RRepoGEO

REPOGEO REPORT · LITE

ArvinLovegood/go-stock

Default branch dev · commit f933d58c · scanned 6/27/2026, 9:31:33 PM

GitHub: 6,571 stars · 1,171 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 ArvinLovegood/go-stock, 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 clear English tagline to the README's introduction

    Why:

    CURRENT
    The README excerpt starts with a Chinese H1 and then proceeds to sponsors and a Chinese '简介' section.
    COPY-PASTE FIX
    Add this line directly after the H1:

An AI-powered stock analysis and selection tool for global markets, leveraging large language models for financial insights and local data storage.
  • mediumtopics#2
    Add more specific financial and LLM-related topics

    Why:

    CURRENT
    ai-tools, deepseek, golang, lmstudio, naiveui, ollama, openai, stock, wails
    COPY-PASTE FIX
    ai-tools, deepseek, financial-analysis, golang, llm-applications, lmstudio, naiveui, ollama, openai, stock, stock-market-analysis, wails
  • lowreadme#3
    Explicitly state the license in the README

    Why:

    CURRENT
    The README excerpt does not explicitly state the license.
    COPY-PASTE FIX
    Add this line to the end of the '简介' (Introduction) section:

- This project is licensed under the GPL-3.0 License.

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 ArvinLovegood/go-stock
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TrendSpider
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TrendSpider · recommended 1×
  2. Stock Rover · recommended 1×
  3. Simply Wall St · recommended 1×
  4. Koyfin · recommended 1×
  5. Finbox.com · recommended 1×
  • CATEGORY QUERY
    How to find an AI-powered tool for stock analysis and selection across global markets?
    you: not recommended
    AI recommended (in order):
    1. TrendSpider
    2. Stock Rover
    3. Simply Wall St
    4. Koyfin
    5. Finbox.com
    6. AlphaSense
    7. Zacks Investment Research

    AI recommended 7 alternatives but never named ArvinLovegood/go-stock. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Golang application using LLMs for financial analysis with local data storage and alerts.
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. Llama 3
    3. Mistral
    4. LangChain-Go (tmc/langchaingo)
    5. llama.cpp (ggerganov/llama.cpp)
    6. OpenAI GPT-4
    7. Google Gemini
    8. Anthropic Claude
    9. openai-go (sashabaranov/go-openai)
    10. google-cloud-go (googleapis/google-cloud-go)
    11. anthropic-go (anthropics/anthropic-go)
    12. SQLite
    13. mattn/go-sqlite3 (mattn/go-sqlite3)
    14. PostgreSQL
    15. lib/pq (lib/pq)
    16. jackc/pgx (jackc/pgx)
    17. BadgerDB (dgraph-io/badger)
    18. go-gomail/gomail (go-gomail/gomail)
    19. nlopes/slack (nlopes/slack)
    20. github.com/go-telegram-bot-api/telegram-bot-api (go-telegram-bot-api/telegram-bot-api)
    21. github.com/twilio/twilio-go (twilio/twilio-go)

    AI recommended 21 alternatives but never named ArvinLovegood/go-stock. 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 ArvinLovegood/go-stock?
    pass
    AI named ArvinLovegood/go-stock explicitly

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

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

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

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ArvinLovegood/go-stock — 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