# Emotion AI tools that analyze emotional responses in marketing content, images, and video before customer launch

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I'm researching Emotion AI tools marketing teams use to pressure-test creative before it goes live — specifically ones that handle images and video, not just text copy. Looking at the <a class="a a--md" elv="true" href="https://www.g2.com/categories/emotion-ai">Emotion AI category</a>, <strong>EchoDepth</strong>, <strong>FaceReader Online</strong>, and <strong>Decode</strong> come up most for pre-launch creative testing.</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/echodepth/reviews"><strong>EchoDepth</strong></a> (4.8/5, 6 reviews) — Built specifically for "emotional decision intelligence," analyzing involuntary facial signals from video to score creative and marketing content before launch, distinguishing surface-level approval from genuine response.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/facereader-online/reviews"><strong>FaceReader Online</strong></a> (4.3/5, 10 reviews) — Facial coding and webcam eye tracking used by advertising experts to measure real reactions to content and improve campaign impact before it ships.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/entropik-decode/reviews"><strong>Decode</strong></a> (4.5/5, 48 reviews) — Includes "Predictive Creative Analytics" with real-time eye-gaze tracking and attention measurement specifically for creative optimization ahead of launch.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/opsis-emotion-ai/reviews"><strong>Opsis Emotion AI</strong></a> (4.7/5, 3 reviews) — Multimodal (facial, speech, text, posture) emotion classification, useful for testing video and audio creative together rather than separately.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/ab-tasty/reviews"><strong>AB Tasty</strong></a> (4.4/5, 415 reviews) — Emotions-based segmentation for live experimentation; less pre-launch testing, more real-time optimization once content is already running.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For teams doing pre-launch emotional testing: has it actually changed creative decisions, or does it mostly confirm what the team already suspected?</p>

##### Post Metadata
- Posted at: about 2 months ago
- Net upvotes: 1


## Comments
### Comment 1

Really useful list. I&#39;d add that a strong reaction isn&#39;t always the right reaction. The best test is whether the emotion people feel matches the one the brand intended, not just how intense it is

##### Comment Metadata
- Posted at: about 1 month ago
- Author title: AI Principal Analyst | AI Market Strategy + Buyer Intelligence | Defining Emerging AI Markets





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