RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/SpanBERT

Default branch main · commit 0670d8b6 · scanned 5/30/2026, 5:42:10 PM

GitHub: 905 stars · 177 forks

AI VISIBILITY SCORE
74 /100
Needs work
Category recall
2 / 2
Avg rank #5.5 when recommended
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 facebookresearch/SpanBERT, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumreadme#1
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Please refer to the LICENSE file for details on the specific terms and conditions governing the use of this software.
  • lowhomepage#2
    Add the HuggingFace link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://huggingface.co/SpanBERT

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
2 / 2
100% of queries surface facebookresearch/SpanBERT
Avg rank
#5.5
Lower is better. #1 = top recommendation.
Share of voice
15%
Of all named tools, what % are you?
Top rival
BERT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BERT · recommended 2×
  2. RoBERTa · recommended 1×
  3. ELECTRA · recommended 1×
  4. LongFormer · recommended 1×
  5. XLNet · recommended 1×
  • CATEGORY QUERY
    What are effective pre-trained models for improving span representation in natural language processing?
    you: #4
    AI recommended (in order):
    1. BERT
    2. RoBERTa
    3. ELECTRA
    4. SpanBERT ← you
    5. LongFormer
    6. XLNet
    Show full AI answer
  • CATEGORY QUERY
    Seeking a language model to enhance performance on question answering and coreference resolution tasks.
    you: #7
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. GPT-3.5 Turbo
    4. Llama 3
    5. Mistral Large
    6. BERT
    7. SpanBERT ← you
    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 facebookresearch/SpanBERT?
    pass
    AI named facebookresearch/SpanBERT explicitly

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

  • If a team adopts facebookresearch/SpanBERT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named facebookresearch/SpanBERT 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 facebookresearch/SpanBERT solve, and who is the primary audience?
    pass
    AI named facebookresearch/SpanBERT 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 facebookresearch/SpanBERT. 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)
[![RepoGEO](https://repogeo.com/badge/facebookresearch/SpanBERT.svg)](https://repogeo.com/en/r/facebookresearch/SpanBERT)
HTML
<a href="https://repogeo.com/en/r/facebookresearch/SpanBERT"><img src="https://repogeo.com/badge/facebookresearch/SpanBERT.svg" alt="RepoGEO" /></a>
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facebookresearch/SpanBERT — 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