RRepoGEO

REPOGEO REPORT · LITE

Sider-ai/hatchify

Default branch master · commit f0027e2b · scanned 6/1/2026, 5:03:09 AM

GitHub: 503 stars · 30 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Sider-ai/hatchify, 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
  • highabout#1
    Add a concise 'About' description to clarify project identity

    Why:

    COPY-PASTE FIX
    Hatchify is a powerful Python multi-agent workflow platform for dynamic AI agent orchestration via graph execution, built on FastAPI and AWS Strands SDK.
  • mediumreadme#2
    Add a clarifying tagline to the README H1

    Why:

    CURRENT
    # Hatchify
    COPY-PASTE FIX
    # Hatchify: A Python Multi-Agent Workflow Platform

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 Sider-ai/hatchify
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. Microsoft Semantic Kernel · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    Platform for dynamically orchestrating multiple AI agents using a graph execution engine?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. AutoGPT
    6. BabyAGI
    7. Prefect
    8. Apache Airflow

    AI recommended 8 alternatives but never named Sider-ai/hatchify. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python framework to define and execute complex AI agent workflows via JSON configuration?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. CrewAI (joaomdmoura/crewai)
    3. Marvin (prefecthq/marvin)
    4. OpenAI Assistants API
    5. Haystack (deepset-ai/haystack)
    6. LlamaIndex (run-llama/llama_index)
    7. Guidance (microsoft/guidance)

    AI recommended 7 alternatives but never named Sider-ai/hatchify. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 Sider-ai/hatchify?
    pass
    AI named Sider-ai/hatchify explicitly

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

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

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

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Sider-ai/hatchify — 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