RRepoGEO

REPOGEO REPORT · LITE

BannyLon/DifyAIA

Default branch main · commit 515ce93f · scanned 5/12/2026, 10:32:27 PM

GitHub: 2,509 stars · 345 forks

AI VISIBILITY SCORE
23 /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
2 / 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 BannyLon/DifyAIA, 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
    Refine the 'About' description for clarity and specificity

    Why:

    CURRENT
    基于Dify自主创建的AI应用DSL工作流，你可以免费获取，无论是出于个人需求还是学习目的，它都能为您开启一段充满无限可能的智能之旅。
    COPY-PASTE FIX
    Dify.ai 开源工作流DSL示例库，提供可直接导入的AI应用工作流模板，助力开发者快速学习Dify平台，并为企业团队提供标准化流程参考。
  • mediumlicense#2
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with the full text of the MIT 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 BannyLon/DifyAIA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. Significant-Gravitas/AutoGPT · recommended 1×
  5. joaomdmoura/crewAI · recommended 1×
  • CATEGORY QUERY
    Where can I find open-source examples for building AI application workflows and agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGPT (Significant-Gravitas/AutoGPT)
    5. CrewAI (joaomdmoura/crewAI)
    6. OpenAI Cookbook (openai/openai-cookbook)

    AI recommended 6 alternatives but never named BannyLon/DifyAIA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to standardize AI application processes, including RAG and agent orchestration?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. OpenAI Assistants API
    6. Guidance
    7. Marvin

    AI recommended 7 alternatives but never named BannyLon/DifyAIA. 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 BannyLon/DifyAIA?
    pass
    AI did not name BannyLon/DifyAIA — 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 BannyLon/DifyAIA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BannyLon/DifyAIA 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 BannyLon/DifyAIA solve, and who is the primary audience?
    pass
    AI named BannyLon/DifyAIA explicitly

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

Embed your GEO score

Drop this badge into the README of BannyLon/DifyAIA. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/BannyLon/DifyAIA.svg)](https://repogeo.com/en/r/BannyLon/DifyAIA)
HTML
<a href="https://repogeo.com/en/r/BannyLon/DifyAIA"><img src="https://repogeo.com/badge/BannyLon/DifyAIA.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

BannyLon/DifyAIA — 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