RRepoGEO

REPOGEO REPORT · LITE

RUC-NLPIR/WebThinker

Default branch main · commit db387eb3 · scanned 5/19/2026, 5:58:16 AM

GitHub: 1,444 stars · 138 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)

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

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 RUC-NLPIR/WebThinker, 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
    Add a concise positioning statement to the README's introduction

    Why:

    COPY-PASTE FIX
    Add the following sentence directly after the main H1: "WebThinker is a novel multi-agent system designed to empower large language models with advanced deep web research capabilities, enabling automated, comprehensive report generation from diverse web data."
  • mediumtopics#2
    Refine repository topics for better LLM agent categorization

    Why:

    CURRENT
    deepresearch, deepsearch, deepseek-r1, gaia, gpqa, hle, o1, o3, qwq, reasoning, reportgen, research, webwalker
    COPY-PASTE FIX
    llm-agent, multi-agent-system, autonomous-ai, web-agent, knowledge-generation, deepresearch, deepsearch, reasoning, reportgen, research, webwalker
  • mediumreadme#3
    Add a "Comparison" section to differentiate from alternatives

    Why:

    COPY-PASTE FIX
    Add a new section titled "Why WebThinker? Differentiating from Alternatives" that explains how WebThinker's multi-agent architecture for deep research and report generation differs from generic web scrapers (like Scrapy) and general-purpose LLM orchestration frameworks (like LangChain or LlamaIndex). Focus on its specialized capability for *deep research* and *automated report generation*.

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 RUC-NLPIR/WebThinker
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SerpApi
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SerpApi · recommended 2×
  2. scrapy/scrapy · recommended 1×
  3. microsoft/playwright · recommended 1×
  4. SeleniumHQ/selenium · recommended 1×
  5. crummy/beautifulsoup4 · recommended 1×
  • CATEGORY QUERY
    How to empower large language models with advanced deep web research capabilities?
    you: not recommended
    AI recommended (in order):
    1. Scrapy (scrapy/scrapy)
    2. Playwright (microsoft/playwright)
    3. Selenium (SeleniumHQ/selenium)
    4. Beautiful Soup 4 (crummy/beautifulsoup4)
    5. Apache Nutch (apache/nutch)
    6. SerpApi
    7. Bright Data
    8. Elasticsearch (elastic/elasticsearch)
    9. Apache Solr (apache/solr)
    10. LangChain (langchain-ai/langchain)
    11. LlamaIndex (run-llama/llama_index)

    AI recommended 11 alternatives but never named RUC-NLPIR/WebThinker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to enhance LLM reasoning and automate comprehensive report generation from web data.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. BabyAGI
    5. OpenAI API
    6. Anthropic's Claude
    7. Google's Gemini
    8. Beautiful Soup
    9. Scrapy
    10. SerpApi
    11. Google Search API
    12. Zapier
    13. Make

    AI recommended 13 alternatives but never named RUC-NLPIR/WebThinker. 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 RUC-NLPIR/WebThinker?
    pass
    AI named RUC-NLPIR/WebThinker explicitly

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

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

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

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RUC-NLPIR/WebThinker — 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