RRepoGEO

REPOGEO REPORT · LITE

Helicone/ai-gateway

Default branch main · commit 9649b27b · scanned 6/4/2026, 6:33:10 AM

GitHub: 594 stars · 56 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 Helicone/ai-gateway, 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
    Add explicit feature list to README's introductory section

    Why:

    CURRENT
    The README excerpt's initial descriptive text (after the main tagline and links) focuses on '1 API. 100+ models.' and 'The NGINX of LLMs.'
    COPY-PASTE FIX
    Insert the following text immediately after 'The NGINX of LLMs.':
    
    It acts as a central hub for all your LLM API requests, offering:
    -   **Unified API:** Access 100+ LLM providers (OpenAI, Anthropic, Google, AWS Bedrock, and more) with a single, familiar OpenAI-like interface.
    -   **Performance Optimization:** Implement intelligent caching, load balancing, and smart routing to ensure the fastest, cheapest, and most reliable responses.
    -   **Cost & Usage Control:** Apply rate limiting and detailed observability to manage costs and monitor all your AI interactions.
  • mediumreadme#2
    Introduce a 'Comparison with Alternatives' section in README

    Why:

    CURRENT
    The README excerpt does not contain a dedicated section for comparing Helicone/ai-gateway to alternatives.
    COPY-PASTE FIX
    Add a new top-level section to the README, for example:
    
    ## 🆚 Helicone AI Gateway vs. Alternatives
    
    Helicone AI Gateway stands out as a dedicated, open-source infrastructure layer for managing LLM API requests. Unlike general-purpose LLM frameworks (e.g., LangChain, LlamaIndex) or basic unified API clients (e.g., LiteLLM), Helicone provides advanced features like intelligent caching, dynamic rate limiting, smart load balancing, and deep observability, acting as the "NGINX of LLMs" to optimize performance, cost, and reliability across all your AI providers.
  • lowtopics#3
    Expand GitHub topics with more specific keywords

    Why:

    CURRENT
    ai, cache, gateway, llm, llms, load-balancing, observability, rate-limiting
    COPY-PASTE FIX
    ai, cache, gateway, llm, llms, load-balancing, observability, rate-limiting, llm-proxy, ai-proxy, unified-api, multi-llm

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 Helicone/ai-gateway
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BerriAI/litellm
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. BerriAI/litellm · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. openai/openai-python · recommended 1×
  4. Redis · recommended 1×
  5. Nginx · recommended 1×
  • CATEGORY QUERY
    How can I manage and optimize LLM API requests with caching and rate limiting?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM (BerriAI/litellm)
    2. LangChain (langchain-ai/langchain)
    3. OpenAI Python Library (openai/openai-python)
    4. Redis
    5. Nginx
    6. Cloudflare Workers
    7. APISIX (apache/apisix)

    AI recommended 7 alternatives but never named Helicone/ai-gateway. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source solution provides a unified API for multiple large language models?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. LangChain
    3. LlamaIndex
    4. OpenLLM
    5. Instructor
    6. Haystack (deepset/haystack)

    AI recommended 6 alternatives but never named Helicone/ai-gateway. 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 Helicone/ai-gateway?
    pass
    AI named Helicone/ai-gateway explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite