Analyze this post asset pack and predict engagement, sentiment, saliency, benchmark gap, and actionable pre-launch improvements.
Glassmorphism analytics
Post Content Simulator
Upload your creative assets to simulate audience engagement and sentiment response before going live.
Predictive analytics for post performance, saliency, and audience psychology.
The report blends creative review, behavioral scoring, and market context into one decision surface so teams can tune the post before publishing.
Primary input
+3
caption-draft.txt
The vitals
Predictive scores for the post
Engagement Probability
78%
Predicted share of followers who will interact.
78%
Probability
Virality Score
64
Potential for the post to be shared or saved.
64
/100
Visual Saliency
91%
How fast the main product catches the eye.
Sentiment Index
Positive
Expected emotional response after first exposure.
Neural activation map
Where the brain responds first
fMRI-based neural simulation: activation peaks in visual cortex (V1/V2/V3) and lateral occipital regions show how your content drives real brain responses before publishing.
3D neural activation
Predicted cortical response to content
fMRI-based commentary
Simulated preference signal
Visual cortex + lateral occipital activation suggests fast positive attention in the first seconds.
Strong object clarity and composition support fluency, which often correlates with perceived quality.
Moderate prefrontal engagement indicates decision friction; simplify CTA wording to improve instant trust.
If headline-to-product contrast is increased, simulated saliency becomes more stable across mixed audiences.
Psychographic impact analysis
The feeling section, rewritten as behavior science
The charting here maps motivation, clarity, and CTA pressure so you can see how the creative behaves in the mind before it is published.
Radar chart
Psychographic metrics
Caption sentiment breakdown
Tone: professional vs. casual
Readability
Medium
Grade level
8.4
CTA strength
4.8%
Niche benchmarking & competitive gap
Where this simulation sits in the market
Use the market context to compare the post against top performers and the average brand baseline, then see how the first 24 hours may unfold.
Comparison table
Top 10% vs brand average
| Metric | Current Simulation | Top 10% in Category | Brand Average |
|---|---|---|---|
| Avg. Comments | 148 | 212 | 96 |
| Save-to-Reach Ratio | 7.8% | 11.5% | 5.1% |
| Follower Growth Impact | +2.4% | +3.9% | +1.6% |
Dual-axis trend
Simulated performance vs industry standard
Persona conversion probability
Who reacts the most?
This section identifies which audience archetype is most likely to share, buy, or simply watch longer, so you can target the strongest reaction profile.
User profile
The Trendsetter
Most likely to share and amplify the aesthetic.
85%
User profile
The Skeptic
Needs stronger proof before buying.
30%
User profile
The Lurker
Watches closely, but interacts less often.
High view time
Audience emotion flow
Emotion clusters from the simulated response
Excitement
88%
Curiosity
79%
Trust
74%
Inspiration
63%
Skepticism
36%
Urgency
58%
Reaction intensity
Global audience pull
Multi-agent response simulation
10 agents respond to the initial prompt
Each agent simulates a distinct evaluation role for the same starting prompt, so you can compare aligned and conflicting viewpoints before deciding.
Hook architect
Flare
Optimizes first-impression speed and repost probability.
Simulated response
"Lead with the strongest product frame in the first slide and cut caption length by 20%. That should improve opening retention and save intent."
Proof inspector
Quill
Scans for credibility gaps in proof and claims.
Simulated response
"The concept is attractive, but conversion risk remains high without proof anchors. Add a concrete metric or customer quote near the CTA."
Trend cartographer
Tide
Reads platform-native behavior and audience trend fit.
Simulated response
"Visual language is trend-aligned for premium lifestyle feeds. A comment-bait question in line 2 can lift meaningful discussion."
Voice steward
Crest
Protects long-term tone consistency and voice signature.
Simulated response
"Design language matches brand DNA, but the CTA reads generic. Replace with your brand phrase pattern to improve recall."
Emotion decoder
Prism
Evaluates dominant emotional arc and friction points.
Simulated response
"Current tone lands on curiosity and aspiration. Add one certainty cue such as guarantee wording to reduce last-step hesitation."
Conversion mechanic
Bolt
Balances awareness lift with downstream action quality.
Simulated response
"Top-funnel performance should be strong, but purchase intent is underpowered. Add a quantified benefit and deadline phrase to boost action."
Attention tracer
Sable
Tracks eye-path flow and perceptual clarity.
Simulated response
"Primary attention lands correctly on the product, but corner clutter slows scan speed. Increase local contrast in the lower-left zone."
Category comparator
Mint
Compares expected outcomes with top-decile competitors.
Simulated response
"You likely beat category average reach, but save-to-reach may lag category leaders. Sharpen the core promise into one memorable line."
Comment strategist
Orbit
Improves two-way conversation quality in comments.
Simulated response
"Audience will react, but discussion depth may stay shallow. Add a polarizing but safe question to increase comment quality."
Release arbitrator
Nudge
Turns mixed signals into publish-now decisions.
Simulated response
"Publishable for awareness campaigns today. If conversion is the priority, revise copy and proof blocks first, then launch tomorrow."
AI-powered optimization suggestions
Conclusion and next action
The final block resolves the analysis into a direct recommendation, so the simulation ends with an actionable decision rather than scattered notes.
Caption
Increase urgency by adding a limited-time offer keyword.
Visual
Brighten the shadows in the bottom-left corner to increase clarity.
Timing
Best time to post: Tuesday, 7:00 PM (GMT+7) for maximum reach.
Final verdict
Recommendation
READY TO POST
Strong saliency, positive sentiment, and above-average benchmarking suggest the concept is launch-ready with only small copy and lighting refinements.
Confidence
87%
Risk
Low
Decision
Ship