RRepoGEO

REPOGEO REPORT · LITE

maximhq/bifrost

Default branch dev · commit 96bb2bda · scanned 6/19/2026, 1:46:24 AM

GitHub: 5,894 stars · 774 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
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
    Reposition README's opening to clearly state 'AI Gateway' and its differentiators

    Why:

    CURRENT
    Bifrost is a high-performance AI gateway that unifies access to 23+ providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, and more) through a single OpenAI-compatible API. Deploy in seconds with zero configuration and get automatic failover, load balancing, semantic caching, and enterprise-grade features.
    COPY-PASTE FIX
    Bifrost is the fastest enterprise AI gateway, 50x faster than LiteLLM, unifying access to 23+ providers (OpenAI, Anthropic, AWS Bedrock, Google Vertex, and more) through a single OpenAI-compatible API. Deploy in seconds with zero configuration to get adaptive load balancing, cluster mode, guardrails, 1000+ models support, and <100 µs overhead at 5k RPS, alongside automatic failover, semantic caching, and other enterprise-grade features.
  • mediumtopics#2
    Add more specific LLM management and routing topics

    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-routing, llm-proxy, ai-proxy, model-proxy, enterprise-ai, ai-infrastructure
  • lowcomparison#3
    Add a 'Comparison with LiteLLM' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with LiteLLM
Bifrost is engineered for enterprise-grade performance, achieving speeds up to 50x faster than LiteLLM for high-throughput AI workloads. While LiteLLM offers broad model compatibility, Bifrost focuses on ultra-low latency (<100 µs overhead at 5k RPS), advanced load balancing, and robust cluster mode capabilities essential for production environments, alongside comprehensive guardrails and unified access to 1000+ models.

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
Azure AI Gateway
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure AI Gateway · recommended 1×
  2. AWS AI Gateway · recommended 1×
  3. NVIDIA NIM · recommended 1×
  4. OpenAI API Gateway · recommended 1×
  5. Azure OpenAI Service · recommended 1×
  • CATEGORY QUERY
    Need a high-performance AI gateway for enterprise applications with unified model access.
    you: not recommended
    AI recommended (in order):
    1. Azure AI Gateway
    2. AWS AI Gateway
    3. NVIDIA NIM
    4. OpenAI API Gateway
    5. Azure OpenAI Service
    6. Kong AI Gateway
    7. GCP Vertex AI Gateway

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

    Show full AI answer
  • CATEGORY QUERY
    How to manage multiple LLM providers with load balancing and failover for production?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. OpenRouter
    3. Azure API Management
    4. AWS API Gateway
    5. Nginx
    6. Envoy Proxy
    7. LangChain
    8. LlamaIndex

    AI recommended 8 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