RRepoGEO

REPOGEO REPORT · LITE

ENTERPILOT/GoModel

Default branch main · commit ee3ee6d3 · scanned 6/7/2026, 12:21:26 PM

GitHub: 923 stars · 62 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 ENTERPILOT/GoModel, 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
    Clarify GoModel's core purpose in the README's opening paragraph

    Why:

    CURRENT
    A fast and lightweight AI gateway written in Go, providing a unified OpenAI-compatible API for OpenAI, Anthropic, Gemini, DeepSeek, xAI, Groq, OpenRouter, Z.ai, Azure OpenAI, Oracle, Ollama, and more.
    COPY-PASTE FIX
    GoModel is a fast, lightweight **AI gateway** written in Go, providing a unified OpenAI-compatible API for all major LLM providers (OpenAI, Anthropic, Gemini, Groq, xAI, Ollama, and more). It is specifically designed for robust LLM API routing, observability, guardrails, streaming, and cost tracking, **not** for database ORM or ONNX model inference.
  • mediumcomparison#2
    Add a dedicated 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add the following section to your README:

```markdown
## Comparison with Alternatives

GoModel provides a robust, Go-native AI gateway, offering a compelling alternative to solutions like LiteLLM. While LiteLLM is a popular Python-based proxy, GoModel differentiates itself with:

*   **Go-native Performance:** Optimized for speed and efficiency in Go environments.
*   **Simplified Deployment:** A single compiled binary for easy setup and scaling.
*   **Integrated Observability & Guardrails:** Comprehensive tools built-in for production readiness.

Choose GoModel for a lightweight, high-performance, and operationally-focused LLM gateway in your Go ecosystem.
```
  • lowtopics#3
    Expand topics with more specific LLM operations and proxy keywords

    Why:

    CURRENT
    ai, ai-gateway, ai-proxy, anthropic, go, golang, groq, litellm-alternative, llm, llm-gateway, observability, ollama, openai, openai-compatible, openai-compatible-api, openai-compatible-proxy-server, proxy
    COPY-PASTE FIX
    ai, ai-gateway, ai-proxy, anthropic, go, golang, groq, litellm-alternative, llm, llm-gateway, llm-ops, genai-ops, llm-proxy, observability, ollama, openai, openai-compatible, openai-compatible-api, openai-compatible-proxy-server, proxy

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 ENTERPILOT/GoModel
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LiteLLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LiteLLM · recommended 2×
  2. go-openai-proxy · recommended 1×
  3. net/http · recommended 1×
  4. encoding/json · recommended 1×
  5. pip · recommended 1×
  • CATEGORY QUERY
    How to unify multiple LLM provider APIs with an OpenAI-compatible gateway in Go?
    you: not recommended
    AI recommended (in order):
    1. go-openai-proxy
    2. net/http
    3. encoding/json
    4. LiteLLM
    5. pip
    6. Docker
    7. sashabaranov/go-openai (sashabaranov/go-openai)
    8. Mify
    9. gorilla/mux
    10. go-chi/chi
    11. Caddy
    12. HashiCorp Vault
    13. Prometheus
    14. OpenTelemetry

    AI recommended 14 alternatives but never named ENTERPILOT/GoModel. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a lightweight AI proxy with observability and cost tracking for various LLMs.
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. OpenRouter.ai
    3. Portkey.ai
    4. Helicone.ai
    5. LangChain
    6. FastAPI
    7. Flask

    AI recommended 7 alternatives but never named ENTERPILOT/GoModel. 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 ENTERPILOT/GoModel?
    pass
    AI named ENTERPILOT/GoModel explicitly

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

  • If a team adopts ENTERPILOT/GoModel in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ENTERPILOT/GoModel 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 ENTERPILOT/GoModel solve, and who is the primary audience?
    pass
    AI named ENTERPILOT/GoModel 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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ENTERPILOT/GoModel — 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