RRepoGEO

REPOGEO REPORT · LITE

vllm-project/semantic-router

Default branch main · commit 7b936fcc · scanned 5/22/2026, 5:51:51 AM

GitHub: 4,210 stars · 682 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 vllm-project/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's primary statement to clarify core function

    Why:

    CURRENT
    <p><strong>System Level Intelligent Router for Mixture-of-Models at Cloud, Data Center and Edge</strong></p>
    COPY-PASTE FIX
    <p><strong>vLLM Semantic Router: An intelligent routing layer for LLM applications, optimizing cost, performance, and safety across diverse models.</strong></p>
  • hightopics#2
    Add specific functional topics for LLM cost optimization and security

    Why:

    CURRENT
    ai-gateway, bert-classification, fine-tuning, golang, huggingface-candle, huggingface-transformers, kubernetes, llm, llmrouter, mcp, mixture-of-models, openclaw, pii-detection, prompt-engineering, prompt-guard, rust, semantic-router, vllm
    COPY-PASTE FIX
    ai-gateway, bert-classification, fine-tuning, golang, huggingface-candle, huggingface-transformers, kubernetes, llm, llmrouter, llm-cost-optimization, llm-security, mcp, mixture-of-models, model-orchestration, openclaw, pii-detection, prompt-engineering, prompt-guard, rust, semantic-router, vllm
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives
    
    vLLM Semantic Router differentiates itself from general LLM orchestration frameworks and API gateways by focusing on signal-driven, intelligent routing for mixture-of-models. Unlike solutions that rely on rule-based logic or simple API proxies, Semantic Router uses semantic similarity via embeddings to dynamically direct requests, optimizing for cost, performance, and safety across diverse model environments (cloud, data center, edge).

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 vllm-project/semantic-router
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenRouter.ai
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenRouter.ai · recommended 1×
  2. LiteLLM · recommended 1×
  3. LangChain · recommended 1×
  4. Microsoft Azure AI Studio · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to efficiently route requests across various LLMs to optimize cost and performance?
    you: not recommended
    AI recommended (in order):
    1. OpenRouter.ai
    2. LiteLLM
    3. LangChain
    4. Microsoft Azure AI Studio
    5. OpenAI API
    6. Vellum
    7. Portkey.ai
    8. AWS API Gateway
    9. NGINX

    AI recommended 9 alternatives but never named vllm-project/semantic-router. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a solution to detect PII and guard against prompt injection in LLM applications.
    you: not recommended
    AI recommended (in order):
    1. Presidio
    2. PII Tools
    3. Lakera Guard
    4. Guardrails AI
    5. Rebuff.ai
    6. OpenAI Moderation API

    AI recommended 6 alternatives but never named vllm-project/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 vllm-project/semantic-router?
    pass
    AI named vllm-project/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 vllm-project/semantic-router in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vllm-project/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 vllm-project/semantic-router solve, and who is the primary audience?
    pass
    AI named vllm-project/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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  • Brand-free category queries5 vs 2 in Lite
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