NEO OS: Agentic AI Applications
The NEO OS doesn’t just analyse; it acts. It is an agentic AI system that diagnoses, simulates, and generates with the same autonomy and intent as the fully agentic consumers who are reshaping economies.
1. NEO Brand Diagnostic
An agentic diagnostic that evaluates how your brand lives in culture and whether it resonates with consumers who act with full agency. Using proprietary NEO-AI, it assesses your brand’s symbolic clarity, emotional triggers, and cultural fluency — not as static measures but as live signals. The output is more than a scorecard: it is an autonomous evaluation that shows where your brand is aligned, where it is at risk, and how it can act to earn trust and cultural authority.
2. NEO Creative Diagnostic
A next-generation AI tool that critiques and optimises creative work through the lens of the NEO mindset. It evaluates websites, campaigns, and assets across dimensions such as Emotional Magnetism, Conceptual Strength, and Cultural Relevance — but not in abstraction. Powered by agentic AI, it acts as an intelligent counterpart, showing how real consumers in the liquid present will feel, respond, and adapt. The result is practical creative guidance that strengthens emotional impact and future-proofs engagement.
3. NEO Proposition Engine
A generative–agentic system that develops brand and product propositions aligned to the psychology of NEOs. It doesn’t just rephrase or optimise text. It interrogates propositions against core drivers — authenticity, emotional resonance, cultural context, and symbolic differentiation — and generates new formulations that act with clarity and intent. The outcome is not more words, but sharper market positions and propositions that are believable, memorable, and agentic.
4. NEO Customer Tagging
Agentic recognition that empowers businesses to identify and act on consumer psychology in real time. NEO Tagging distinguishes whether your customers are NEO, Aspiring NEO, or Traditional — not as a demographic label, but as a mindset classification that reveals how they will think, feel, and act.
Light Tagging: A rapid, low-friction method for classifying customers using rule-based NEO-AI logic applied directly to existing CRM fields. It delivers actionable directional insight without heavy integration or compliance hurdles. Ideal for pilots, proofs of concept, or early-stage strategy development, Light Tagging gives organisations a fast entry point to agentic segmentation.
Strong Tagging: A precision predictive approach that enriches first-party data with deep NEO psychographic intelligence. Powered by advanced NEO-AI and guided by expert data science, Strong Tagging achieves high confidence in identifying customer mindsets. It enables refined targeting, personalised engagement, and long-term strategic alignment with the agentic consumers driving growth.
5. NEO Performance Simulator
A predictive engine that models outcomes before a campaign is launched. It uses NEO-AI to simulate how different consumer mindsets will respond to messaging, media, and propositions — enabling brands to test, learn, and adapt in advance. More than forecasting, this is agentic foresight: a closed loop that reduces risk, reallocates spend with precision, and ensures campaigns act with intent before they meet the market.
6. NEO Customer Mapping
A powerful AI-driven geographic mapping tool that accurately identifies and visualises NEO density across Australia at street-level detail. Specifically developed for optimised location planning, targeted local area marketing (Out-of-Home, BVOD, cinema, events), and strategic resource allocation, this tool ensures your marketing and operational investments align precisely with areas of highest NEO concentration and opportunity.
Client Input Questions
NEO Creative Diagnostic –
What creative assets do you want evaluated?
(Provide actual assets: visuals, copy, storyboards, campaign concepts, or URLs.)
What emotional or symbolic response are you aiming to elicit from the NEO audience?
Are there specific strategic or brand objectives you are measuring these creative assets against?
Are there established brand guidelines or creative principles we should consider during the evaluation?
NEO Proposition Engine – Client Input Questions
About the Brand / Product Proposition:
What existing brand or product propositions are currently in use?
(Provide specific statements or summaries.)
What primary customer segments does each proposition currently target?
(Demographics, psychographics, behavioural segments, etc.)
What key emotional benefits or experiences do you believe your proposition delivers?
(Identify emotional outcomes you intend to evoke.)
What unique value or competitive differentiation do you want to communicate?
(Clearly define what makes your brand/product distinctive from competitors.)
Are there specific cultural or symbolic narratives you wish your proposition to align with?
(e.g., sustainability, authenticity, innovation, localism, etc.)
What tone of voice or language style best represents your brand?
(Provide brand guidelines or illustrative examples.)
What channels or touchpoints are most critical for delivering this proposition?
(Social media, digital, in-store, packaging, etc.)
Are there internal sensitivities or compliance requirements to consider?
(Regulatory issues, internal brand policies, or communication limitations.)
NEO Performance Simulator – Client Input Questions
About the Campaign / Creative to be Modelled:
What campaign objective are you aiming to achieve?
(Brand awareness, acquisition, retention, upsell/cross-sell, etc.)
What specific creative assets or campaign concepts will you provide for modelling?
(Visuals, copy, messaging, videos, offer details, etc.)
Which NEO profiles or sub-profiles are you specifically targeting with this campaign?
(Hyper NEOs, Super NEOs. All NEOs, Aspiring NEOs, Traditionals. Additional filters e.g. lifestage, gender, etc)
What channels/media mix are you considering for this campaign?
(BVOD, social media, digital display, OOH, etc.)
What is your estimated campaign budget or media investment for modelling?
Have you run similar campaigns previously? If so, can you share historical results and KPIs?
(Response rates, conversion rates, brand lift data, media performance.)
What metrics or outcomes are most important to you for evaluating the campaign’s success?
(ROAS, conversion, brand engagement metrics, or others.)
Are there any external market conditions or competitor activities that might impact the campaign’s effectiveness?
(Key competitor moves, sector trends, market disruptions.)