RRepoGEO

REPOGEO REPORT · LITE

leptonai/search_with_lepton

Default branch main · commit 0a2fe371 · scanned 5/13/2026, 6:27:47 AM

GitHub: 8,097 stars · 1,006 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 leptonai/search_with_lepton, 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 opening sentence to emphasize Lepton AI platform and demo nature

    Why:

    CURRENT
    Build your own conversational search engine using less than 500 lines of code.
    COPY-PASTE FIX
    A ready-to-deploy, full-stack example of a conversational search engine built on the Lepton AI platform, using less than 500 lines of code.
  • mediumtopics#2
    Add more specific topics related to conversational AI, RAG, and its demo/example nature

    Why:

    CURRENT
    ai, ai-applications, leptonai, llm
    COPY-PASTE FIX
    ai, ai-applications, leptonai, llm, conversational-ai, search-engine, rag, demo, example
  • mediumabout#3
    Refine repository description for clarity and keyword density

    Why:

    CURRENT
    Building a quick conversation-based search demo with Lepton AI.
    COPY-PASTE FIX
    A full-stack, ready-to-deploy conversational search engine demo built with Lepton AI, showcasing Retrieval Augmented Generation (RAG) for custom AI-powered search experiences.

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 leptonai/search_with_lepton
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weaviate
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Weaviate · recommended 2×
  2. Pinecone · recommended 2×
  3. Haystack · recommended 1×
  4. LlamaIndex · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How to quickly build a conversational search engine with LLM integration?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LlamaIndex
    3. LangChain
    4. Weaviate
    5. Pinecone

    AI recommended 5 alternatives but never named leptonai/search_with_lepton. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for creating a custom AI-powered search experience?
    you: not recommended
    AI recommended (in order):
    1. Elasticsearch
    2. Solr
    3. Vespa.ai
    4. Pinecone
    5. Weaviate
    6. Algolia
    7. Azure Cognitive Search

    AI recommended 7 alternatives but never named leptonai/search_with_lepton. This is the gap to close.

    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 leptonai/search_with_lepton?
    pass
    AI named leptonai/search_with_lepton explicitly

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

  • If a team adopts leptonai/search_with_lepton in production, what risks or prerequisites should they evaluate first?
    pass
    AI named leptonai/search_with_lepton 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 leptonai/search_with_lepton solve, and who is the primary audience?
    pass
    AI did not name leptonai/search_with_lepton — 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?

Embed your GEO score

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MARKDOWN (README)
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leptonai/search_with_lepton — RepoGEO report