RRepoGEO

REPOGEO REPORT · LITE

langwatch/better-agents

Default branch main · commit de5b7256 · scanned 5/11/2026, 11:27:24 AM

GitHub: 1,521 stars · 150 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 langwatch/better-agents, 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 emphasize production-ready LLM agent standards

    Why:

    CURRENT
    Better Agents is a CLI tool and a set of standards for agent building. It supercharges your coding assistant (Kilocode, Claude Code, Cursor, etc), making it an expert in any agent framework you choose (Agno, Mastra, LangGraph etc) and all their best practices.
    COPY-PASTE FIX
    Better Agents is a CLI tool and a set of standards for building production-ready LLM agents, providing robust tools for scenario testing, prompt evaluation, and observability across any agent framework.
  • mediumtopics#2
    Expand repository topics to include specific LLM agent development aspects

    Why:

    CURRENT
    agent-framework, agent-testing, ai-agents, cli, dev-tool, lllm, llmops, mcp, python, typescript
    COPY-PASTE FIX
    Add: llm-agent-evaluation, llm-agent-testing, llm-observability, agent-best-practices, production-ready-ai. Keep existing topics.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the official project website or documentation URL (e.g., "https://www.langwatch.ai/better-agents" or similar) to the repository's "About" section.

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 langwatch/better-agents
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LangSmith · recommended 1×
  3. LlamaIndex · recommended 1×
  4. OpenTelemetry · recommended 1×
  5. Weights & Biases (W&B) Prompts · recommended 1×
  • CATEGORY QUERY
    What tools help standardize structure and observability for LLM agent development?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. LlamaIndex
    4. OpenTelemetry
    5. Weights & Biases (W&B) Prompts
    6. Helicone
    7. LiteLLM

    AI recommended 7 alternatives but never named langwatch/better-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement scenario tests and prompt evaluations for my large language model agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Phoenix (Arize-AI/phoenix)
    4. W&B Prompts (wandb/wandb)
    5. Humanloop (humanloop/humanloop-python)
    6. DeepEval (confident-ai/deepeval)
    7. OpenAI Evals (openai/evals)

    AI recommended 7 alternatives but never named langwatch/better-agents. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 langwatch/better-agents?
    pass
    AI named langwatch/better-agents explicitly

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

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

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

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langwatch/better-agents — 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