New in the DEJAN app: Gemini 4 Argon
Gemini 4 Argon named IKEA in 59 of 165 answers at an average position of 1.4 and rated it relevant in 94% of answers about its topics. Gemini 3.8 Flash named it in 55 of 165 on the same questions.
Gemini 4 Argon Gemini 3.8 Flash (Flash figures appear when its answers are in)
Share of all brand mentions when each model was asked about your topics.
Questions phrased the way people search, answered from each model's own knowledge.
Mentions across topic answers and search-style questions, with where each brand appears in Argon's lists.
How often each model names your brand for a topic, and how relevant it rates your brand when asked directly.
Your brand's position in each model's answer. A dash means the model did not name your brand.
Larger terms came up more often. Outlined terms came up in both models.
The same question, asked of Gemini 3.8 Flash.
Gemini 3.8 Flash is answering the same questions. The comparison appears here when it is ready.
| Same questions, two models | Argon | 3.8 Flash |
|---|
Both models agree that 0 competitors are named more often than IKEA, and both score IKEA at 100.0% relevance across nine core furniture topics.
Google's newer model mentions IKEA more often, though slightly lower down the page. IKEA should review its content on "Sustainable home furnishings" due to the large drop in Argon, and watch local competitors like Mio, String, and Svenskt Tenn, which Argon now favors.
Written by Gemini 4 Argon from the figures on this page.
Your project keeps these answers and adds OpenAI and Anthropic, so you can compare all three platforms. New accounts get $10 of starter credit, enough to set up your first project. No card required.
Enter your website at the top of this page. Argon and Gemini 3.8 Flash answer the same questions about your brand, free and without sign-in.
Content Optimizer tests edits to your page against an AI ranker and keeps the edits that move it higher. When a run stops improving, Recommend Steering sends the run's results, the competitors' advantages and the earlier rounds to an expert model, which writes directions for the next rounds.
Gemini 4 Argon is now the Google expert model for Recommend Steering. It runs at a high thinking level. Claude Opus 5.5 stays the Anthropic expert model.
| Model | gemini-4-argon, stable |
|---|---|
| Context window | 1,048,576 tokens |
| Output per reply | 65,536 tokens |
| Thinking levels | Low, medium, high |
| Search grounding | Supported |