REPOGEO REPORT · LITE

enricoros/big-AGI

Default branch main · commit 4a022ca5 · scanned 5/27/2026, 2:22:04 PM

GitHub: 6,986 stars · 1,578 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 enricoros/big-AGI, 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 the README's opening to clearly define Big-AGI as an AI suite/platform

Why:

COPY-PASTE FIX

Add a concise, descriptive paragraph immediately after the main title/badges in your README, such as: "Big-AGI is a powerful, open-source AI suite designed for advanced AGI functions, world-class multi-model chat, and comprehensive AI agent development. Deployable on-prem or in the cloud, it provides a full workspace for building and managing sophisticated AI applications."

mediumtopics#2

Add more specific topics to reinforce 'AI suite' and 'platform' identity

Why:

CURRENT

agi, ai-agents, ai-suite, ai-workspace, anthropic-api, deepseek-api, gemini-api, gpt, gpt-5, librechat, multi-modal, multi-model, nano-banana, openai-responses-api, openwebui, perplexity-api, sonnet-4-5, xai-api

COPY-PASTE FIX

agi, ai-agents, ai-suite, ai-workspace, ai-platform, ai-application, ai-orchestration, ai-personas, multi-agent-system, llm-ui, llm-platform, anthropic-api, deepseek-api, gemini-api, gpt, gpt-5, librechat, multi-modal, multi-model, nano-banana, openai-responses-api, openwebui, perplexity-api, sonnet-4-5, xai-api

lowreadme#3

Add a dedicated section for core differentiators in the README

Why:

COPY-PASTE FIX

Add a section titled 'Why Big-AGI Stands Out:' or 'Core Differentiators' early in your README, listing key unique features like:

### Why Big-AGI Stands Out:
*   **Advanced AGI Functions:** Go beyond basic chat with powerful AGI capabilities.
*   **World-Class Beam Multi-Model Chats:** Seamlessly integrate and compare responses from state-of-the-art models.
*   **Custom AI Personas:** Define and manage unique AI identities for tailored interactions.
*   **Comprehensive AI Suite:** Includes text-to-image, voice, response streaming, code execution, PDF import, and more.
*   **Flexible Deployment:** Easily deploy on-premise or in the cloud for full control.

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 enricoros/big-AGI

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 1×
LlamaIndex · recommended 1×
Haystack · recommended 1×
Open Assistant · recommended 1×
Hugging Face Transformers · recommended 1×

CATEGORY QUERY
What are the best open-source AI platforms for multi-model chat and advanced AGI functions?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Haystack
4. Open Assistant
5. Hugging Face Transformers
6. AutoGen
AI recommended 6 alternatives but never named enricoros/big-AGI. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I set up a local AI workspace with multiple model APIs and custom personas?
you: not recommended
AI recommended (in order):
1. LM Studio
2. Ollama
3. LocalAI
4. Text Generation WebUI (oobabooga/text-generation-webui)
5. Jan
AI recommended 5 alternatives but never named enricoros/big-AGI. 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 enricoros/big-AGI?
pass
AI did not name enricoros/big-AGI — 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 enricoros/big-AGI in production, what risks or prerequisites should they evaluate first?
pass
AI named enricoros/big-AGI 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 enricoros/big-AGI solve, and who is the primary audience?
pass
AI named enricoros/big-AGI explicitly
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 enricoros/big-AGI. 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/enricoros/big-AGI.svg)](https://repogeo.com/en/r/enricoros/big-AGI)

HTML

<a href="https://repogeo.com/en/r/enricoros/big-AGI"><img src="https://repogeo.com/badge/enricoros/big-AGI.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

enricoros/big-AGI — 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