Module IV: Psychographic Layer

Semantic Content & Audience Fit

Deep psychological fit. Multi-modal embedding similarity and demographic mapping reveal true audience-product alignment.

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Output

What You See

Sample output and dashboard views from this module.

Dashboard: Semantic Alignment score; Keyword Overlap Matrix (e.g. Outdoor Active Gear vs Style); Demographic Mapping (42% 18-24, 52% female; US 56%, UK 20%); Audience-Product Alignment score with vector-based explanation. Links to Market Fit and Strategic Guidance.

Scenario

Use Case

A concrete scenario where this module delivers value.

Content lead needs to pick creators for a premium skincare launch. Psychographic Layer shows semantic alignment and keyword overlap - one creator's audience scores 0.89 on alignment with 'wellness, routine, premium'; demographic mapping confirms 52% female, 38% 25-34. Strategic Guidance surfaces 'why this matches' for the board.

Module IV

How It Works

The mechanics that make this module unique.

Semantic Alignment

Multi-modal embedding similarity. Content and audience vectors align in high-dimensional space - computable fit, not demographic guesswork.

  • •Multi-modal embedding similarity
  • •Content-audience vector alignment
  • •High-dimensional fit computation

Keyword Overlap Matrix

Niche keyword resonance. E.g. Outdoor Active Gear vs Style - understand where your product lives in semantic space.

  • •Niche keyword resonance mapping
  • •Semantic space positioning
  • •Category overlap analysis

Demographic Mapping

Age/Gender (42% 18-24, 52% female), Geographic Heatmaps (US 56%, UK 20%, CA 8%). Ground truth for targeting decisions.

  • •Age/Gender distribution - e.g. 42% 18-24, 52% female
  • •Geographic Heatmaps - US 56%, UK 20%, CA 8%
  • •Targeting ground truth

Computational Empathy Output

Deep psychological fit from Translator intent and DNA persona vectors. Beliefs, resistances, and audience-product alignment - not just demographics.

  • •Intent and sentiment from Translator layer
  • •Persona vectors from DNA for computable fit
  • •Strategic Guidance consumes for 'why this matches'

Keyword Overlap & Niche Resonance

Where your content and audience semantics align. E.g. Outdoor Active Gear vs Style - understand overlap and gaps for content strategy.

  • •Niche keyword resonance mapping
  • •Semantic space positioning for content and product
  • •Feeds Market Fit and Strategic Guidance

Audience-Product Alignment Score

Single score for fit between creator audience and product. Vector distance and direction - computable, explainable.

  • •High-dimensional fit from DNA layer
  • •Explained in plain language by Strategic Guidance
  • •Deterministic execution on validated alignment

Command Center

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Each module delivers a distinct dimension of intelligence. Continue your journey through the stack.

III. Integrity LayerV. Market Fit
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