REPOGEO REPORT · LITE

langchain-ai/local-deep-researcher

Default branch main · commit 81acba16 · scanned 6/22/2026, 3:42:51 AM

GitHub: 9,222 stars · 967 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

35 /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

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 langchain-ai/local-deep-researcher, 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

highreadme#1

Reposition the README H1 and opening paragraph to emphasize agentic, local, and report-writing capabilities

Why:

CURRENT

# Local Deep Researcher

Local Deep Researcher is a fully local web research assistant that uses any LLM hosted by Ollama or LMStudio. Give it a topic and it will generate a web search query, gather web search results, summarize the results of web search, reflect on the summary to examine knowledge gaps, generate a new search query to address the gaps, and repeat for a user-defined number of cycles. It will provide the user a final markdown summary with all sources used to generate the summary.

COPY-PASTE FIX

# Local Deep Researcher: Fully Local AI Agent for Iterative Web Research and Report Writing

Local Deep Researcher is an autonomous, fully local web research and report writing assistant. It leverages any LLM hosted by Ollama or LMStudio to perform iterative web searches, summarize findings, identify knowledge gaps, and generate comprehensive reports with sources, all without external API calls.

mediumhomepage#2
Add the repository URL as the homepage
Why:
COPY-PASTE FIX
```
https://github.com/langchain-ai/local-deep-researcher
```

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 langchain-ai/local-deep-researcher

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Playwright

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Playwright · recommended 2×
Selenium · recommended 2×
LangChain · recommended 1×
LlamaIndex · recommended 1×
AutoGPT · recommended 1×

CATEGORY QUERY
How can I automate iterative web research and generate comprehensive reports locally using an LLM?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. AutoGPT
4. BabyAGI
5. Beautiful Soup 4
6. Requests
7. Playwright
8. Selenium
9. Ollama
10. Pandoc
AI recommended 10 alternatives but never named langchain-ai/local-deep-researcher. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a self-hosted tool to perform deep web research with local Ollama models.
you: not recommended
AI recommended (in order):
1. LocalGPT
2. BeautifulSoup
3. Scrapy
4. Selenium
5. Playwright
6. PrivateGPT
7. Haystack
8. Nomic Atlas
AI recommended 8 alternatives but never named langchain-ai/local-deep-researcher. 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 langchain-ai/local-deep-researcher?
pass
AI named langchain-ai/local-deep-researcher explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts langchain-ai/local-deep-researcher in production, what risks or prerequisites should they evaluate first?
pass
AI named langchain-ai/local-deep-researcher 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 langchain-ai/local-deep-researcher solve, and who is the primary audience?
pass
AI named langchain-ai/local-deep-researcher explicitly
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)

[![RepoGEO](https://repogeo.com/badge/langchain-ai/local-deep-researcher.svg)](https://repogeo.com/en/r/langchain-ai/local-deep-researcher)

HTML

<a href="https://repogeo.com/en/r/langchain-ai/local-deep-researcher"><img src="https://repogeo.com/badge/langchain-ai/local-deep-researcher.svg" alt="RepoGEO" /></a>

Pro

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langchain-ai/local-deep-researcher — 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