RRepoGEO

REPOGEO REPORT · LITE

lanterndata/lantern

Default branch main · commit 7df590ce · scanned 6/2/2026, 6:52:27 AM

GitHub: 884 stars · 66 forks

AI VISIBILITY SCORE
90 /100
Healthy
Category recall
2 / 2
Avg rank #2.0 when recommended
Rule findings
2 pass · 0 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 lanterndata/lantern, 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 sentence to emphasize vector database identity

    Why:

    CURRENT
    Lantern is an open-source PostgreSQL database extension to store vector data, generate embeddings, and handle vector search operations.
    COPY-PASTE FIX
    Lantern is the open-source PostgreSQL **vector database extension** for building **AI applications**. It enables storing vector data, generating embeddings, and performing fast vector search operations directly within PostgreSQL.
  • mediumtopics#2
    Add 'vector-database' to the repository topics

    Why:

    CURRENT
    ai, ann, approximate-nearest-neighbor-search, data-science, database, embeddings, hnsw, image-search, knn, machine-learning, mlops, nearest-neighbor-search, neural-search, open-source, postgres, postgresql, search, vector, ycombinator
    COPY-PASTE FIX
    ai, ann, approximate-nearest-neighbor-search, data-science, database, embeddings, hnsw, image-search, knn, machine-learning, mlops, nearest-neighbor-search, neural-search, open-source, postgres, postgresql, search, vector, vector-database, ycombinator
  • lowreadme#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'Lantern vs. pgvector', explaining key differentiators and use cases where Lantern excels.

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
2 / 2
100% of queries surface lanterndata/lantern
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
18%
Of all named tools, what % are you?
Top rival
pgvector
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. pgvector · recommended 2×
  2. TimescaleDB · recommended 2×
  3. Neon · recommended 1×
  4. Supabase · recommended 1×
  5. ZomboDB · recommended 1×
  • CATEGORY QUERY
    How can I add vector search functionality to my existing PostgreSQL database?
    you: #2
    AI recommended (in order):
    1. pgvector
    2. Lantern ← you
    3. Neon
    4. Supabase
    5. TimescaleDB
    6. ZomboDB
    Show full AI answer
  • CATEGORY QUERY
    What are the best options for storing and querying vector embeddings directly in Postgres?
    you: #2
    AI recommended (in order):
    1. pgvector
    2. Lantern ← you
    3. TimescaleDB
    4. PostGIS
    5. Native JSONB
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 lanterndata/lantern?
    pass
    AI named lanterndata/lantern explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite