Build content that instantly resonates
Generate high-performing ads, copy, and content for 100k+ audiences with AI trained on the minds of millions of real people.
Trusted by top brands, marketers, founders, and content creators worldwide.






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.




Join the community of audience-first creators
Create an Instagram caption for people who like...
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


Actual image generated by ChatGPT
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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
|



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
|