RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/atlas

Default branch main · commit 0ec88894 · scanned 6/14/2026, 11:23:13 PM

GitHub: 562 stars · 72 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 facebookresearch/atlas, 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 for better categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    retrieval-augmented-language-models, few-shot-learning, nlp, language-models, deep-learning, question-answering, research, facebook-ai
  • highreadme#2
    Reorder README introduction to prioritize project description

    Why:

    CURRENT
    # Atlas: Few-shot Learning with Retrieval Augmented Language Models
    
    REPO NO LONGER MAINTAINED, RESEARCH CODE PROVIDED AS IT IS
    
    This repository contains pre-trained models, corpora, indices, and code for pre-training, finetuning, retrieving and evaluating for the paper Atlas: Few-shot Learning with Retrieval Augmented Language Models
    COPY-PASTE FIX
    # Atlas: Few-shot Learning with Retrieval Augmented Language Models
    
    This repository contains pre-trained models, corpora, indices, and code for pre-training, finetuning, retrieving and evaluating for the paper Atlas: Few-shot Learning with Retrieval Augmented Language Models.
    
    REPO NO LONGER MAINTAINED, RESEARCH CODE PROVIDED AS IT IS
  • mediumhomepage#3
    Add the paper URL as the repository homepage

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://arxiv.org/abs/2208.03299

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/atlas
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  2. Anthropic Claude 3 · recommended 1×
  3. Google Gemini · recommended 1×
  4. Meta Llama 3 · recommended 1×
  5. Hugging Face Transformers library · recommended 1×
  • CATEGORY QUERY
    How can I achieve strong few-shot performance in NLP using external knowledge?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. Anthropic Claude 3
    3. Google Gemini
    4. Meta Llama 3
    5. Hugging Face Transformers library
    6. Mistral 7B
    7. Mixtral 8x7B
    8. Neo4j
    9. Wikidata
    10. Faiss
    11. Weaviate
    12. Pinecone
    13. Qdrant
    14. Elasticsearch
    15. sentence-transformers
    16. all-MiniLM-L6-v2
    17. bge-large-en-v1.5

    AI recommended 17 alternatives but never named facebookresearch/atlas. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for frameworks to build retrieval-augmented language models for question answering.
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LlamaIndex
    3. LangChain
    4. DeepPavlov
    5. RAGatouille
    6. Hugging Face Transformers

    AI recommended 6 alternatives but never named facebookresearch/atlas. 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/atlas?
    pass
    AI named facebookresearch/atlas 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/atlas in production, what risks or prerequisites should they evaluate first?
    pass
    AI named facebookresearch/atlas 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/atlas solve, and who is the primary audience?
    pass
    AI named facebookresearch/atlas 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/atlas. 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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HTML
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite