RRepoGEO

REPOGEO REPORT · LITE

Lingtai-AI/lingtai

Default branch main · commit 64b78560 · scanned 6/26/2026, 12:01:52 PM

GitHub: 531 stars · 48 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 Lingtai-AI/lingtai, 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 specific topics for AI agent systems

    Why:

    COPY-PASTE FIX
    ai-agents, multi-agent-system, agent-framework, agent-orchestration, local-first, durable-memory, inter-agent-communication, lifecycle-management, ai-organization
  • highabout#2
    Update the repository description for clarity

    Why:

    CURRENT
    LingTai AI
    COPY-PASTE FIX
    A local-first framework for building and orchestrating resilient, long-running multi-agent AI organizations with durable memory and inter-agent communication.
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://lingtai.ai

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 Lingtai-AI/lingtai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. Pinecone · recommended 1×
  3. weaviate/weaviate · recommended 1×
  4. chromadb/chroma · recommended 1×
  5. rabbitmq/rabbitmq-server · recommended 1×
  • CATEGORY QUERY
    How to create a resilient, long-running multi-agent AI system with durable memory and communication?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. Pinecone
    3. Weaviate (weaviate/weaviate)
    4. ChromaDB (chromadb/chroma)
    5. RabbitMQ (rabbitmq/rabbitmq-server)
    6. Apache Kafka (apache/kafka)
    7. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    8. Azure Cosmos DB
    9. Azure Service Bus
    10. Haystack (deepset-ai/haystack)
    11. Elasticsearch (elastic/elasticsearch)
    12. OpenSearch (opensearch-project/OpenSearch)
    13. Redis Streams (redis/redis)
    14. AutoGen (microsoft/autogen)
    15. PostgreSQL (postgres/postgres)
    16. pgvector (pgvector/pgvector)
    17. ZeroMQ (zeromq/libzmq)
    18. gRPC (grpc/grpc)
    19. CrewAI (joaomdmoura/crewai)
    20. Neo4j (neo4j/neo4j)
    21. NATS (nats-io/nats-server)

    AI recommended 21 alternatives but never named Lingtai-AI/lingtai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps manage an entire AI agent organization with lifecycle and inter-agent communication?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. OpenAI Assistants API
    5. SPADE
    6. JADE

    AI recommended 6 alternatives but never named Lingtai-AI/lingtai. 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 Lingtai-AI/lingtai?
    pass
    AI named Lingtai-AI/lingtai explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite