RRepoGEO

REPOGEO REPORT · LITE

ace-agent/ace

Default branch main · commit 4f679bef · scanned 5/11/2026, 2:37:51 AM

GitHub: 1,058 stars · 141 forks

AI VISIBILITY SCORE
28 /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
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 ace-agent/ace, 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
  • hightopics#1
    Add specific topics for better categorization

    Why:

    COPY-PASTE FIX
    llm-agents, agentic-ai, context-engineering, self-improving-llms, language-models, ai-framework, generative-ai, llm-orchestration
  • highabout#2
    Refine the 'About' description for clearer positioning

    Why:

    CURRENT
    Evolve your language agent with Agentic Context Engineering (ACE)
    COPY-PASTE FIX
    ACE is a framework for Agentic Context Engineering, enabling LLMs to self-improve by evolving contexts to avoid brevity bias and context collapse. Build robust, self-correcting language agents.
  • mediumhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    https://deepwiki.com/ace-agent/ace

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 ace-agent/ace
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. OpenAI GPT-4 · recommended 1×
  3. GPT-3.5 Turbo · recommended 1×
  4. OpenAI's fine-tuning API · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How can I build a language agent that continuously self-improves its decision-making?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI GPT-4
    3. GPT-3.5 Turbo
    4. OpenAI's fine-tuning API
    5. LlamaIndex
    6. Llama 3
    7. sentence-transformers/all-MiniLM-L6-v2
    8. AutoGPT
    9. BabyAGI
    10. TRL (Transformer Reinforcement Learning)
    11. DeepSpeed-Chat
    12. Mistral
    13. Falcon
    14. ChatGPT
    15. DSPy
    16. Guidance
    17. Weights & Biases (W&B)
    18. MLflow

    AI recommended 18 alternatives but never named ace-agent/ace. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to manage and evolve LLM agent context to avoid context collapse.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGen (microsoft/autogen)
    5. DSPy (stanfordnlp/dspy)
    6. MemGPT (cpacker/MemGPT)

    AI recommended 6 alternatives but never named ace-agent/ace. 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 ace-agent/ace?
    pass
    AI did not name ace-agent/ace — 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 ace-agent/ace in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ace-agent/ace 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 ace-agent/ace solve, and who is the primary audience?
    pass
    AI named ace-agent/ace explicitly

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

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ace-agent/ace — 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