RRepoGEO

REPOGEO REPORT · LITE

matsui528/faiss_tips

Default branch main · commit 60d5325b · scanned 6/8/2026, 1:47:52 PM

GitHub: 631 stars · 48 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 matsui528/faiss_tips, 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
  • highreadme#1
    Reposition the README's opening to clarify its role as a practical guide for Faiss

    Why:

    CURRENT
    # Faiss tips
- Some useful tips for faiss
    COPY-PASTE FIX
    # Faiss Tips: A Practical Guide and Examples for Efficient Vector Search
This repository provides a curated collection of practical tips, code examples, and best practices for effectively using the Faiss library to optimize vector similarity search performance on both CPU and GPU.
  • mediumabout#2
    Expand the repository description to highlight its value as a practical guide

    Why:

    CURRENT
    Some useful tips for faiss
    COPY-PASTE FIX
    A practical guide and collection of code examples for effectively using and optimizing the Faiss library for vector similarity search on CPU and GPU.
  • lowhomepage#3
    Add the repository URL as the homepage link

    Why:

    COPY-PASTE FIX
    https://github.com/matsui528/faiss_tips

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 matsui528/faiss_tips
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ScaNN
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ScaNN · recommended 2×
  2. Faiss · recommended 1×
  3. Annoy · recommended 1×
  4. Hnswlib · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    How to perform fast similarity search on large datasets?
    you: not recommended
    AI recommended (in order):
    1. Faiss
    2. Annoy
    3. Hnswlib
    4. ScaNN
    5. Weaviate
    6. Milvus
    7. Elasticsearch

    AI recommended 7 alternatives but never named matsui528/faiss_tips. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking guidance for optimizing vector similarity search performance on CPU and GPU.
    you: not recommended
    AI recommended (in order):
    1. Faiss (facebookresearch/faiss)
    2. Annoy (spotify/annoy)
    3. Hnswlib (nmslib/hnswlib)
    4. ScaNN
    5. Milvus (milvus-io/milvus)
    6. Weaviate (weaviate/weaviate)

    AI recommended 6 alternatives but never named matsui528/faiss_tips. 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 matsui528/faiss_tips?
    pass
    AI named matsui528/faiss_tips explicitly

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

  • If a team adopts matsui528/faiss_tips in production, what risks or prerequisites should they evaluate first?
    pass
    AI named matsui528/faiss_tips 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 matsui528/faiss_tips solve, and who is the primary audience?
    pass
    AI named matsui528/faiss_tips explicitly

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

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matsui528/faiss_tips — 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