RRepoGEO

REPOGEO REPORT · LITE

OSU-NLP-Group/SeeAct

Default branch main · commit 2434627b · scanned 6/11/2026, 4:57:29 AM

GitHub: 847 stars · 109 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 OSU-NLP-Group/SeeAct, 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
  • highreadme#1
    Explicitly differentiate SeeAct from related datasets in the README

    Why:

    COPY-PASTE FIX
    Add a clear statement near the top of the README, for example, after the initial description: "Note: While SeeAct is developed by the OSU-NLP-Group and utilizes related datasets like Mind2Web and Multimodal-Mind2Web, SeeAct itself is a system and framework for building and running web agents, not a dataset."
  • mediumtopics#2
    Expand repository topics for better categorization

    Why:

    CURRENT
    agent
    COPY-PASTE FIX
    web-agents, large-multimodal-models, lmm, gpt4v, web-automation, ai-framework, task-execution, nlp, icml2024, research
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a 'License' section to the README: "## License\nThis project is licensed under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details on applicable licenses."

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 OSU-NLP-Group/SeeAct
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. GPT-4V · recommended 1×
  3. Gemini 1.5 Pro · recommended 1×
  4. LLaVA · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How to build autonomous web agents using large multimodal models for task execution?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. GPT-4V
    3. Gemini 1.5 Pro
    4. LLaVA
    5. AutoGPT
    6. BabyAGI
    7. selenium-webdriver
    8. LangChain
    9. PlaywrightBrowser
    10. SeleniumBrowser
    11. Selenium WebDriver
    12. YOLO
    13. Puppeteer
    14. MindEye

    AI recommended 14 alternatives but never named OSU-NLP-Group/SeeAct. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for LMM-powered web automation and interactive task completion on any site.
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Puppeteer (puppeteer/puppeteer)
    5. Selenium (SeleniumHQ/selenium)
    6. AutoGPT (Significant-Gravitas/AutoGPT)
    7. BabyAGI (yoheinakajima/babyagi)
    8. AgentGPT (replit/agent-gpt)
    9. Browserless.io (browserless/browserless)

    AI recommended 9 alternatives but never named OSU-NLP-Group/SeeAct. 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 OSU-NLP-Group/SeeAct?
    pass
    AI named OSU-NLP-Group/SeeAct 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/SeeAct in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OSU-NLP-Group/SeeAct 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/SeeAct solve, and who is the primary audience?
    pass
    AI named OSU-NLP-Group/SeeAct 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 OSU-NLP-Group/SeeAct. 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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HTML
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OSU-NLP-Group/SeeAct — 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