RRepoGEO

REPOGEO REPORT · LITE

OSU-NLP-Group/Mind2Web

Default branch main · commit 33bd95ca · scanned 6/28/2026, 2:28:01 PM

GitHub: 1,005 stars · 124 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
63 /100
Needs work
Category recall
1 / 2
Avg rank #3.0 when recommended
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 OSU-NLP-Group/Mind2Web, 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's opening statement to clarify its role

    Why:

    CURRENT
    Dataset, code, and models for the paper "Mind2Web: Towards a Generalist Agent for the Web".
    COPY-PASTE FIX
    Mind2Web is the premier research benchmark, dataset, and codebase for developing and evaluating generalist AI agents that can autonomously interact with any website. It provides the foundational resources for researchers and developers to advance the state-of-the-art in web-based AI.
  • mediumcomparison#2
    Add a 'Mind2Web in the Ecosystem' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'Mind2Web in the Web Agent Ecosystem', with text similar to: 'Unlike web automation libraries such as Playwright or Selenium, or general-purpose LLM frameworks like LangChain, Mind2Web is not a tool for direct web scripting. Instead, it serves as a critical benchmark and dataset for researchers and developers focused on building and evaluating the next generation of truly generalist AI agents capable of complex, instruction-following interaction across diverse, real-world websites.'

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
1 / 2
50% of queries surface OSU-NLP-Group/Mind2Web
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
Playwright
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Playwright · recommended 2×
  2. Selenium · recommended 1×
  3. Puppeteer · recommended 1×
  4. LangChain · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How can I build an AI agent to interact with websites autonomously?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Selenium
    3. Puppeteer
    4. LangChain
    5. AutoGPT
    6. BabyAGI
    7. Beautiful Soup
    8. Scrapy

    AI recommended 8 alternatives but never named OSU-NLP-Group/Mind2Web. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a dataset and benchmark to evaluate generalist web automation models.
    you: #3
    AI recommended (in order):
    1. WebArena
    2. MiniWoB++
    3. Mind2Web ← you
    4. WebShop
    5. AQUA
    6. Playwright
    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 OSU-NLP-Group/Mind2Web?
    pass
    AI named OSU-NLP-Group/Mind2Web explicitly

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

  • If a team adopts OSU-NLP-Group/Mind2Web in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OSU-NLP-Group/Mind2Web 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 OSU-NLP-Group/Mind2Web solve, and who is the primary audience?
    pass
    AI named OSU-NLP-Group/Mind2Web explicitly

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

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OSU-NLP-Group/Mind2Web — 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