REPOGEO REPORT · LITE

benman1/generative_ai_with_langchain

Default branch second_edition · commit 71598276 · scanned 5/30/2026, 9:52:54 AM

GitHub: 1,367 stars · 569 forks

AI VISIBILITY SCORE

33 /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

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 benman1/generative_ai_with_langchain, 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

Emphasize the repository's role as a practical learning resource for LangChain

Why:

COPY-PASTE FIX

Insert the following sentence immediately after the initial book title and description paragraph: "This repository provides hands-on, production-ready code examples and projects to help developers master building advanced LLM applications and agents using LangChain and LangGraph, as taught in the accompanying book."

mediumtopics#2

Add topics that highlight its educational and practical example nature

Why:

CURRENT

agent, chatgpt, claude, claude-3-5-sonnet, deepseek, deepseek-r1, gpt, gpt-4o, huggingface, langchain, langgraph, llamacpp, llms, ollama, openai

COPY-PASTE FIX

agent, chatgpt, claude, claude-3-5-sonnet, deepseek, deepseek-r1, gpt, gpt-4o, huggingface, langchain, langgraph, llamacpp, llms, ollama, openai, book-companion, llm-examples, langchain-tutorial, generative-ai-course

lowreadme#3

Move key "About the book" content out of the <details> tag

Why:

COPY-PASTE FIX

Move the first paragraph of the "About the book" section (starting "This second edition tackles the biggest challenge...") to appear directly in the README, before the <details> tag.

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 benman1/generative_ai_with_langchain

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

langchain-ai/langchain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

langchain-ai/langchain · recommended 1×
run-llama/llama_index · recommended 1×
deepset-ai/haystack · recommended 1×
openai/openai-python · recommended 1×
huggingface/transformers · recommended 1×

CATEGORY QUERY
How to build robust, production-grade large language model applications using Python?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. LlamaIndex (run-llama/llama_index)
3. Haystack (deepset-ai/haystack)
4. OpenAI Python Library (openai/openai-python)
5. Hugging Face Transformers (huggingface/transformers)
6. FastAPI (tiangolo/fastapi)
AI recommended 6 alternatives but never named benman1/generative_ai_with_langchain. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a Python framework for developing complex AI agents and multi-step LLM workflows.
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Haystack
4. CrewAI
5. Autogen
6. Marvin
AI recommended 6 alternatives but never named benman1/generative_ai_with_langchain. 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 benman1/generative_ai_with_langchain?
pass
AI named benman1/generative_ai_with_langchain explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts benman1/generative_ai_with_langchain in production, what risks or prerequisites should they evaluate first?
pass
AI named benman1/generative_ai_with_langchain 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 benman1/generative_ai_with_langchain solve, and who is the primary audience?
pass
AI did not name benman1/generative_ai_with_langchain — 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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benman1/generative_ai_with_langchain — 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