RRepoGEO

REPOGEO REPORT · LITE

jakobhoeg/nextjs-ollama-llm-ui

Default branch master · commit 79c53f4a · scanned 5/19/2026, 5:02:21 AM

GitHub: 1,418 stars · 331 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
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 jakobhoeg/nextjs-ollama-llm-ui, 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's opening paragraph and remove self-deprecation

    Why:

    CURRENT
    Get up and running with Large Language Models **quickly**, **locally** and even **offline**.
    This project aims to be the easiest way for you to get started with LLMs. No tedious and annoying setup required!
    
    > This is a hobby project. If you want a more complete experience, I suggest taking a look at this instead.
    COPY-PASTE FIX
    Get up and running with Large Language Models **quickly**, **locally**, and even **offline** through an intuitive, fully-featured web UI. This project provides the easiest way to interact with your Ollama LLMs, offering a seamless chat experience with no tedious setup required.
  • mediumabout#2
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://github.com/jakobhoeg/nextjs-ollama-llm-ui
  • lowreadme#3
    Add a differentiator bullet point to the Features section

    Why:

    COPY-PASTE FIX
    Add this as a new bullet point in the 'Features' section:
    - Unique Web-First Approach: Provides a fully web-based, easy-to-deploy interface specifically for Ollama, distinguishing it from desktop-only or more complex backend solutions.

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 jakobhoeg/nextjs-ollama-llm-ui
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. Ollama · recommended 2×
  3. Jan · recommended 2×
  4. oobabooga/text-generation-webui · recommended 2×
  5. LocalAI · recommended 2×
  • CATEGORY QUERY
    How to easily run and interact with large language models locally via a web UI?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. text-generation-webui (oobabooga/text-generation-webui)
    5. LocalAI
    6. KoboldCpp

    AI recommended 6 alternatives but never named jakobhoeg/nextjs-ollama-llm-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good open-source web interfaces for managing and chatting with local AI models offline?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. Text Generation WebUI (oobabooga/text-generation-webui)
    5. LocalAI
    6. KoboldAI Lite
    7. KoboldAI United

    AI recommended 7 alternatives but never named jakobhoeg/nextjs-ollama-llm-ui. 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 jakobhoeg/nextjs-ollama-llm-ui?
    pass
    AI did not name jakobhoeg/nextjs-ollama-llm-ui — 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 jakobhoeg/nextjs-ollama-llm-ui in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jakobhoeg/nextjs-ollama-llm-ui 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 jakobhoeg/nextjs-ollama-llm-ui solve, and who is the primary audience?
    pass
    AI did not name jakobhoeg/nextjs-ollama-llm-ui — 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?

Embed your GEO score

Drop this badge into the README of jakobhoeg/nextjs-ollama-llm-ui. 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/jakobhoeg/nextjs-ollama-llm-ui.svg)](https://repogeo.com/en/r/jakobhoeg/nextjs-ollama-llm-ui)
HTML
<a href="https://repogeo.com/en/r/jakobhoeg/nextjs-ollama-llm-ui"><img src="https://repogeo.com/badge/jakobhoeg/nextjs-ollama-llm-ui.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

jakobhoeg/nextjs-ollama-llm-ui — 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