REPOGEO REPORT · LITE

hananedupouy/LLMs-in-Finance

Default branch main · commit 4726e7c8 · scanned 6/2/2026, 9:13:13 PM

GitHub: 857 stars · 231 forks

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 hananedupouy/LLMs-in-Finance, 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 specific topics to the repository

Why:

COPY-PASTE FIX

llms-in-finance, generative-ai, ai-agents, rag, multimodal-llms, jupyter-notebooks, financial-analysis, autogen, llamaindex, crewai, openai-agents-sdk, anthropic-claude

highreadme#2

Reposition the README H1 and opening sentence to clarify its purpose

Why:

CURRENT

# 🌟 LLMs-in-Finance
**Exploring how to apply GenAI to real-world financial workflows with AI Agents, RAG, and Multimodal LLMs**

Welcome to the **LLMs-in-Finance** repository!  
Here, you'll find hands-on **Jupyter notebooks** demonstrating how to apply the latest Generative AI tools—like **OpenAI's Agents SDK**, **Anthropic's Claude**, **AutoGen**, **LlamaIndex**, and **CrewAI**—to practical finance use cases.

COPY-PASTE FIX

# 🌟 LLMs-in-Finance: Practical Applications & Examples
**This repository offers a collection of hands-on Jupyter notebooks demonstrating how to apply leading Generative AI tools—such as OpenAI's Agents SDK, Anthropic's Claude, AutoGen, LlamaIndex, and CrewAI—to real-world financial workflows, including AI Agents, RAG, and Multimodal LLMs.**

mediumabout#3
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://github.com/hananedupouy/LLMs-in-Finance
```

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 hananedupouy/LLMs-in-Finance

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Anthropic Claude

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Anthropic Claude · recommended 2×
Pinecone · recommended 2×
LangChain · recommended 1×
LlamaIndex · recommended 1×
AutoGen · recommended 1×

CATEGORY QUERY
How can I build collaborative AI agent systems for financial market analysis?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. AutoGen
4. Haystack
5. Mesa
6. OpenAI API
7. Anthropic Claude
8. Google Gemini
9. Pinecone
10. Weaviate
11. Chroma
AI recommended 11 alternatives but never named hananedupouy/LLMs-in-Finance. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking examples applying large language models to financial documents and market data.
you: not recommended
AI recommended (in order):
1. OpenAI GPT-4 / GPT-3.5 Turbo
2. Hugging Face Transformers (huggingface/transformers)
3. FinBERT
4. BloombergGPT
5. Google Cloud Vertex AI
6. PaLM 2
7. Gemini
8. Amazon Textract
9. Amazon Bedrock
10. Anthropic Claude
11. Amazon Titan
12. Google Cloud Document AI
13. LlamaIndex (run-llama/llama_index)
14. LangChain (langchain-ai/langchain)
15. Pinecone
16. Weaviate (weaviate/weaviate)
17. Microsoft Azure OpenAI Service
18. Code Llama
19. StarCoder
20. Anthropic Claude 2 / Claude 3
AI recommended 20 alternatives but never named hananedupouy/LLMs-in-Finance. 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 hananedupouy/LLMs-in-Finance?
pass
AI did not name hananedupouy/LLMs-in-Finance — 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 hananedupouy/LLMs-in-Finance in production, what risks or prerequisites should they evaluate first?
pass
AI named hananedupouy/LLMs-in-Finance 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 hananedupouy/LLMs-in-Finance solve, and who is the primary audience?
pass
AI did not name hananedupouy/LLMs-in-Finance — 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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MARKDOWN (README)

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hananedupouy/LLMs-in-Finance — 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