Analyze visuals with vision
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Update November 2, 2026 — Le Chat is now Vibe. As of May 28, 2026, Le Chat has been rebranded as Vibe (still at chat.mistral.ai): a single agent for work and code, carrying over your conversations, settings, and subscriptions. The legacy Le Chat experience remains accessible in Chat mode; in Work mode, agents have become skills (invoked with
@), memories serve as the knowledge base, and deep search is now the Deep Research skill. The plans are now called Mistral Free, Pro, Team, and Enterprise. This lesson uses the name Vibe; some menus described here may have changed names or locations.
AI vision for visual marketing
Mistral offers vision capabilities that let you analyze images directly within Vibe. For marketers, this shifts a boundary: until now, anything visual escaped assisted analysis and remained a matter of subjective judgment in meetings. You can now dissect competitors’ visual campaigns, evaluate the consistency of your own creatives, and extract insights from complex visuals like infographics.
Analyzing competitor visuals
The primary use case is decoding advertising campaigns. Upload a screenshot of a competitor’s ad to Vibe and request a full readout that separates the core message from the graphic techniques used to deliver it.
Example prompt: “Analyze this ad [attached image]. Identify: the main message, the target audience, key graphic elements (colors, typography, composition), persuasion techniques used, and the creative’s strengths and weaknesses. Compare against industry best practices.”
Visual benchmarking extends this exercise across multiple brands at once. The goal isn’t to crown the prettiest visual, but to spot what makes an identity instantly recognizable in a saturated feed.
Example prompt: “Here are 4 LinkedIn post visuals from our competitors [attached images]. Compare their visual identities: color palette, graphic style, brand consistency, and perceived quality. Which is most impactful and why? What elements could we adapt for our own style guide?”
Analyzing infographics
Infographics pack dense data that Vibe can decipher. An industry infographic circulating on LinkedIn often condenses twenty figures that would take forever to transcribe manually; automatic extraction hands you that material in a reusable format.
Example prompt: “Here is an infographic on 2026 marketing trends [attached image]. Extract all numerical data and mentioned trends. Present them as a structured list. Identify the 3 most relevant insights for our B2B content strategy.”
You can turn this same eye on your own productions before publishing. It’s hard to read an infographic you designed yourself because you already know the logic; an outside view, even an artificial one, reveals broken visual hierarchies.
Example prompt: “Here is the draft of our infographic [attached image]. Evaluate it on these criteria: readability (visual hierarchy, text size), data consistency, visual impact, and clarity of the main message. What improvements do you suggest before publication?”
Visual audit of your communications
Brand consistency degrades slowly as visuals are produced by different people, in different tools, under time pressure. Gathering six recent creatives and having them reviewed together highlights drifts that day-to-day production masks.
Example prompt: “Here are 6 recent visuals from our communications (social posts, banners, emails) [attached images]. Evaluate our visual identity consistency: are colors constant? Is typography uniform? Is the graphic style recognizable? Identify deviations and propose fixes.”
A landing page lends itself to the same exam, with one additional decisive criterion: message comprehension in under five seconds, which matches a visitor’s real-world decision window.
Example prompt: “Here is a screenshot of our landing page [attached image]. Analyze it from a marketing perspective: does the visual hierarchy guide users to the CTA? Are trust signals visible? Does the design inspire confidence? Is the message clear in under 5 seconds?”
Analyzing visual performance
Analysis becomes significantly more useful when confronted with hard numbers. A banner getting a 2.3% CTR versus 1.1% for its competitor has identifiable reasons for winning: by providing results, you ask for an explanation, not an aesthetic opinion.
Example prompt: “Here are 2 versions of our ad banner [attached images]. Version A has a 2.3% CTR, Version B has 1.1%. Analyze the visual differences between the two and explain why Version A performs better. Suggest angles for an even higher-performing Version C.”
Creative intelligence works on the same principle, scaled to a month of accumulated screenshots. Graphic trends are rarely visible one by one; they emerge when you look at five ads together.
Example prompt: “Here are 5 ads that caught my attention this month [attached images]. Identify common creative trends: graphic styles, color palettes, composition techniques, typographic approaches. How could we integrate these trends into our own communications?”
Limits of AI vision
Keep four limitations in mind. Small or heavily stylized text may be misread, skewing data extraction from busy infographics. Cultural context sometimes escapes analysis: a reference obvious to a French audience might go unnoticed. Aesthetic judgment remains subjective, so the output serves as a discussion starter, not a final verdict. Finally, do not share visuals containing confidential information—an unpublished results slide or an NDA-protected mockup has no place in a prompt.
Key takeaways
- Mistral’s vision lets you analyze ads, infographics, and brand visuals directly in Vibe
- Visual benchmarking of competitors reveals their creative strategies and your differentiation opportunities
- Visual consistency audits ensure a strong, recognizable brand identity
- Combine visual analysis with performance data for informed creative decisions
- Use vision as a decision-support tool, not an absolute judge of creative quality