RRepoGEO

REPOGEO REPORT · LITE

0xSero/parchi

Default branch master · commit 812e979c · scanned 6/12/2026, 11:51:48 PM

GitHub: 538 stars · 55 forks

AI VISIBILITY SCORE
27 /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
1 / 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 0xSero/parchi, 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
  • highabout#1
    Update the repository's 'About' description

    Why:

    CURRENT
    Your AI friend right in your browser
    COPY-PASTE FIX
    An AI-powered browser copilot (Chrome/Firefox extension) for chat-driven browser automation.
  • mediumreadme#2
    Expand the 'Core Features' section in README

    Why:

    CURRENT
    ✨ Core Features - streaming chat +
    COPY-PASTE FIX
    Add a comprehensive bulleted list of core features, detailing capabilities like 'natural language command execution,' 'web navigation,' 'data extraction,' 'form filling,' 'summarization,' and 'integration with various AI models.'
  • lowreadme#3
    Add a 'Why Parchi?' or 'Comparison' section to README

    Why:

    COPY-PASTE FIX
    Add a new H2 section like '## Why Parchi?' or '## Parchi vs. Alternatives' that briefly explains its unique approach (e.g., model-agnostic, open-source, chat-driven automation) compared to other browser automation or AI copilot tools.

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 0xSero/parchi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Voiceflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Voiceflow · recommended 1×
  2. Zapier · recommended 1×
  3. Make (formerly Integromat) · recommended 1×
  4. OpenAI's GPT-4 · recommended 1×
  5. Google's Gemini · recommended 1×
  • CATEGORY QUERY
    How can I automate browser tasks using natural language commands?
    you: not recommended
    AI recommended (in order):
    1. Voiceflow
    2. Zapier
    3. Make (formerly Integromat)
    4. OpenAI's GPT-4
    5. Google's Gemini
    6. Puppeteer (puppeteer/puppeteer)
    7. Playwright (microsoft/playwright)
    8. Robocorp
    9. UiPath
    10. Blue Prism
    11. Google Dialogflow
    12. Microsoft LUIS
    13. Tallyfy
    14. Process Street

    AI recommended 14 alternatives but never named 0xSero/parchi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best AI browser extensions for intelligent web workflow automation?
    you: not recommended
    AI recommended (in order):
    1. Bardeen.ai
    2. Magical
    3. Glasp
    4. Sider
    5. Monica
    6. Text Blaze
    7. Surfer AI

    AI recommended 7 alternatives but never named 0xSero/parchi. 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 0xSero/parchi?
    pass
    AI did not name 0xSero/parchi — likely talking about a different project

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

  • If a team adopts 0xSero/parchi in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 0xSero/parchi 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 0xSero/parchi solve, and who is the primary audience?
    pass
    AI did not name 0xSero/parchi — likely talking about a different project

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

Embed your GEO score

Drop this badge into the README of 0xSero/parchi. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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0xSero/parchi — 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