RRepoGEO

REPOGEO REPORT · LITE

ax-llm/ax

Default branch main · commit 05a9a265 · scanned 6/28/2026, 6:56:54 AM

GitHub: 2,796 stars · 178 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
33 /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
2 / 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 ax-llm/ax, 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
  • highabout#1
    Update repository description for clarity and scope

    Why:

    CURRENT
    The pretty much "official" DSPy framework for Typescript
    COPY-PASTE FIX
    Ax is a multi-language DSPy-inspired framework for building LLM applications, offering a consistent programming model across TypeScript, Python, Java, C++, Go, and Rust.
  • mediumreadme#2
    Refine the README's opening statement

    Why:

    CURRENT
    One programming model for building with LLMs across TypeScript, Python, Java, C++, Go, and Rust.
    COPY-PASTE FIX
    Ax provides a unified, DSPy-inspired programming model for building robust LLM applications, enabling consistent development across TypeScript, Python, Java, C++, Go, and Rust.
  • lowtopics#3
    Add LLM framework and orchestration topics

    Why:

    CURRENT
    ai, anthropic, claude, cohere, dspy, gemini, google, google-gemini, gpt-4, javascript, large-language-models, llm, nodejs, ollama, openai, opensource, rag, typescript, vectordb, webllm
    COPY-PASTE FIX
    ai, anthropic, claude, cohere, dspy, gemini, google, google-gemini, gpt-4, javascript, large-language-models, llm, llm-framework, llm-orchestration, nodejs, ollama, openai, opensource, rag, typescript, vectordb, webllm

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 ax-llm/ax
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Google Cloud Vertex AI · recommended 1×
  • CATEGORY QUERY
    How to build LLM applications with a consistent programming model across multiple languages?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. LlamaIndex
    4. Hugging Face Transformers
    5. Google Cloud Vertex AI
    6. Azure OpenAI Service
    7. Cohere API

    AI recommended 7 alternatives but never named ax-llm/ax. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework provides programmatic LLM orchestration and structured output generation for TypeScript?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. LlamaIndex.TS
    3. TypeChat
    4. OpenAI SDK
    5. Zod
    6. Instructor

    AI recommended 6 alternatives but never named ax-llm/ax. 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 ax-llm/ax?
    pass
    AI did not name ax-llm/ax — likely talking about a different project

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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