Sora Prompt for Defining a Brand Positioning
Sora, OpenAI's video generation model, opens up unprecedented possibilities for defining and testing a brand's positioning. Rather than staying abstract, you can now concretely visualize how your positioning comes to life through video sequences: mood, tone, visual universe, target in context. By generating videos that embody different positioning axes, you gain a powerful decision-making tool. You instantly see whether your premium, accessible, disruptive, or institutional positioning works visually. This approach enables you to validate positioning hypotheses before investing in actual production, create dynamic moodboards to align teams, and test the emotional resonance of your brand with stakeholders. Whether you are launching a new brand, repositioning an existing product, or exploring a new market segment, Sora transforms a often abstract strategic exercise into a tangible, shareable visual experience.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Generate a 10-second video illustrating the brand positioning of a [INDUSTRY] company targeting [TARGET_AUDIENCE]. The mood should reflect a [premium / accessible / disruptive / artisanal] positioning. Show a character matching the target (age, style, environment) interacting with the product/service in a [USE_CASE_CONTEXT] context. Lighting is [natural and warm / clean studio / urban high-contrast], the color palette revolves around [BRAND_COLORS]. Camera movement is [slow and cinematic / dynamic and immersive / steady and documentary]. The dominant emotion to convey is [trust / desire / belonging / freedom]. No text on screen, the video should communicate the positioning solely through imagery.
Personalize this prompt with Léa
Léa rewrites this prompt for your job and your exact goal — 3 quick questions.
Why this prompt works
This prompt works because it structures the request around the four pillars of visual positioning: the target embodied, the usage context, the aesthetic universe, and emotion. By forcing a choice among specific options (type of positioning, lighting, camera movement), it requires crystallizing strategic decisions that are often left vague. The ban on on-screen text ensures the positioning is truly carried by the image, the ultimate test of its consistency.
Use Cases
Variants
Expected Output
You get a short video that visually embodies your positioning: a character representative of your target, in an environment consistent with your brand universe, interacting with your offering in a way that conveys the chosen strategic emotion. This video serves as a shareable visual reference to align marketing teams, creatives, and management on what the positioning means concretely. By generating multiple variants with different axes, you can compare and choose between several strategic directions.
Frequently Asked Questions
How to use Sora to compare multiple positioning axes?
Generate one video per positioning axis, modifying only the strategic variables (type of positioning, emotion, visual universe) while keeping the same industry and target audience. For example, for a coffee brand, create a 'premium artisanal' version (roasting workshop, warm lighting, slow gestures) and an 'urban accessible' version (lively coffee shop, bright lighting, fast pace). A side-by-side comparison immediately reveals which positioning resonates best with the desired identity and allows you to make decisions based on concrete visual evidence rather than abstract concepts.
Can Sora replace a traditional positioning study?
No, Sora doesn't replace a positioning study but powerfully complements it. The strategic analysis (market research, competitive mapping, identifying consumer insights) remains essential upfront. Sora comes in downstream: once your positioning hypotheses are formulated, it lets you bring them to life visually to test, share, and refine them. It's a visual prototyping tool for positioning, not a strategic analysis tool. Its real power is narrowing the gap between written strategy and creative execution.
How to ensure the generated video accurately reflects the intended positioning?
Three levers ensure fidelity to the positioning. First, be explicit about the dominant emotion—it's the core of the positioning and what Sora translates best visually. Second, describe the target character by their psychographic attributes (values, aspirations) rather than just demographics, so that body language and context remain consistent. Third, iterate by adjusting just one variable at a time: if the result seems too premium, tweak the lighting or environment without changing everything. After each generation, ask yourself: if I show this video without context, will my audience intuitively understand what the brand stands for?
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Pour un rendu plus net dans Sora, remplacez les adjectifs généraux par des descriptifs physiques : précisez le plan (gros plan, plan large), la texture (grain argentique, lisse), l'action exacte du personnage. Testez aussi 2-3 variantes de palette et de mouvement pour valider l'émotion dominante avant de lancer la version finale.
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