RRepoGEO

REPOGEO REPORT · LITE

maximhq/bifrost

Default branch main · commit 6077122e · scanned 5/9/2026, 6:46:46 AM

GitHub: 4,723 stars · 564 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 maximhq/bifrost, 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 README's opening to emphasize Generative AI/LLM focus

    Why:

    CURRENT
    Bifrost is a high-performance AI gateway that unifies access to 15+ providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, and more) through a single OpenAI-compatible API.
    COPY-PASTE FIX
    Bifrost is the fastest enterprise **Generative AI gateway** that unifies access to 15+ **LLM providers** (OpenAI, Anthropic, AWS Bedrock, Google Vertex, and more) through a single OpenAI-compatible API.
  • mediumtopics#2
    Expand topics to include more specific LLM/AI gateway terms

    Why:

    CURRENT
    ai-gateway, gateway, gateway-services, generative-ai, guardrails, llm, llm-cost, llm-gateway, llm-observability, llmops, load-balancing, mcp-client, mcp-gateway, mcp-server, model-router, token-management
    COPY-PASTE FIX
    ai-gateway, gateway, gateway-services, generative-ai, guardrails, llm, llm-cost, llm-gateway, llm-observability, llmops, load-balancing, mcp-client, mcp-gateway, mcp-server, model-router, token-management, llm-proxy, ai-proxy, enterprise-ai, model-routing, api-management-for-llms
  • lowreadme#3
    Add a brief 'What Bifrost is NOT' or 'Comparison' section

    Why:

    COPY-PASTE FIX
    ## What Bifrost is NOT

Bifrost is an AI gateway, not a model serving platform like NVIDIA Triton Inference Server or KServe. It acts as an intelligent proxy *in front of* your models or LLM providers, offering features like load balancing, caching, and guardrails, rather than hosting or managing the models themselves.

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 maximhq/bifrost
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
triton-inference-server/server
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. triton-inference-server/server · recommended 1×
  2. kserve/kserve · recommended 1×
  3. mlflow/mlflow · recommended 1×
  4. openvinotoolkit/model_server · recommended 1×
  5. bentoml/bentoml · recommended 1×
  • CATEGORY QUERY
    What's the best way to unify access to many AI models with high performance?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Triton Inference Server (triton-inference-server/server)
    2. KServe (kserve/kserve)
    3. MLflow (mlflow/mlflow)
    4. OpenVINO Model Server (openvinotoolkit/model_server)
    5. BentoML (bentoml/bentoml)
    6. Seldon Core (SeldonIO/seldon-core)
    7. FastAPI (tiangolo/fastapi)

    AI recommended 7 alternatives but never named maximhq/bifrost. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement robust LLM load balancing and guardrails for enterprise applications?
    you: not recommended
    AI recommended (in order):
    1. Azure AI Content Safety
    2. Azure OpenAI Service
    3. Azure API Management
    4. AWS Bedrock
    5. AWS WAF
    6. AWS GuardDuty
    7. Amazon Comprehend
    8. API Gateway
    9. OpenAI API
    10. Microsoft Azure API Management
    11. Cloudflare Workers AI Gateway
    12. LangChain (langchain-ai/langchain)
    13. Presidio (microsoft/presidio)
    14. NGINX (nginx/nginx)
    15. Envoy (envoyproxy/envoy)
    16. Vellum
    17. LiteLLM (BerriAI/litellm)
    18. Google Cloud Content Safety API

    AI recommended 18 alternatives but never named maximhq/bifrost. 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 maximhq/bifrost?
    pass
    AI named maximhq/bifrost explicitly

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

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

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

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maximhq/bifrost — 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