RRepoGEO

REPOGEO REPORT · LITE

aws/nova-act

Default branch main · commit eb13ab52 · scanned 6/14/2026, 11:42:01 PM

GitHub: 909 stars · 147 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 aws/nova-act, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 and opening paragraph to clarify purpose

    Why:

    CURRENT
    # Nova Act SDK

A Python SDK for Amazon Nova Act.
    COPY-PASTE FIX
    # Nova Act SDK: Build and Deploy AI Agents for UI Automation

A Python SDK for Amazon Nova Act, an AWS service for building and deploying highly reliable AI agents that automate UI-based workflows at scale.
  • mediumreadme#2
    Add a 'Why choose Nova Act?' section to the README

    Why:

    COPY-PASTE FIX
    ### Why choose Nova Act?
While tools like Playwright and Selenium provide browser automation, Nova Act is purpose-built as an AWS service for *reliable, scalable, production-grade AI agents* that automate complex UI workflows. Unlike general agent frameworks, Nova Act focuses specifically on UI-based tasks, offering built-in human-in-the-loop (HITL) capabilities and seamless integration within the AWS ecosystem for monitoring and deployment at scale.

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 aws/nova-act
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Robocorp
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Robocorp · recommended 2×
  2. Playwright · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Browserflow · recommended 1×
  • CATEGORY QUERY
    How to automate repetitive browser-based UI tasks using AI agents?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. LangChain
    3. LlamaIndex
    4. Browserflow
    5. Robocorp
    6. Autoblocks
    7. Puppeteer
    8. UiPath
    9. Microsoft Power Automate Desktop
    10. AI Builder

    AI recommended 10 alternatives but never named aws/nova-act. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for building scalable and reliable AI agents for browser automation in Python?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. Selenium (SeleniumHQ/selenium)
    3. SeleniumBase (seleniumbase/SeleniumBase)
    4. Puppeteer (puppeteer/puppeteer)
    5. Pyppeteer (pyppeteer/pyppeteer)
    6. Robocorp
    7. Browserless
    8. Beautiful Soup 4 (crummy/BeautifulSoup)
    9. Requests-HTML (psf/requests-html)
    10. HTTPX (encode/httpx)

    AI recommended 10 alternatives but never named aws/nova-act. 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 aws/nova-act?
    pass
    AI named aws/nova-act explicitly

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

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