RRepoGEO

REPOGEO REPORT · LITE

Merit-Systems/echo

Default branch master · commit eacef7aa · scanned 6/16/2026, 2:08:14 AM

GitHub: 541 stars · 89 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 Merit-Systems/echo, 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 opening to explicitly state "AI SDK for user-pays LLM billing"

    Why:

    CURRENT
    User-pays AI infrastructure. Drop in Echo, users pay for their own usage—you never front costs.
    COPY-PASTE FIX
    Echo is an AI SDK that enables user-pays billing for LLM API costs, allowing your users to pay for their own usage directly. Drop in Echo, and you never front API costs.
  • mediumtopics#2
    Add more specific topics related to user-pays AI billing and cost management

    Why:

    CURRENT
    anthropic, billing, gemini, llm, openai, react, typescript, vercel
    COPY-PASTE FIX
    anthropic, billing, gemini, llm, openai, react, typescript, vercel, user-pays, ai-billing, cost-management, api-billing, llm-billing
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
Echo is licensed under the Apache-2.0 License. See the `LICENSE` file for full details.

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 Merit-Systems/echo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Stripe Billing · recommended 1×
  3. Anthropic Claude · recommended 1×
  4. Google Gemini · recommended 1×
  5. Node.js with Express · recommended 1×
  • CATEGORY QUERY
    How can I implement user-pays billing for LLM API costs in my application?
    you: not recommended
    AI recommended (in order):
    1. Stripe Billing
    2. OpenAI API
    3. Anthropic Claude
    4. Google Gemini
    5. Node.js with Express
    6. Python with Django/Flask
    7. Ruby on Rails
    8. Paddle Billing
    9. Lemon Squeezy
    10. Lago
    11. Chargebee
    12. Stripe Payments
    13. Braintree
    14. PayPal

    AI recommended 14 alternatives but never named Merit-Systems/echo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools to avoid fronting API costs when building AI applications with user access?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud AI Platform
    3. AWS AI Services
    4. Hugging Face Inference API
    5. Replicate
    6. vLLM
    7. TGI (Text Generation Inference)
    8. TensorRT-LLM
    9. AWS EC2
    10. Google Cloud Compute Engine
    11. Azure Virtual Machines
    12. Cloudflare AI Gateway
    13. Stripe
    14. Paddle

    AI recommended 14 alternatives but never named Merit-Systems/echo. 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 Merit-Systems/echo?
    pass
    AI named Merit-Systems/echo explicitly

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

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

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

Embed your GEO score

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Merit-Systems/echo — 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