RRepoGEO

REPOGEO REPORT · LITE

THUDM/AutoWebGLM

Default branch main · commit eb8524e5 · scanned 6/7/2026, 7:23:16 PM

GitHub: 931 stars · 83 forks

AI VISIBILITY SCORE
28 /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
2 / 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 THUDM/AutoWebGLM, 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 README opening to emphasize LLM agent differentiation

    Why:

    CURRENT
    This is the official implementation of AutoWebGLM. If you find our open-sourced efforts useful, please 🌟 the repo to encourage our following development! # Overview AutoWebGLM is a project aimed at building a more efficient language model-driven automated web navigation agent. This project is built on top of the ChatGLM3-6B model, extending its capabilities to navigate the web more effectively and tackle real-world browsing challenges better.
    COPY-PASTE FIX
    This is the official implementation of AutoWebGLM, a novel **LLM-based web navigating agent** from our KDD'24 paper. AutoWebGLM empowers large language models to autonomously understand and interact with complex web pages, moving beyond traditional web automation tools to tackle real-world browsing challenges more effectively. If you find our open-sourced efforts useful, please 🌟 the repo to encourage our following development!
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/THUDM/AutoWebGLM

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 THUDM/AutoWebGLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Playwright
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Playwright · recommended 2×
  2. Selenium WebDriver · recommended 2×
  3. Puppeteer · recommended 2×
  4. LangChain · recommended 1×
  5. Beautiful Soup · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent that can autonomously navigate websites?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Selenium WebDriver
    3. Puppeteer
    4. LangChain
    5. Beautiful Soup
    6. LlamaIndex
    7. SerpApi
    8. Google Search API

    AI recommended 8 alternatives but never named THUDM/AutoWebGLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help large language models interact with complex web pages effectively?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Selenium WebDriver
    3. Puppeteer
    4. Beautiful Soup 4
    5. requests
    6. httpx
    7. Scrapy
    8. Splash
    9. Microsoft Playwright for .NET / Java / Python

    AI recommended 9 alternatives but never named THUDM/AutoWebGLM. 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 THUDM/AutoWebGLM?
    pass
    AI did not name THUDM/AutoWebGLM — 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 THUDM/AutoWebGLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named THUDM/AutoWebGLM 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 THUDM/AutoWebGLM solve, and who is the primary audience?
    pass
    AI named THUDM/AutoWebGLM 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 THUDM/AutoWebGLM. 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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THUDM/AutoWebGLM — 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