RRepoGEO

REPOGEO REPORT · LITE

BlockRunAI/ClawRouter

Default branch main · commit 048eda12 · scanned 6/18/2026, 3:36:45 AM

GitHub: 6,572 stars · 606 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
28 /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
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 BlockRunAI/ClawRouter, 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 opening statement to highlight agent-native features

    Why:

    CURRENT
    > **ClawRouter** is an open-source smart LLM router that reduces AI API costs by up to 92%. It analyzes each request across 15 dimensions and routes to the cheapest capable model in under 1ms, entirely locally. ClawRouter is the only LLM router built for autonomous AI agents — it uses wallet signatures for authentication (no API keys) and USDC micropayments via the x402 protocol (no credit cards). 55+ models from OpenAI, Anthropic, Google, xAI, DeepSeek, and more. MIT licensed.
    COPY-PASTE FIX
    > **ClawRouter** is the only agent-native LLM router, purpose-built for autonomous AI agents with wallet-based authentication and USDC micropayments via x402. It also reduces AI API costs by up to 92% by analyzing each request across 15 dimensions and routing to the cheapest capable model in under 1ms, entirely locally. 55+ models from OpenAI, Anthropic, Google, xAI, DeepSeek, and more. MIT licensed.
  • highabout#2
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://openclaw.ai
  • mediumreadme#3
    Emphasize dynamic routing for cost reduction in README

    Why:

    CURRENT
    It analyzes each request across 15 dimensions and routes to the cheapest capable model in under 1ms, entirely locally.
    COPY-PASTE FIX
    It dynamically routes requests across 55+ models based on real-time cost and capability, ensuring you always use the cheapest capable model by analyzing each request across 15 dimensions and routing to the cheapest capable model in under 1ms, entirely locally.

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 BlockRunAI/ClawRouter
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LiteLLM · recommended 2×
  3. OpenAI API · recommended 1×
  4. Azure API Management (APIM) · recommended 1×
  5. AWS API Gateway · recommended 1×
  • CATEGORY QUERY
    What LLM routing solutions support agent-native authentication and decentralized payments?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. LiteLLM
    4. Azure API Management (APIM)
    5. AWS API Gateway

    AI recommended 5 alternatives but never named BlockRunAI/ClawRouter. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to reduce LLM API costs by dynamically routing requests to the cheapest available model?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. OpenRouter.ai
    3. Portkey.ai
    4. LangChain
    5. Azure AI Studio / OpenAI Azure Deployment
    6. Vellum

    AI recommended 6 alternatives but never named BlockRunAI/ClawRouter. 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 BlockRunAI/ClawRouter?
    pass
    AI named BlockRunAI/ClawRouter explicitly

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

  • If a team adopts BlockRunAI/ClawRouter in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name BlockRunAI/ClawRouter — 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?

  • In one sentence, what problem does the repo BlockRunAI/ClawRouter solve, and who is the primary audience?
    pass
    AI named BlockRunAI/ClawRouter explicitly

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

Embed your GEO score

Drop this badge into the README of BlockRunAI/ClawRouter. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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BlockRunAI/ClawRouter — RepoGEO report