Ad Testing

Use AI to generate and compare creative hypotheses.

Multiple AI-generated variants are scored by a relevant AI audience panel selected from 34 available personas. Use the leading model result as a candidate for live testing, not as a guaranteed winner.

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Ad Creative

-- Attention

-- Click Intent

-- Risk

Your ad budget deserves better than guesswork.

Wasted spend is the default

Live ad performance varies widely. Model exploration can help prioritize creative candidates, but observed results require a controlled live test.

Focus groups lie

People say they'd click, then scroll right past. Stated preferences don't predict actual behavior. You need reactions, not opinions.

A/B testing is expensive

Live testing requires traffic, time, and budget. Use model exploration only to prioritize candidates; live evidence determines performance.

AI doesn't just test your ad. It evolves it.

Multiple variants compete in each round. We compare model scores and iterate to generate candidates for live testing.

Ad Evolution

Ready to start

Multiple variants generated

AI generates candidate versions of your ad with different angles, hooks, and approaches for model comparison and human review.

Each variant is scored

Variants are evaluated on clarity, persuasion, brand fit, creativity, and CTA strength. The highest scorer wins the round.

Leading variant seeds the next round

The best variant becomes the starting point. New iterations build on it - pushing toward higher scores.

Repeat to explore alternatives

Run additional rounds to generate stronger model-scored candidates, then validate the finalists with real traffic.

Three ways to explore creative before live testing.

Compare model-generated reactions across structured AI audience archetypes before spending on a live test.

Reaction Testing

Will they stop scrolling? Get attention scores, emotional reactions, and first impressions from each persona. Know if your creative captures attention - or gets ignored.

Attention scores by segment
Emotional response mapping
First impression analysis

Funnel Simulation

Model a hypothetical journey from impressions to clicks and conversions. Treat each projected drop-off as a hypothesis for live validation.

Full-funnel modeling
Drop-off analysis by segment
Conversion probability scores

Head-to-Head Testing

Compare ad variations and see which headline, CTA, or creative the model scores more highly for each segment.

Side-by-side comparison
Segment-level leading variants
Model-simulation ranges

Every platform. Every format. Every constraint.

We know the rules for each platform - character limits, CTA options, aspect ratios. Test your ad exactly as it will appear in the wild.

Facebook

Image Video Carousel

Instagram

Feed Stories Reels

Google Search

RSA Extensions

Google Display

Banner Responsive

Compare distinct model perspectives.

Each AI archetype generates a distinct model response based on defined attributes and available brand context.

Structured model reactions

Each AI persona responds from defined attributes such as age, income, life stage, and priorities. Treat differences as hypotheses for live validation.

Segment-level reaction scores
Qualitative feedback quotes
Attention + intent metrics

Model your entire funnel

Model a hypothetical journey and explore where each segment may drop off. Validate projections with observed campaign behavior.

Full-funnel conversion modeling
Drop-off analysis by demographic
Revenue projection estimates

Find leading hypotheses before you spend

Compare multiple headlines, CTAs, and creative concepts across model-generated audience responses, then live-test the strongest candidates.

Multi-variant comparison
Element-level performance
Model-simulation scores

Structured model reactions

Illustrative simulation — figures are fictional model output, not impressions, respondents, or campaign results

Model your entire funnel

Find leading hypotheses before you spend

Insights that drive decisions

Each ad simulation provides model scores, possible objections, and candidate changes to validate with live traffic.

Attention Scores

Explore whether segment-level model scores suggest your creative may capture interest.

Click Probability

Directional, model-estimated click-through rates by demographic for prioritizing live tests.

Objection Surface

What's holding them back? Surface the objections your ad triggers - before they cost you conversions.

Brand Safety

Screen for possible controversy, misinterpretation, or negative-reaction hypotheses before launch.

Emotional Response

Map the emotional journey your ad creates - curiosity, trust, urgency, skepticism.

Positioning Clarity

Is your message landing? See whether each segment understands your value proposition.

"But it's just AI predicting clicks."

Fair skepticism. Here's why it's different.

Our 41 structured AI audience archetypes use defined demographic, behavioral, and psychographic attributes. Their responses remain model-generated and do not establish actual consumer behavior or advertising performance.

Model-simulation ranges summarize variation inside the AI panel. They do not establish a margin of error for real customer behavior.

Structured audience archetypes

Reference-context comparisons

Persistent brand memory

Illustrative demonstration — not a measured prediction or customer outcome