RRepoGEO

REPOGEO REPORT · LITE

lm-sys/RouteLLM

Default branch main · commit 0b64fdaf · scanned 5/15/2026, 9:08:06 AM

GitHub: 4,889 stars · 377 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 lm-sys/RouteLLM, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumreadme#1
    Refine README H1 for immediate benefit clarity

    Why:

    CURRENT
    # RouteLLM
    COPY-PASTE FIX
    # RouteLLM: A Framework for Cost-Saving LLM Routing
  • mediumcomparison#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

RouteLLM stands out from general LLM proxies and orchestration tools by focusing on intelligent, cost-optimized routing using a specialized LLM router. Unlike simple rule-based systems or unified APIs like LiteLLM and OpenRouter, RouteLLM employs a small LLM to dynamically select the best model for each query, achieving up to 85% cost reduction while maintaining 95% GPT-4 performance. This specialized approach offers a distinct advantage over broader frameworks like LangChain for dedicated LLM routing needs.

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 lm-sys/RouteLLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BerriAI/litellm
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BerriAI/litellm · recommended 2×
  2. langchain-ai/langchain · recommended 2×
  3. OpenRouter · recommended 1×
  4. guardrails-ai/guardrails · recommended 1×
  5. OpenRouter.ai · recommended 1×
  • CATEGORY QUERY
    How to reduce LLM API costs by routing requests to cheaper models intelligently?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM (BerriAI/litellm)
    2. OpenRouter
    3. LangChain (langchain-ai/langchain)
    4. Guardrails AI (guardrails-ai/guardrails)

    AI recommended 4 alternatives but never named lm-sys/RouteLLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for dynamically routing LLM requests to optimize cost and performance?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM (BerriAI/litellm)
    2. OpenRouter.ai
    3. LangChain (langchain-ai/langchain)
    4. Guidance (microsoft/guidance)
    5. Vellum
    6. Portkey.ai

    AI recommended 6 alternatives but never named lm-sys/RouteLLM. 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 lm-sys/RouteLLM?
    pass
    AI named lm-sys/RouteLLM explicitly

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

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

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

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lm-sys/RouteLLM — 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