RRepoGEO

REPOGEO REPORT · LITE

criteo/autofaiss

Default branch master · commit 709c6dba · scanned 6/14/2026, 11:16:28 PM

GitHub: 903 stars · 78 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 criteo/autofaiss, 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 the repository

    Why:

    COPY-PASTE FIX
    faiss, vector-search, knn, machine-learning, optimization, automation, similarity-search, indexing
  • highreadme#2
    Reposition the README H1 to specify its unique value

    Why:

    CURRENT
    # AutoFaiss
    COPY-PASTE FIX
    # AutoFaiss: Automated Faiss Index Optimization for Efficient Vector Search
  • mediumreadme#3
    Strengthen the README's opening paragraph to emphasize automation and simplification

    Why:

    CURRENT
    **Automatically create Faiss knn indices with the most optimal similarity search parameters.** It selects the best indexing parameters to achieve the highest recalls given memory and query speed constraints.
    COPY-PASTE FIX
    **AutoFaiss simplifies and optimizes Faiss index creation, automatically selecting the best parameters for efficient k-nearest neighbor (KNN) search.** It abstracts away the complexity of Faiss, allowing you to achieve high recalls within your memory and query speed constraints without manual experimentation.

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 criteo/autofaiss
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Faiss
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Faiss · recommended 2×
  2. Annoy · recommended 2×
  3. ScaNN · recommended 2×
  4. Hnswlib · recommended 2×
  5. Milvus · recommended 2×
  • CATEGORY QUERY
    How to automatically build efficient k-nearest neighbor indices for large datasets?
    you: not recommended
    AI recommended (in order):
    1. Faiss
    2. Annoy
    3. ScaNN
    4. Hnswlib
    5. NMSLIB
    6. Milvus
    7. Elasticsearch

    AI recommended 7 alternatives but never named criteo/autofaiss. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to optimize vector similarity search index creation given memory and speed limits?
    you: not recommended
    AI recommended (in order):
    1. Faiss
    2. ScaNN
    3. Hnswlib
    4. Annoy
    5. Milvus
    6. Vald

    AI recommended 6 alternatives but never named criteo/autofaiss. 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 criteo/autofaiss?
    pass
    AI named criteo/autofaiss explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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criteo/autofaiss — 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