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Generate high-performing ads, copy, and content for 100k+ audiences with AI trained on the minds of millions of real people.
Luxury Lifestyle Seekers
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Powered by the psychology of 100K+ real audience profiles.
Used by marketers, founders & creators to build high-performing content.
From the community
This is what creating with your audience in mind actually looks like.
Elaris helps brands connect with real psychological segments — built from how people actually think, feel, and act.
Mindfulness & Meditation SeekersSensitive Altruists37M people in this segment
Utah Gen Z TikTok UsersConfident Socializers490M people in this segment
Gen Z TikTok UsersVisionary Achievers7.2M people in this segment
Eco-Conscious ConsumersRisk-Adverse Improvisers41M people in this segment
Same prompt, 300% better results.
92% of marketers say generic AI content feels off-brand or doesn't convert. Elaris fixes that by using real psychological profiles of millions of consumers.
Make an Instagram ad that will convert our ideal customers at Nike
310kLikes
0.6%CTR
$1.60CPC
Actual image generated by ChatGPT
| |
|---|---|
| Audience‑Specific Insights | Generic, not based on actual brand audience |
| Psychological Trait Percentiles | No access to proprietary psychological data |
| Behavioral Forecasting Based on Real Users | Only theoretical or heuristic‑based predictions |
| Data‑Driven Personalization | Uses generalized language models |
| Actionable Marketing Recommendations | General frameworks without empirical grounding |
620kLikes
2.5%CTR
$0.55CPC
Actual image generated by Elaris
 | |
|---|---|
| Audience‑Specific Insights | Tailored to real consumer profiles (e.g., Nike audience) |
| Psychological Trait Percentiles | Provides exact rankings (e.g., 71st percentile for “Mastery”) |
| Behavioral Forecasting Based on Real Users | Yes, based on Solsten’s psychological dataset |
| Data‑Driven Personalization | Custom predictions using first‑party data |
| Actionable Marketing Recommendations | Specific to audience motivations and barriers |
| | |
|---|---|---|
| Audience‑Specific Insights | Generic, not based on actual brand audience | Tailored to real consumer profiles (e.g., Nike audience) |
| Psychological Trait Percentiles | No access to proprietary psychological data | Provides exact rankings (e.g., 71st percentile for “Mastery”) |
| Behavioral Forecasting Based on Real Users | Only theoretical or heuristic‑based predictions | Yes, based on Solsten’s psychological dataset |
| Data‑Driven Personalization | Uses generalized language models | Custom predictions using first‑party data |
| Actionable Marketing Recommendations | General frameworks without empirical grounding | Specific to audience motivations and barriers |