RRepoGEO

REPOGEO REPORT · LITE

ankane/neighbor

Default branch master · commit 8b463e64 · scanned 6/7/2026, 4:42:41 PM

GitHub: 829 stars · 19 forks

AI VISIBILITY SCORE
28 /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
2 / 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 ankane/neighbor, 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 README H1 to emphasize Rails-native, multi-database vector search

    Why:

    CURRENT
    # Neighbor
    
    Nearest neighbor search for Rails
    
    Supports:
    
    - Postgres (pgvector and cube)
    - MariaDB 11.8+
    - MySQL 9.7+ (searching requires HeatWave)
    - SQLite
    
    Also available for Redis and S3 Vectors
    COPY-PASTE FIX
    # Neighbor
    
    Nearest neighbor search for Rails, providing a Ruby-native, ActiveRecord-compatible API for vector embeddings and similarity search across multiple databases.
    
    Supports:
    
    - Postgres (pgvector and cube)
    - MariaDB 11.8+
    - MySQL 9.7+ (searching requires HeatWave)
    - SQLite
    
    Also available for Redis and S3 Vectors
  • hightopics#2
    Add more specific topics for Rails, Ruby, and vector search

    Why:

    CURRENT
    nearest-neighbor-search
    COPY-PASTE FIX
    nearest-neighbor-search, rails, ruby, active-record, vector-search, vector-embeddings, similarity-search
  • mediumabout#3
    Add the repository URL as the homepage link in the About section

    Why:

    COPY-PASTE FIX
    https://github.com/ankane/neighbor

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 ankane/neighbor
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elasticsearch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Elasticsearch · recommended 2×
  2. Pgvector · recommended 1×
  3. Faiss · recommended 1×
  4. Pinecone · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    How can I implement efficient similarity search for user data in my Rails application?
    you: not recommended
    AI recommended (in order):
    1. Pgvector
    2. Faiss
    3. Pinecone
    4. Weaviate
    5. Elasticsearch
    6. Qdrant

    AI recommended 6 alternatives but never named ankane/neighbor. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the best way to add vector embeddings and search capabilities to a Postgres database?
    you: not recommended
    AI recommended (in order):
    1. pgvector (pgvector/pgvector)
    2. Lantern (lanterndb/lantern)
    3. Supabase
    4. Neon
    5. TimescaleDB (timescale/timescaledb)
    6. ZomboDB (zombodb/zombodb)
    7. Elasticsearch

    AI recommended 7 alternatives but never named ankane/neighbor. 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 ankane/neighbor?
    pass
    AI did not name ankane/neighbor — likely talking about a different project

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

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