RRepoGEO

REPOGEO REPORT · LITE

neo4j/NaLLM

Default branch main · commit 1af09cd1 · scanned 5/13/2026, 11:33:01 AM

GitHub: 1,405 stars · 268 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 neo4j/NaLLM, 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
    neo4j, llm, knowledge-graph, rag, natural-language-interface, graph-database, text-to-graph
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://medium.com/neo4j/harnessing-large-language-models-with-neo4j-306ccbdd2867
  • lowabout#3
    Update the repository description for clarity

    Why:

    CURRENT
    Repository for the NaLLM project
    COPY-PASTE FIX
    Explore synergies between Neo4j and Large Language Models (LLMs) for knowledge graph creation, natural language interfaces, and report generation.

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 neo4j/NaLLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI API · recommended 2×
  4. Neo4j · recommended 1×
  5. Kuzu · recommended 1×
  • CATEGORY QUERY
    Tools to create a knowledge graph from unstructured text using large language models?
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. LangChain
    3. LlamaIndex
    4. Kuzu
    5. Haystack
    6. OpenAI API
    7. Anthropic's Claude
    8. Google's Gemini
    9. Pandas
    10. NetworkX
    11. Stanford CoreNLP

    AI recommended 11 alternatives but never named neo4j/NaLLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build a natural language interface for querying my graph-structured data?
    you: not recommended
    AI recommended (in order):
    1. Neo4j Bloom
    2. Neo4j AuraDS
    3. Neo4j Graph Data Science Library
    4. LangChain
    5. LlamaIndex
    6. OpenAI API
    7. Anthropic Claude
    8. Google Gemini
    9. Apache TinkerPop
    10. SpaCy
    11. NLTK
    12. GraphQL

    AI recommended 12 alternatives but never named neo4j/NaLLM. 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 neo4j/NaLLM?
    pass
    AI named neo4j/NaLLM explicitly

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

  • If a team adopts neo4j/NaLLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named neo4j/NaLLM 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 neo4j/NaLLM solve, and who is the primary audience?
    pass
    AI named neo4j/NaLLM explicitly

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

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neo4j/NaLLM — 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