RRepoGEO

REPOGEO REPORT · LITE

aurelio-labs/semantic-router

Default branch main · commit df9722ad · scanned 6/20/2026, 5:46:39 AM

GitHub: 3,624 stars · 338 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
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 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 the README's opening statement to highlight unique value

    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, embedding-based decision-making layer for your LLMs and agents. It enables deterministic, pre-LLM semantic routing, offering a lightweight and efficient alternative to slow LLM generations for tool-use decisions and function calling by leveraging semantic vector space.
  • hightopics#2
    Add specific topics for LLM routing and agent orchestration

    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-orchestration, tool-use, function-calling, semantic-search, decision-making, llm-agents
  • mediumreadme#3
    Add a dedicated comparison section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'Semantic Router vs. LLM Function Calling', with content explaining: 'Unlike LLM native function calling (e.g., OpenAI's `tools`), Semantic Router provides deterministic, pre-LLM semantic routing, making tool-use decisions faster and more cost-effective by leveraging embeddings rather than full LLM generations.'

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-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. OpenAI Functions · recommended 1×
  4. deepset-ai/haystack · recommended 1×
  5. explosion/spaCy · recommended 1×
  • CATEGORY QUERY
    How to quickly route user queries to the correct LLM agent or tool?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. OpenAI Functions
    4. Haystack (deepset-ai/haystack)
    5. spaCy (explosion/spaCy)
    6. NLTK (nltk/nltk)
    7. Rasa (RasaHQ/rasa)
    8. Microsoft Semantic Kernel (microsoft/semantic-kernel)

    AI recommended 8 alternatives but never named aurelio-labs/semantic-router. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a library to accelerate LLM tool-use decision making with semantic understanding.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Marvin
    5. OpenAI Functions/Tools API
    6. AutoGPT
    7. BabyAGI

    AI recommended 7 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 did not name aurelio-labs/semantic-router — 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?

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aurelio-labs/semantic-router — 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