification, structured data parsing, and relation extraction—all unified in one efficient, CPU-first model.*
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    information-extraction, named-entity-recognition, text-classification, relation-extraction, structured-data, nlp, zero-shot, cpu-inference, machine-learning, python
  • mediumhomepage#3
    Add the project homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://pioneer.ai/gliner

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 fastino-ai/GLiNER2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DistilBERT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DistilBERT · recommended 1×
  2. ALBERT · recommended 1×
  3. RoBERTa · recommended 1×
  4. T5 · recommended 1×
  5. SpaCy · recommended 1×
  • CATEGORY QUERY
    How to perform NER, classification, and relation extraction with one CPU-efficient model?
    you: not recommended
    AI recommended (in order):
    1. DistilBERT
    2. ALBERT
    3. RoBERTa
    4. T5
    5. SpaCy
    6. SetFit
    7. Hugging Face Transformers library

    AI recommended 7 alternatives but never named fastino-ai/GLiNER2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a local solution to extract structured information and classify text from documents.
    you: not recommended
    AI recommended (in order):
    1. spaCy
    2. NLTK
    3. Hugging Face Transformers
    4. OpenNLP
    5. Stanford CoreNLP

    AI recommended 5 alternatives but never named fastino-ai/GLiNER2. 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 fastino-ai/GLiNER2?
    pass
    AI named fastino-ai/GLiNER2 explicitly

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

  • If a team adopts fastino-ai/GLiNER2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fastino-ai/GLiNER2 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 fastino-ai/GLiNER2 solve, and who is the primary audience?
    pass
    AI named fastino-ai/GLiNER2 explicitly

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

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fastino-ai/GLiNER2 — 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