Creating mindshare for brands within human and artificial intellects

Brand Building in the AI Age

Even in the AI era, strong brands leverage classic principles

All Our AI Assistants

At our beckon call, consumers are using AI as personal assistants for nearly every type of task. Your brand is

actively being shaped by users' interactions with AI agents and its recommendations.

The imperative is to shape AI to be your branding agent.

0%
of active users now consider gen AI “a good friend”
0%
of active gen AI users would consider asking gen AI for social and relationship advice
0%
of active gen AI users seek (or would seek) advice on personal development goals

Me, my brand and AI --The new world of consumer engagement

Building resilient relationships between consumers, brands and AI in times of uncertainty.

Accenture Research Report (June 2025).


Brand Interactions

In the Age of Hyper-Personalization

The question of trust, now highly relative, is core. With most online brand interactions as highly specific to an individual, or borderline "creepy", what is the resulting brand experience -- delight or flight?

While quantitative measures (clicks, CTR, engagement) have been proven out; branding contains an important emotional element that drives loyalty. What happens, emotionally, to the consumer exposed to AI generated, individual-centric content? Initial qualitative research shows that consumers, especially GenZ, are dichotomously engaged in a brand, exhibiting emotions of both: intrigue and suspicion*.

Despite consumers' reticence about AI harvesting their personal data to deliver such precise content, the overall brand effect is positive. Consumers demonstrate attraction, connection, and even loyalty to brands presenting personalized advertisements or content*.

A magical experience can be rendered by brands leveraging highly-individualized ads. Touching the heart, generating excitement, or peaking curiosity through individually targeted brand experiences -- for the moment, outweighs consumers' privacy concerns.

* Gen AI – Gen Z: Understanding Gen Z’s emotional responses and brand experiences

with Gen AI-driven, hyper-personalized advertising.

Frontiers in Communication (July 2025)

Classic Branding in the AI Age

Where is traditional branding best practice applied, using AI?

Classic Branding Principle

Brands solve real human needs,

problems or fulfill desire

In the AI Age

Predicting Consumer Preferences

Using GPT-powered predictive modeling, brands can better understand what drives consumer choices—like price, brand traits, and trade-off behaviors. It’s a smart way to complement or even replace traditional focus groups.

Classic Branding Principle

Brands are coherent

across touchpoints

In the AI Age

Contextualized Shopping

When agentic AI is built into tailored shopping environments, it helps make transactions smooth and effortless.

Classic Branding Principle

Brands spur involvement

and are human-centered

In the AI Age

Trusty AI Agents

Generative AI is evolving from helpful tool to trusted guide and personal shopper—reshaping how brands show up in key moments, drive seamless transactions, and build lasting loyalty.

Classic Branding Principle

Brands must be authentic

have human connection

In the AI Age

Being on Brand @ Scale

AI is helping brands move faster and smarter—driving greater marketing impact with less spend, while scaling on-brand visual content that truly connects with customers. Disclosure remains part of the equation.

Classic Branding Principle

Brand design works

when reinforcing meaning

In the AI Age

AI Generated Branding

When fake content backfires on brands, it damages reputation and fuels deeper cultural debates about what authenticity and meaning look like today.

Classic Branding Principle

Brands evoke emotion

or cultural significance

In the AI Age

Emotional AI

Emotional AI enhances brand safety and targeting by aligning with content tone instead of personal data—offering a privacy-respecting approach to deeper consumer connection.

Mind the Gap

Winning brands bridge the gap between human values and technological efficiency.

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