RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/LAMA

Default branch main · commit 5cba81b6 · scanned 5/23/2026, 6:03:13 PM

GitHub: 1,387 stars · 187 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 facebookresearch/LAMA, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    language-models, nlp, knowledge-probing, model-analysis, factual-knowledge, commonsense-reasoning
  • highreadme#2
    Reposition the README's opening sentence to emphasize 'framework' and 'toolkit'

    Why:

    CURRENT
    LAMA is a probe for analyzing the factual and commonsense knowledge contained in pretrained language models.
    COPY-PASTE FIX
    LAMA is an open-source **framework and toolkit** for **probing and analyzing** the factual and commonsense knowledge contained in pretrained language models.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the official project page or primary research paper URL here.

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 facebookresearch/LAMA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ELI5
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ELI5 · recommended 2×
  2. TruthfulQA · recommended 1×
  3. MMLU · recommended 1×
  4. CommonsenseQA · recommended 1×
  5. HellaSwag · recommended 1×
  • CATEGORY QUERY
    How can I evaluate the factual and commonsense knowledge stored in large language models?
    you: not recommended
    AI recommended (in order):
    1. TruthfulQA
    2. MMLU
    3. CommonsenseQA
    4. HellaSwag
    5. PIQA
    6. ELI5
    7. FEVER
    8. Natural Questions
    9. WebGPT Comparisons

    AI recommended 9 alternatives but never named facebookresearch/LAMA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to probe pretrained language models for their understanding of world facts?
    you: not recommended
    AI recommended (in order):
    1. LRE (Language Model Representation Explorer)
    2. LM-BFF (Language Model-based Few-shot Learner)
    3. TransformerLens
    4. ConceptNet
    5. WordNet
    6. TensorBoard's Embedding Projector
    7. UMAP
    8. AllenNLP Interpret
    9. ELI5

    AI recommended 9 alternatives but never named facebookresearch/LAMA. 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 facebookresearch/LAMA?
    pass
    AI named facebookresearch/LAMA 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/LAMA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named facebookresearch/LAMA 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/LAMA solve, and who is the primary audience?
    pass
    AI named facebookresearch/LAMA explicitly

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

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facebookresearch/LAMA — 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
facebookresearch/LAMA — RepoGEO report