RRepoGEO

REPOGEO REPORT · LITE

aurelio-labs/semantic-router

Default branch main · commit 371cbf73 · scanned 5/10/2026, 7:21:55 AM

GitHub: 3,497 stars · 327 forks

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 aurelio-labs/semantic-router, 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 intro to explicitly link multi-modal to routing

    Why:

    CURRENT
    Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow LLM generations to make tool-use decisions, we use the magic of semantic vector space to make those decisions — _routing_ our requests using _semantic_ meaning.
    COPY-PASTE FIX
    Semantic Router is a superfast decision-making layer for your LLMs and agents, intelligently routing both text and multi-modal data requests. Rather than waiting for slow LLM generations to make tool-use decisions, we use the magic of semantic vector space to make those decisions — _routing_ our requests using _semantic_ meaning.
  • mediumtopics#2
    Add more specific topics to improve category matching

    Why:

    CURRENT
    ai, artificial-intelligence, chatbot, computer-vision, generative-ai, machine-learning, nlp
    COPY-PASTE FIX
    ai, artificial-intelligence, chatbot, computer-vision, generative-ai, machine-learning, nlp, llm-routing, agent-frameworks, semantic-search, embeddings, decision-making
  • lowreadme#3
    Add a 'Comparison to Alternatives' section in README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Semantic Router differentiates itself from frameworks like LangChain and LlamaIndex by focusing purely on superfast, semantic vector-space based routing decisions, rather than relying on slower LLM function calling or complex prompt engineering for routing. This allows for optimized cost, performance, and safety specifically for the routing layer of LLM-powered applications and agents.

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 aurelio-labs/semantic-router
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI Embeddings API · recommended 1×
  5. Cohere Embed · recommended 1×
  • CATEGORY QUERY
    How can I accelerate LLM agent decision-making using semantic routing techniques?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Embeddings API
    5. Cohere Embed
    6. Google Cloud Vertex AI Embeddings
    7. Pinecone
    8. Weaviate
    9. Qdrant
    10. Faiss
    11. Python
    12. PyTorch
    13. TensorFlow
    14. Sentence Transformers
    15. scikit-learn

    AI recommended 15 alternatives but never named aurelio-labs/semantic-router. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient methods for routing multi-modal data requests in AI applications?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. Istio
    3. Envoy Proxy
    4. NVIDIA Triton Inference Server
    5. AWS Lambda
    6. API Gateway
    7. Azure Functions
    8. API Management
    9. Google Cloud Functions
    10. Cloud Endpoints
    11. NGINX Plus
    12. OpenResty
    13. FastAPI
    14. Flask
    15. Apache Kafka
    16. RabbitMQ

    AI recommended 16 alternatives but never named aurelio-labs/semantic-router. 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 aurelio-labs/semantic-router?
    pass
    AI named aurelio-labs/semantic-router explicitly

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

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