RRepoGEO

REPOGEO REPORT · LITE

ServiceNow/AgentLab

Default branch main · commit cbc35a9b · scanned 5/29/2026, 5:52:17 PM

GitHub: 586 stars · 115 forks

AI VISIBILITY SCORE
35 /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
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 ServiceNow/AgentLab, 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 highlight web agent focus

    Why:

    CURRENT
    AgentLab is a framework for developing and evaluating agents on a variety of [benchmarks](#-supported-benchmarks) supported by BrowserGym.
    COPY-PASTE FIX
    AgentLab is an open-source framework purpose-built for developing, testing, and benchmarking **web agents** with a strong focus on **scalability and reproducibility**. It provides a unified environment for running large-scale parallel experiments, building agents over BrowserGym, and evaluating performance on benchmarks like WebArena.
  • mediumabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a documentation site, project page, or main organization page) to the 'Homepage' field in the repository's 'About' section.
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a section or sentence to the README, ideally near the top, explicitly stating the license(s) under which AgentLab is distributed, e.g., 'AgentLab is licensed under [License Name(s)]. See the LICENSE file for details.'

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 ServiceNow/AgentLab
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. LlamaIndex · recommended 1×
  3. Playwright · recommended 1×
  4. Selenium · recommended 1×
  5. AgentBench · recommended 1×
  • CATEGORY QUERY
    How can I develop and benchmark large language model web agents effectively?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Playwright
    4. Selenium
    5. AgentBench
    6. AutoGPT Benchmarks
    7. BabyAGI Benchmarks
    8. Weights & Biases (W&B)
    9. MLflow

    AI recommended 9 alternatives but never named ServiceNow/AgentLab. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source framework to evaluate AI agent performance on web tasks reproducibly.
    you: not recommended
    AI recommended (in order):
    1. Playwright Test (microsoft/playwright)
    2. Selenium WebDriver (SeleniumHQ/selenium)
    3. Pytest (pytest-dev/pytest)
    4. JUnit (junit-team/junit5)
    5. Puppeteer (puppeteer/puppeteer)
    6. Jest (facebook/jest)
    7. AutoGPT (Significant-Gravitas/AutoGPT)
    8. LangChain (langchain-ai/langchain)
    9. PlaywrightBrowser
    10. SeleniumWrapper

    AI recommended 10 alternatives but never named ServiceNow/AgentLab. 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 ServiceNow/AgentLab?
    pass
    AI named ServiceNow/AgentLab explicitly

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

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

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

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ServiceNow/AgentLab — 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