RRepoGEO

REPOGEO REPORT · LITE

jesse-ai/jesse

Default branch master · commit c571d3a2 · scanned 6/22/2026, 6:37:38 AM

GitHub: 8,073 stars · 1,152 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 jesse-ai/jesse, 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
    Move core value proposition to the top of the README

    Why:

    CURRENT
    Algo-trading was 😵‍💫, we made it 🤩
    COPY-PASTE FIX
    Replace the opening slogan 'Algo-trading was 😵‍💫, we made it 🤩' with a direct, keyword-rich statement like: 'Jesse is an advanced Python framework for building, backtesting, optimizing, and live trading automated cryptocurrency strategies and bots.'
  • mediumcomparison#2
    Add a brief comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, titled 'Jesse vs. Alternatives' or 'Why Jesse?', that briefly outlines how Jesse's event-driven architecture, multi-timeframe support, or focus on crypto trading differentiates it from common frameworks like Backtrader or Freqtrade.
  • lowreadme#3
    Explicitly mention 'optimization' in Key Features

    Why:

    CURRENT
    📝 **Simple Syntax**: Define both simple and advanced trading strategies with the simplest syntax in the fastest time.
    COPY-PASTE FIX
    Review the 'Key Features' section to ensure 'optimization' is explicitly listed or integrated into a feature description. For instance, you could modify the 'Simple Syntax' feature to: '📝 **Simple Syntax**: Define, backtest, and **optimize** both simple and advanced trading strategies with the simplest syntax.'

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 jesse-ai/jesse
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Backtrader
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Backtrader · recommended 2×
  2. Freqtrade · recommended 2×
  3. PyAlgoTrade · recommended 2×
  4. CCXT · recommended 1×
  5. QuantConnect · recommended 1×
  • CATEGORY QUERY
    How can I build an automated cryptocurrency trading bot using a Python framework?
    you: not recommended
    AI recommended (in order):
    1. CCXT
    2. QuantConnect
    3. Backtrader
    4. Freqtrade
    5. PyAlgoTrade

    AI recommended 5 alternatives but never named jesse-ai/jesse. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python framework to backtest and optimize custom crypto trading strategies.
    you: not recommended
    AI recommended (in order):
    1. Backtrader
    2. Lean Engine
    3. PyAlgoTrade
    4. Catalyst
    5. Freqtrade
    6. VectorBT

    AI recommended 6 alternatives but never named jesse-ai/jesse. 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 jesse-ai/jesse?
    pass
    AI named jesse-ai/jesse explicitly

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

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

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

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jesse-ai/jesse — 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