RRepoGEO

REPOGEO REPORT · LITE

Ironclad/rivet

Default branch main · commit 10d20d8e · scanned 5/12/2026, 4:32:14 AM

GitHub: 4,572 stars · 374 forks

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 Ironclad/rivet, 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
    Add a descriptive H1 that clearly states Rivet's core purpose and category

    Why:

    CURRENT
    <h1 align="center"></h1>
    COPY-PASTE FIX
    <h1 align="center">Rivet: The Open-Source Visual AI Programming Environment for Complex Agents</h1>
  • mediumtopics#2
    Expand repository topics to include visual programming and agent orchestration keywords

    Why:

    CURRENT
    ai, llm, openai, typescript
    COPY-PASTE FIX
    ai, llm, openai, typescript, visual-programming, agent-orchestration, prompt-engineering, workflow-automation
  • mediumreadme#3
    Add a "Comparison to Alternatives" section in the README

    Why:

    COPY-PASTE FIX
    Add a new top-level section to the README, such as "## Comparison to Alternatives," that highlights Rivet's unique strengths compared to both visual tools (e.g., LangFlow, FlowiseAI) and code-centric libraries (e.g., LangChain, LlamaIndex).

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 Ironclad/rivet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangFlow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangFlow · recommended 1×
  2. FlowiseAI · recommended 1×
  3. Node-RED · recommended 1×
  4. KNIME Analytics Platform · recommended 1×
  5. Apache NiFi · recommended 1×
  • CATEGORY QUERY
    What open-source visual programming environments exist for building and chaining complex AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangFlow
    2. FlowiseAI
    3. Node-RED
    4. KNIME Analytics Platform
    5. Apache NiFi

    AI recommended 5 alternatives but never named Ironclad/rivet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which TypeScript libraries help embed sophisticated AI agent workflows directly into applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js (langchain-ai/langchainjs)
    2. LlamaIndex.TS (run-llama/LlamaIndexTS)
    3. Agent Protocol (TypeScript SDK) (AgentProtocol/agent-protocol-sdk-ts)
    4. OpenAI SDK (openai/openai-node)
    5. Autogen (microsoft/autogen)
    6. Promptfoo (promptfoo/promptfoo)

    AI recommended 6 alternatives but never named Ironclad/rivet. 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 Ironclad/rivet?
    pass
    AI named Ironclad/rivet explicitly

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

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

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

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Ironclad/rivet — 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