RRepoGEO

REPOGEO REPORT · LITE

reworkd/tarsier

Default branch main · commit cc0888b1 · scanned 5/13/2026, 6:41:39 AM

GitHub: 1,761 stars · 125 forks

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 reworkd/tarsier, 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
  • highabout#1
    Refine the 'About' description to be more specific to LLM agents

    Why:

    CURRENT
    Vision utilities for web interaction agents 👀
    COPY-PASTE FIX
    A Python library providing visual context and element mapping for LLM-powered web agents.
  • mediumtopics#2
    Expand repository topics with more specific AI agent terms

    Why:

    CURRENT
    gpt4v, llms, ocr, playwright, pypi-package, python, selenium, webscraping
    COPY-PASTE FIX
    gpt4v, llms, ocr, playwright, pypi-package, python, selenium, webscraping, ai-agents, web-agents, llm-agents, visual-perception, browser-automation-for-llms, agentic-ai

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 reworkd/tarsier
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/playwright
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/playwright · recommended 1×
  2. puppeteer/puppeteer · recommended 1×
  3. naptha/tesseract.js · recommended 1×
  4. tesseract-ocr/tesseract · recommended 1×
  5. Google Cloud Vision API · recommended 1×
  • CATEGORY QUERY
    How to provide visual context of webpages to large language models for automation?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. Puppeteer (puppeteer/puppeteer)
    3. Tesseract.js (naptha/tesseract.js)
    4. Tesseract (tesseract-ocr/tesseract)
    5. Google Cloud Vision API
    6. Azure Cognitive Services - Computer Vision
    7. AWS Rekognition
    8. html-to-text (html-to-text/node-html-to-text)
    9. BeautifulSoup
    10. OpenCV (opencv/opencv)
    11. YOLO
    12. Detectron2 (facebookresearch/detectron2)
    13. Mask R-CNN
    14. Custom Vision AI (Azure)
    15. AutoML Vision (Google Cloud)

    AI recommended 15 alternatives but never named reworkd/tarsier. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library to help LLMs understand web page visual structure for agent interactions?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Selenium
    3. Beautiful Soup
    4. Luminoth
    5. Detectron2
    6. YOLOv8
    7. Pyppeteer

    AI recommended 7 alternatives but never named reworkd/tarsier. 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 reworkd/tarsier?
    pass
    AI named reworkd/tarsier explicitly

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

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

    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 reworkd/tarsier. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/reworkd/tarsier.svg)](https://repogeo.com/en/r/reworkd/tarsier)
HTML
<a href="https://repogeo.com/en/r/reworkd/tarsier"><img src="https://repogeo.com/badge/reworkd/tarsier.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

reworkd/tarsier — 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