RRepoGEO

REPOGEO REPORT · LITE

sentient-engineering/sentient

Default branch main · commit 43dc0b12 · scanned 6/11/2026, 9:13:06 AM

GitHub: 570 stars · 67 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 sentient-engineering/sentient, 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
    Clarify project scope in README introduction

    Why:

    CURRENT
    The README immediately follows the H1 with a code example.
    COPY-PASTE FIX
    Add the following sentence directly after the H1: "This framework focuses on practical browser control using AI agents, distinct from research into artificial general intelligence or sentience itself."
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://discord.gg/umgnyQU2K8

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 sentient-engineering/sentient
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Playwright
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Playwright · recommended 1×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. Selenium · recommended 1×
  5. Puppeteer · recommended 1×
  • CATEGORY QUERY
    How can I programmatically control a web browser using AI agents?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. LangChain
    3. LlamaIndex
    4. Selenium
    5. Puppeteer
    6. Browserless.io
    7. Apify
    8. AutoGPT
    9. BabyAGI

    AI recommended 9 alternatives but never named sentient-engineering/sentient. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's an easy Python library for building intelligent browser automation scripts?
    you: not recommended
    AI recommended (in order):
    1. Playwright for Python
    2. Selenium with Python
    3. Pyppeteer
    4. Requests-HTML
    5. MechanicalSoup

    AI recommended 5 alternatives but never named sentient-engineering/sentient. 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 sentient-engineering/sentient?
    pass
    AI named sentient-engineering/sentient explicitly

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

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

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

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MARKDOWN (README)
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HTML
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sentient-engineering/sentient — 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