REPOGEO REPORT · LITE

nilsherzig/LLocalSearch

Default branch main · commit acda048f · scanned 5/30/2026, 10:57:10 AM

GitHub: 5,959 stars · 367 forks

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 nilsherzig/LLocalSearch, 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

Reposition README H1 and opening paragraph to clarify 'local' means local execution, not optimization

Why:

CURRENT

# LLocalSearch

## What it is and what it does

LLocalSearch is a wrapper around locally running `Large Language Models` (like ChatGTP, but a lot smaller and less "smart") which allows them to choose from a set of tools. These tools allow them to search the internet for current information about your question.

COPY-PASTE FIX

# LLocalSearch: Your Private, Local-First Search Engine Powered by LLM Agents

LLocalSearch is a completely locally running search aggregator that uses LLM Agents to find and synthesize answers to your questions, all without needing external API keys or cloud services. This project focuses on *local execution* of a search engine, distinct from 'local search' optimization algorithms.

mediumtopics#2

Add more specific topics to improve category visibility

Why:

CURRENT

llm, search-engine

COPY-PASTE FIX

llm, search-engine, local-llm, private-search, llm-agent, offline-first, privacy-focused, search-aggregator

lowfaq#3

Add an FAQ entry clarifying 'local' in LLocalSearch

Why:

COPY-PASTE FIX

## FAQ

### What does 'local' in LLocalSearch mean?
'Local' refers to the fact that LLocalSearch runs entirely on your machine, using local LLMs and tools, without sending your queries or data to external cloud services or APIs. It is *not* related to 'local search algorithms' used in optimization.

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 nilsherzig/LLocalSearch

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 2 of 2 queries

COMPETITOR LEADERBOARD

langchain-ai/langchain · recommended 2×
ollama/ollama · recommended 1×
chroma-core/chroma · recommended 1×
Apache Solr · recommended 1×
elastic/elasticsearch · recommended 1×

CATEGORY QUERY
How can I build a private search engine using local LLMs without external API dependencies?
you: not recommended
AI recommended (in order):
1. Ollama (ollama/ollama)
2. ChromaDB (chroma-core/chroma)
3. LangChain (langchain-ai/langchain)
4. Apache Solr
5. Elasticsearch (elastic/elasticsearch)
6. Nomic Embed
7. Llama 3
8. Mistral
9. Streamlit (streamlit/streamlit)
10. Flask (pallets/flask)
11. FastAPI (tiangolo/fastapi)
AI recommended 11 alternatives but never named nilsherzig/LLocalSearch. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools enable LLM agents to perform internet searches and aggregate information locally?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. LlamaIndex (run-llama/llama_index)
3. Tavily API
4. SerpAPI
5. Beautiful Soup 4 (bs4) (crummy/BeautifulSoup)
6. Requests (psf/requests)
7. Scrapy (scrapy/scrapy)
AI recommended 7 alternatives but never named nilsherzig/LLocalSearch. 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 nilsherzig/LLocalSearch?
pass
AI named nilsherzig/LLocalSearch explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts nilsherzig/LLocalSearch in production, what risks or prerequisites should they evaluate first?
pass
AI named nilsherzig/LLocalSearch 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 nilsherzig/LLocalSearch solve, and who is the primary audience?
pass
AI named nilsherzig/LLocalSearch 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)

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HTML

<a href="https://repogeo.com/en/r/nilsherzig/LLocalSearch"><img src="https://repogeo.com/badge/nilsherzig/LLocalSearch.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite