RRepoGEO

REPOGEO REPORT · LITE

ideogram-oss/ideogram4

Default branch main · commit 415abf4d · scanned 6/9/2026, 11:58:13 AM

GitHub: 1,763 stars · 169 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 ideogram-oss/ideogram4, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    text-to-image, generative-ai, image-generation, deep-learning, ai-model, open-source, multilingual-text, typography, design
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://ideogram.ai/
  • mediumreadme#3
    Reposition the README's opening to clearly state the repository's purpose

    Why:

    CURRENT
    The README's first content after the logo/badges is <p align="center"><em>Ideogram 4: Open image model at the forefront of design</em></p> followed by links and then "Ideogram 4 is **Ideogram's first open-weight text-to-image model**."
    COPY-PASTE FIX
    This repository contains **Ideogram 4, our first open-weight text-to-image model**. Ideogram 4 is a state-of-the-art foundation model trained from scratch, excelling in multilingual text rendering, deep language understanding, and precise layout controls. While the easiest way to try the model is online at ideogram.ai, this repository provides the open-weight model and resources for researchers and developers.

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 ideogram-oss/ideogram4
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion XL (SDXL)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion XL (SDXL) · recommended 2×
  2. DeepFloyd IF · recommended 2×
  3. Stable Diffusion (v1.5/v2.1) · recommended 1×
  4. Kandinsky 2.2 · recommended 1×
  5. PixArt-α · recommended 1×
  • CATEGORY QUERY
    What are the best open-source text-to-image models for high-quality design generation?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion XL (SDXL)
    2. Stable Diffusion (v1.5/v2.1)
    3. DeepFloyd IF
    4. Kandinsky 2.2
    5. PixArt-α

    AI recommended 5 alternatives but never named ideogram-oss/ideogram4. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need an AI model for generating images with accurate, multilingual text rendering.
    you: not recommended
    AI recommended (in order):
    1. DeepFloyd IF
    2. Stable Diffusion XL (SDXL)
    3. Midjourney (v5.2 and later)
    4. DALL-E 3
    5. ControlNet

    AI recommended 5 alternatives but never named ideogram-oss/ideogram4. 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 ideogram-oss/ideogram4?
    pass
    AI named ideogram-oss/ideogram4 explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts ideogram-oss/ideogram4 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ideogram-oss/ideogram4 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 ideogram-oss/ideogram4 solve, and who is the primary audience?
    pass
    AI named ideogram-oss/ideogram4 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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ideogram-oss/ideogram4 — 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