RRepoGEO

REPOGEO REPORT · LITE

superagent-ai/superagent

Default branch main · commit 5adc62db · scanned 5/17/2026, 3:56:53 AM

GitHub: 6,601 stars · 962 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 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
    Reposition the README H1 to specify AI safety guardrails

    Why:

    CURRENT
    <h1 align="center">Superagent SDK</h1>
    COPY-PASTE FIX
    <h1 align="center">Superagent: AI Safety Guardrails SDK</h1>
  • mediumtopics#2
    Add more specific AI safety and data protection topics

    Why:

    CURRENT
    ai, anthropic, guardrails, llm, openai, prompt-injection, security
    COPY-PASTE FIX
    ai, anthropic, content-safety, data-leak-prevention, guardrails, llm, openai, pii-redaction, prompt-injection, security
  • lowcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section titled "Comparison to Alternatives" or "Why Superagent?" that outlines how Superagent differs from other AI safety and guardrail solutions like NeMo Guardrails, Lakera Guard, and OpenAI Moderation API, focusing on its open-source nature and specific features.

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
OpenAI Moderation API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Moderation API · recommended 2×
  2. NVIDIA/NeMo-Guardrails · recommended 1×
  3. Microsoft Azure AI Content Safety · recommended 1×
  4. Lakera Guard · recommended 1×
  5. protectai/rebuff · recommended 1×
  • CATEGORY QUERY
    How to protect my LLM applications from prompt injection attacks and sensitive data leaks?
    you: not recommended
    AI recommended (in order):
    1. NeMo Guardrails (NVIDIA/NeMo-Guardrails)
    2. Microsoft Azure AI Content Safety
    3. Lakera Guard
    4. OpenAI Moderation API
    5. Rebuff (protectai/rebuff)
    6. Presidio (microsoft/presidio)
    7. Faker
    8. LangChain (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 the best open-source guardrail solutions for securing AI agent deployments?
    you: not recommended
    AI recommended (in order):
    1. NeMo Guardrails
    2. Guardrails AI
    3. LangChain
    4. OpenAI Moderation API
    5. Llama Guard
    6. Presidio

    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 did not name superagent-ai/superagent — 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?

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superagent-ai/superagent — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite