RRepoGEO

REPOGEO REPORT · LITE

plurai-ai/intellagent

Default branch main · commit d0312269 · scanned 5/18/2026, 12:37:22 AM

GitHub: 1,229 stars · 155 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 plurai-ai/intellagent, 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's opening paragraph to explicitly mention LLM agents

    Why:

    CURRENT
    Simulate interactions, analyze performance, and gain actionable insights for conversational agents. Test, evaluate, and optimize your agent to ensure reliable real-world deployment. IntellAgent is an advanced multi-agent framework that transforms the evaluation and optimization of conversational agents.
    COPY-PASTE FIX
    Simulate realistic interactions, analyze performance, and gain actionable insights for **LLM-powered AI agents**. Test, evaluate, and optimize your **AI agent's reliability** for real-world deployment. IntellAgent is an advanced multi-agent framework that transforms the evaluation and optimization of **conversational AI agents**.
  • mediumtopics#2
    Add more specific topics related to LLM agent evaluation and reliability

    Why:

    CURRENT
    agent, evaluation, llmops, simulator, synthetic-data
    COPY-PASTE FIX
    agent, evaluation, llmops, simulator, synthetic-data, llm-agent-evaluation, agent-reliability, agent-optimization
  • lowreadme#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Comparison with Alternatives' or 'Why IntellAgent?' to highlight its unique value proposition against other LLM evaluation and agent frameworks.

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 plurai-ai/intellagent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Botium Box
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Botium Box · recommended 1×
  2. LoadRunner · recommended 1×
  3. apache/jmeter · recommended 1×
  4. psf/requests · recommended 1×
  5. axios/axios · recommended 1×
  • CATEGORY QUERY
    How can I effectively stress-test and evaluate my conversational AI agent's performance?
    you: not recommended
    AI recommended (in order):
    1. Botium Box
    2. LoadRunner
    3. JMeter (apache/jmeter)
    4. requests (psf/requests)
    5. axios (axios/axios)
    6. Usertesting
    7. Userlytics
    8. Rasa X (RasaHQ/rasa-x)
    9. Microsoft Bot Framework Emulator (microsoft/botframework-emulator)
    10. Bot Framework Composer (microsoft/BotFramework-Composer)

    AI recommended 10 alternatives but never named plurai-ai/intellagent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help generate synthetic user interactions to optimize LLM agent reliability?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Giskard
    4. Humanloop
    5. OpenAI Evals
    6. unittest
    7. pytest
    8. GPT-4
    9. openai library

    AI recommended 9 alternatives but never named plurai-ai/intellagent. 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 plurai-ai/intellagent?
    pass
    AI named plurai-ai/intellagent explicitly

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

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

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

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plurai-ai/intellagent — RepoGEO report