RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/contriever

Default branch main · commit 39fb2201 · scanned 6/10/2026, 1:57:39 AM

GitHub: 778 stars · 68 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/contriever, 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 relevant topics to improve category visibility

    Why:

    COPY-PASTE FIX
    dense-retrieval, information-retrieval, contrastive-learning, unsupervised-learning, nlp, semantic-search, multilingual, cross-lingual, transformers, huggingface
  • highreadme#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under the terms found in the LICENSE file.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://research.facebook.com/contriever/

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/contriever
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
UKPLab/sentence-transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. UKPLab/sentence-transformers · recommended 1×
  2. facebookresearch/faiss · recommended 1×
  3. RaRe-Technologies/gensim · recommended 1×
  4. OpenAI Embeddings · recommended 1×
  5. weaviate/weaviate · recommended 1×
  • CATEGORY QUERY
    How can I build a dense information retrieval system using unsupervised learning?
    you: not recommended
    AI recommended (in order):
    1. sentence_transformers (UKPLab/sentence-transformers)
    2. Faiss (facebookresearch/faiss)
    3. Gensim (RaRe-Technologies/gensim)
    4. OpenAI Embeddings
    5. Weaviate (weaviate/weaviate)
    6. Pinecone
    7. Qdrant (qdrant/qdrant)
    8. Haystack (deepset-ai/haystack)

    AI recommended 8 alternatives but never named facebookresearch/contriever. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a pre-trained model for multilingual semantic search and cross-lingual retrieval.
    you: not recommended
    AI recommended (in order):
    1. XLM-R (XLM-RoBERTa)
    2. LaBSE (Language-agnostic BERT Sentence Embedding)
    3. mBERT (Multilingual BERT)
    4. Distiluse-base-multilingual-cased-v2
    5. MiniLM-L6-v2
    6. M-BERT

    AI recommended 6 alternatives but never named facebookresearch/contriever. 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/contriever?
    pass
    AI named facebookresearch/contriever 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/contriever in production, what risks or prerequisites should they evaluate first?
    pass
    AI named facebookresearch/contriever 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/contriever solve, and who is the primary audience?
    pass
    AI named facebookresearch/contriever 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/contriever. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/facebookresearch/contriever.svg)](https://repogeo.com/en/r/facebookresearch/contriever)
HTML
<a href="https://repogeo.com/en/r/facebookresearch/contriever"><img src="https://repogeo.com/badge/facebookresearch/contriever.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

facebookresearch/contriever — 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