🦄 TL;DR
Brand Analysis Features | Status | Value proposition |
DeepSeek plugged | ✅ Stable | Deepseek available. GPT-4 Turbo has been sunsetted. |
Improved Clustering for Weaknesses & Strengths | ✅ Stable | Enhances clustering accuracy and attribute mapping in perception analysis. |
AI-Generated Suggestions in Analysis Creation Form | ✅ Stable | Auto-suggests brands, competitors, and personas based on prior analyses. |
Brand Name Unification | 🛠 Beta | Reduce error of Brand name capitalisation. Merges brand name variations for consistent data representation. |
Top cited sources | 🩺 Alpha | Identify top-cited websites in AI results by consumer category |
Asset Evaluation Features | Status | Value proposition |
Text Evaluation | ✅ Stable | Enables users to import, compare, and analyze text like images. |
Video Evaluation | 🛠 Beta | Adds video analysis to asset evaluation with full-frame assessment. |
Features status reference
✅ Stable : Version available.
🛠 Beta : Actively being changed and improved based on feedback..
🩺 Alpha : Experimental features. Limited number of users must have access.
🔍 Feature Details
New model plugged : DeepSeek
Presentation: An additional model is now available for all analysis.
Customer Value Proposition: Get new insight based on this model.
more detail here : API references
Removal of GPT-4 Turbo
Presentation: We use only the most widely used open AI model and therefore to delete GPOT-4 Turbo. Data collection using this model has therefore been stopped and the analyses will no longer be fed with it but only with chatgpt-4o
Customer Value Proposition: Get up-to-date perception data that reflects actual usage, using the most appropriate model
more detail here : API references
Top cited sources
Presentation: Identifies key websites cited by AI when searching for a category.
Customer Value Proposition: Helps brands understand wich website are the most cited on a consumer category. Can be used for PR, content partnership, programmatic targeting...
Next Steps: Add more granular analysis by topic and refine UI for better user experience.
Improved Clustering for Share Of Model
Presentation: Upgrades the clustering system to enhance attribute grouping accuracy in perception analysis.
Customer Value Proposition: Provides more precise insights for brands by ensuring attributes are correctly classified, leading to better strategic decision-making. From 5 to 10 clusters are now generated for each analysis.
Brand Name Unification
Presentation: Uses advanced pipeline with 3 steps of validation to merge brand name variations (e.g., AWS vs. Amazon Web Services) for consistent reporting.
Customer Value Proposition: Prevents data fragmentation and ensures accurate brand mention tracking.
Next Steps: Optimize approval mechanisms and improve automation accuracy.
AI-Generated Suggestions in Analysis Creation
Presentation: Suggests brands, competitors, and personas dynamically during analysis setup.
Customer Value Proposition: Simplifies analysis creation and improves accuracy by reducing manual input errors.
Text Evaluation now available in Asset Evaluation
Presentation: Enables users to import and compare text assets, analyze sentiment, and extract key insights.
Customer Value Proposition: Expands asset evaluation beyond images, allowing users to assess textual elements used for website, ads, email...
Next Steps: Enable file uploads (PDFs, Word documents) for broader accessibility.
Video Evaluation beta available in Asset Evaluation
Presentation: Introduces video evaluation, analyzing all frames and providing insights via AI-generated heatmaps.
Customer Value Proposition: Offers brands a way to evaluate video assets like they do images and text, improving marketing asset performance.
Next Steps: Expand support for more video formats and improve file upload experience.