RRepoGEO

REPOGEO REPORT · LITE

666ghj/DeepSearchAgent-Demo

Default branch main · commit acb0a0ba · scanned 5/19/2026, 2:08:07 AM

GitHub: 1,182 stars · 303 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
22 /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
1 / 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 666ghj/DeepSearchAgent-Demo, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agent, deep-search, research-agent, llm, python, streamlit, report-generation, multi-turn-search, framework-agnostic
  • highreadme#2
    Clarify the README's opening statement to emphasize its unique positioning

    Why:

    CURRENT
    一个**无框架**的深度搜索AI代理实现，能够通过多轮搜索和反思生成高质量的研究报告。
    COPY-PASTE FIX
    Deep Search Agent 是一个**无框架**的Python AI代理实现，专为深度、多轮搜索和高质量研究报告生成而设计。与LangChain、LlamaIndex等框架不同，它提供了一个从零开始、简洁清晰的解决方案，专注于自主反思和信息合成。
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/666ghj/DeepSearchAgent-Demo

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 666ghj/DeepSearchAgent-Demo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. LangChain · recommended 1×
  3. Haystack · recommended 1×
  4. Auto-GPT · recommended 1×
  5. BabyAGI · recommended 1×
  • CATEGORY QUERY
    Need a lightweight AI agent for multi-turn deep search and comprehensive report generation.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Auto-GPT
    5. BabyAGI
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named 666ghj/DeepSearchAgent-Demo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python tool to create detailed research reports using reflective AI search.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. LangChain (langchain-ai/langchain)
    3. Haystack (deepset-ai/haystack)
    4. AutoGPT (Significant-Gravitas/AutoGPT)
    5. BabyAGI (yoheinakajima/babyagi)
    6. Glean

    AI recommended 6 alternatives but never named 666ghj/DeepSearchAgent-Demo. 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 666ghj/DeepSearchAgent-Demo?
    pass
    AI did not name 666ghj/DeepSearchAgent-Demo — 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 666ghj/DeepSearchAgent-Demo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 666ghj/DeepSearchAgent-Demo 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 666ghj/DeepSearchAgent-Demo solve, and who is the primary audience?
    pass
    AI did not name 666ghj/DeepSearchAgent-Demo — 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?

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666ghj/DeepSearchAgent-Demo — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite