REPOGEO REPORT · LITE

giuseppe99barchetta/SuggestArr

Default branch main · commit 6d439ca1 · scanned 5/25/2026, 11:37:18 PM

GitHub: 1,153 stars · 22 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 giuseppe99barchetta/SuggestArr, 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

highabout#1

Update the about description to explicitly state its category and AI capabilities upfront

Why:

CURRENT

Effortlessly request recommended movies, TV shows and anime to Jellyseer/Overseer based on your recently watched content on Jellyfin, Plex or Emby—let SuggestArr handle it all automatically, keeping your library fresh with new and exciting content!

COPY-PASTE FIX

SuggestArr is an AI-powered media automation tool for Jellyfin, Plex, and Emby. It effortlessly requests recommended movies, TV shows, and anime to Jellyseer/Overseer based on your recently watched content, keeping your library fresh with new and exciting content!

mediumreadme#2

Integrate AI capabilities into the README's opening paragraph

Why:

CURRENT

SuggestArr is a project designed to automate media content recommendations and download requests based on user activity in media servers like **Jellyfin**, **Plex**, and now **Emby**.

COPY-PASTE FIX

SuggestArr is an AI-powered project designed to automate media content recommendations and download requests based on user activity in media servers like **Jellyfin**, **Plex**, and now **Emby**.

mediumreadme#3

Add a 'Comparison' section to the README

Why:

COPY-PASTE FIX

## Comparison with Overseerr/Jellyseerr
SuggestArr differentiates itself by focusing on automated, AI-powered recommendations based on your existing watch history across Jellyfin, Plex, and Emby, and then automatically requesting those titles via Overseerr or Jellyseerr, rather than primarily serving as a user-facing request portal.

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 giuseppe99barchetta/SuggestArr

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Plex Media Server

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Plex Media Server · recommended 1×
Plex Meta Manager (PMM) · recommended 1×
Overseerr · recommended 1×
Jellyseerr · recommended 1×
Jellyfin Media Server · recommended 1×

CATEGORY QUERY
How can I automate media recommendations and requests based on my viewing history on a home server?
you: not recommended
AI recommended (in order):
1. Plex Media Server
2. Plex Meta Manager (PMM)
3. Overseerr
4. Jellyseerr
5. Jellyfin Media Server
6. Jellyfin Auto-Collections Plugin
7. Trakt.tv
8. Radarr
9. Sonarr
10. Lidarr
11. Prowlarr
12. Ombi
13. Kodi
14. Trakt.tv Add-on
15. IMDb
16. TMDB
AI recommended 16 alternatives but never named giuseppe99barchetta/SuggestArr. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools use AI to suggest personalized media and automatically request new content additions?
you: not recommended
AI recommended (in order):
1. Netflix
2. Spotify
3. YouTube
4. Plex
5. Reelgood
AI recommended 5 alternatives but never named giuseppe99barchetta/SuggestArr. 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 giuseppe99barchetta/SuggestArr?
pass
AI named giuseppe99barchetta/SuggestArr explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts giuseppe99barchetta/SuggestArr in production, what risks or prerequisites should they evaluate first?
pass
AI named giuseppe99barchetta/SuggestArr 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 giuseppe99barchetta/SuggestArr solve, and who is the primary audience?
pass
AI did not name giuseppe99barchetta/SuggestArr — 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 giuseppe99barchetta/SuggestArr. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/giuseppe99barchetta/SuggestArr.svg)](https://repogeo.com/en/r/giuseppe99barchetta/SuggestArr)

HTML

<a href="https://repogeo.com/en/r/giuseppe99barchetta/SuggestArr"><img src="https://repogeo.com/badge/giuseppe99barchetta/SuggestArr.svg" alt="RepoGEO" /></a>

Pro

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giuseppe99barchetta/SuggestArr — 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