News & Updates

Product update: Automated Audits and Modern Benchmarks

August 24, 2026
junbi interface displaying Sendō running an automated YouTube ABCD check with video attention scores.
Daan van der Wiele
Written by

Daan van der Wiele

Co-Founder, Marketing & Product

Table of Contents

Today, Sendō takes another step forward. We are expanding Sendō's capabilities to evaluate your video assets directly against YouTube's core creative principles and your own brand rules. We also updated our benchmark database with thousands of recent YouTube ad creatives. Finally, Sendō's brain was also upgraded!

Here is a detailed breakdown of what is live in junbi per today.

An improved Intelligence engine: Sendō now uses Gemini 3.6

Complex video analysis requires powerful reasoning. Sendō now runs on Gemini 3.6 to give you faster and deeper insights into your creative assets. This upgrade significantly improves how Sendō understands visual context and narrative structure.

  • Sharper Reasoning: Sendō processes your attention heatmaps and frames with greater accuracy.
  • Clearer Feedback: You receive precise and actionable recommendations to improve your assets.
  • Automatic Integration: Every new prediction instantly benefits from this upgraded intelligence.

Modern Feed Accuracy: Expanded Category Benchmarks

Predictive accuracy relies on relevant, modern comparison data. To ensure your percentile rankings reflect current feed environments, we updated our reference pool with thousands of recent YouTube ad creatives across commercial categories.

  • Updated Standard Reference: All new uploads compare against recent ad creative standards.
  • Sharper Percentile Accuracy: Expanded sample sizes provide precise percentile distribution for your ad breakthrough and brand attention scores.
  • Automatic Integration: Every new prediction automatically uses the updated benchmark dataset.

Proven Frameworks: Automated YouTube ABCD Audits

Evaluating creative assets against platform best practices usually requires manual checklists and subjective review. Sendō now automates this process directly inside your prediction dashboard.

You can now run instant YouTube ABCD audits to evaluate your ad against four core effectiveness pillars:

  • Attention: Verifies if your visual hook holds focus during the first 0 to 3 seconds.
  • Branding: Checks logo placement, timing, and visual prominence.
  • Connection: Analyzes narrative pacing and visual structure to keep viewers engaged.
  • Direction: Identifies visual and audio calls to action (CTAs).

Sendō scans your video frames and attention heatmaps to deliver immediate feedback on where your ad aligns with YouTube's established creative standards.

Precision Alignment: Check Brand Guidelines (Beta)

Maintaining brand consistency across multiple campaign variations is difficult. Our upgraded detection system allows Sendō to verify whether your visual assets and text align with your exact brand rules.

  • Automated Asset Detection: Sendō checks logo usage, font treatments, and color schemes against your brand configuration.
  • Flagged Timestamps: If an asset deviates from your guidelines, Sendō highlights the exact second in the video, allowing editors to make quick adjustments.

This feature is currently available in Beta for Premium subscribers.

Getting started

1. Using the ABCD audit

  • Run your prediction as usual, using an account that has access (contact your customer success manager to gain access).
  • On the Prediction Result page, click the Sendō button in the bottom right corner.
  • Use /ABCD to run your ABCD framework audit.

More information on Sendō can be found on our knowledge base.

2. Using the brand guideline checker

  • To gain access to the brand guideline checker, please contact your customer success manager, as we first need to add your.
  • Once added, run your prediction as usual.
  • On the Prediction Result page, click the Sendō button in the bottom right corner.
  • Use /guidelinecheck to run your brand guide line check.

A full step by step can be found on our knowledge base.

Housekeeping & Improvements

  • Improved Loading Times: We significantly improved the loading time of the prediction pages to deliver near-instant results.
  • Bug Fixes: We resolved visual discrepancies in the UI.

These new features are available in the junbi platform as of today.

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