RRepoGEO

REPOGEO REPORT · LITE

neuron-core/neuron-ai

Default branch 3.x · commit ea529d15 · scanned 5/18/2026, 1:57:01 AM

GitHub: 1,921 stars · 212 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /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
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 neuron-core/neuron-ai, 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
    Add a disclaimer clarifying no relation to AWS Neuron

    Why:

    COPY-PASTE FIX
    Note: Neuron AI is an independent PHP framework for building AI agents and is not affiliated with or related to AWS Neuron.
  • highreadme#2
    Add a 'Why Neuron AI?' section to differentiate from libraries

    Why:

    COPY-PASTE FIX
    ## Why Neuron AI?
    
    Unlike simple LLM clients or general-purpose PHP libraries, Neuron AI provides a comprehensive framework for the entire agentic application development lifecycle. This includes robust tools for multi-agent orchestration, data loading, memory management, and debugging, enabling you to build complex, production-ready AI applications in PHP.
  • mediumabout#3
    Emphasize 'orchestration' in the repository description

    Why:

    CURRENT
    The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data.
    COPY-PASTE FIX
    Neuron AI is the PHP Agentic Framework for building production-ready AI applications. It enables the orchestration of LLMs, vector databases, and memory, connecting these components to agents that interact with your data.

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 neuron-core/neuron-ai
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai-php/client
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. openai-php/client · recommended 2×
  2. guzzlehttp/guzzle · recommended 1×
  3. LangChain.php · recommended 1×
  4. google/cloud · recommended 1×
  5. PHP-ML · recommended 1×
  • CATEGORY QUERY
    How to build AI agents and integrate LLMs in a PHP application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI PHP Client (openai-php/client)
    2. Guzzle HTTP Client (guzzlehttp/guzzle)
    3. LangChain.php
    4. Google Cloud Client Library for PHP (google/cloud)
    5. PHP-ML
    6. Symfony HttpClient
    7. Laravel HTTP Client

    AI recommended 7 alternatives but never named neuron-core/neuron-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What PHP framework helps orchestrate LLMs, vector databases, and memory for AI applications?
    you: not recommended
    AI recommended (in order):
    1. Laravel
    2. llm-php/laravel-llm (llm-php/laravel-llm)
    3. openai-php/laravel (openai-php/laravel)
    4. OpenAI
    5. Anthropic
    6. Google Gemini
    7. Eloquent
    8. pinecone-php/pinecone-client (pinecone-php/pinecone-client)
    9. weaviate/weaviate-php-client (weaviate/weaviate-php-client)
    10. qdrant/qdrant-php-client (qdrant/qdrant-php-client)
    11. Redis
    12. Memcached
    13. Symfony
    14. php-llm/llm (php-llm/llm)
    15. openai-php/client (openai-php/client)
    16. Doctrine ORM
    17. LlamaIndex.php
    18. RoadRunner
    19. Slim
    20. Laminas Mezzio
    21. google/cloud-ai-platform (google/cloud-ai-platform)
    22. milvus/milvus-php-client (milvus/milvus-php-client)
    23. symfony/cache (symfony/cache)
    24. doctrine/cache (doctrine/cache)
    25. amphp/amp (amphp/amp)
    26. react/react (react/react)

    AI recommended 26 alternatives but never named neuron-core/neuron-ai. 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 neuron-core/neuron-ai?
    pass
    AI named neuron-core/neuron-ai explicitly

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

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

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

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neuron-core/neuron-ai — 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