RRepoGEO

REPOGEO REPORT · LITE

superagent-ai/superagent

Default branch main · commit 5adc62db · scanned 6/28/2026, 5:16:55 AM

GitHub: 6,654 stars · 961 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 superagent-ai/superagent, 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
    Strengthen README's opening statement to explicitly position as an AI safety guardrail solution

    Why:

    CURRENT
    An open-source SDK for AI agent safety. Block prompt injections, redact PII and secrets, scan repositories for threats, and run red team scenarios against your agent.
    COPY-PASTE FIX
    Superagent is an open-source SDK providing robust AI safety guardrails for your applications. It protects against prompt injections, redacts sensitive data (PII/PHI/secrets), and helps ensure compliance by blocking harmful outputs and malicious instructions.
  • mediumreadme#2
    Add a 'Why Superagent?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Superagent? 

[Explain Superagent's unique advantages and how it compares to other AI safety and guardrail solutions like Guardrails AI, NeMo Guardrails, Lakera Guard, or OpenAI Moderation API, focusing on its SDK approach for agent safety.]
  • lowfaq#3
    Add an FAQ section to clarify Superagent's purpose

    Why:

    COPY-PASTE FIX
    ## FAQ 

### Is Superagent an AI agent building framework like LangChain or LlamaIndex?
No, Superagent is specifically designed to provide safety guardrails and security for your existing AI applications and agents, protecting them from prompt injections, data leaks, and harmful outputs. It complements agent frameworks by adding a crucial layer of security.

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 superagent-ai/superagent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
guardrails-ai/guardrails
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. guardrails-ai/guardrails · recommended 2×
  2. NVIDIA/NeMo-Guardrails · recommended 2×
  3. OpenAI Moderation API · recommended 2×
  4. Lakera Guard · recommended 1×
  5. Microsoft Azure AI Content Safety · recommended 1×
  • CATEGORY QUERY
    How to protect my LLM application from prompt injection attacks and sensitive data leaks?
    you: not recommended
    AI recommended (in order):
    1. Guardrails AI (guardrails-ai/guardrails)
    2. NeMo Guardrails (NVIDIA/NeMo-Guardrails)
    3. Lakera Guard
    4. Microsoft Azure AI Content Safety
    5. OpenAI Moderation API
    6. Intel SGX
    7. AMD SEV
    8. LangChain Expression Language (LCEL) (langchain-ai/langchain)

    AI recommended 8 alternatives but never named superagent-ai/superagent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are robust guardrail solutions for integrating AI safety and compliance into applications?
    you: not recommended
    AI recommended (in order):
    1. NeMo Guardrails (NVIDIA/NeMo-Guardrails)
    2. Azure AI Content Safety
    3. OpenAI Moderation API
    4. Guardrails AI (guardrails-ai/guardrails)
    5. Amazon Comprehend
    6. Fiddler AI

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

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

  • If a team adopts superagent-ai/superagent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named superagent-ai/superagent 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 superagent-ai/superagent solve, and who is the primary audience?
    pass
    AI named superagent-ai/superagent 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
  • Prioritized action items8 vs 3 in Lite