In the Era of AI-to-AI Sales, Brands Succeed with Data and Identity

(SeaPRwire) –   The adoption of personal AI is condensing the consumer decision-making journey into a single dialogue, a shift for which many brands are unprepared. The window for influence, which previously involved numerous touchpoints, is now shrinking to mere seconds.

Furthermore, we are entering an era where AI sells to AI. Companies are leveraging technology to market to digital intermediaries before they can reach the actual consumers. To remain effective, brands must determine how to sway decisions in this new landscape.

The transformation of brand influence through AI

Artificial intelligence is revolutionizing how people make choices. What used to be a time-consuming research process across various websites is being replaced by a single interaction with an AI assistant that understands a user’s specific needs and preferences.

According to Omnicom’s Future of Brand Influence report, 45% of consumers already value AI-driven suggestions more than traditional advertising. Additionally, 70% believe they can gain expertise in any product category simply by using generative AI.

Traditional marketing funnels that separate awareness, consideration, and conversion are becoming obsolete as AI allows consumers to experience all three at once. With decisions happening in an instant, brands have limited opportunities to build trust and maintain relevance in the consumer’s world.

The necessity of AI-to-AI persuasion

There is also the question of who is actually making the decisions. AI assistants are now managing tasks like booking travel, scheduling medical appointments, and handling subscriptions on behalf of users, based on learned preferences.

Brands must now convince these AI intermediaries to influence the end user. As noted in our 2026 CX Trends report, most brands are already using AI to guide customer behavior, meaning algorithms are increasingly interacting with one another. AI must now persuade AI.

Navigating the new rules of AI

To thrive in this environment, brands must exert influence across platforms that operate with immense speed and intelligence. However, obstacles like fragmented systems, outdated organizational structures, and poor data quality often stand in the way.

Organizations need to consider the structural changes required to support AI-driven customer experiences. This includes establishing internal governance, forming AI steering committees, and defining the roles of the CMO and other leaders in shaping AI strategy.

Furthermore, brands should adopt a proactive approach to AI readiness by focusing on four foundational pillars:

Pillar one: Reliable data

While brands possess vast amounts of valuable first-party data, it is often scattered across different teams and systems. Consolidating this information is essential.

The solution is to unify first-party data into a single organizational foundation. By enriching these insights with ethically sourced second- and third-party data, brands can achieve a 360-degree view of the customer. Providing AI with comprehensive data ensures algorithms make better decisions and reduces the likelihood of errors.

Pillar two: Data maintenance

Consumer lives are dynamic, and their data must reflect changes like moving, career shifts, or new interests. Continuous data hygiene is necessary.

A structured approach to data management—including regular cleansing and validation—ensures AI is always working with the most accurate information. High-quality, connected data is a critical component for AI-powered influence.

Pillar three: Identity resolution

Many brands lose track of the customer journey when a user switches between devices or moves from online to in-store. This needs to be addressed.

A robust identity solution that recognizes customers across all environments is vital for connecting data signals. Utilizing interoperable identifiers allows AI to understand individual journeys and provide cohesive, personalized experiences.

Pillar four: Privacy and user consent

Consumers are more aware of their digital footprint and want control over how their data is used. Brands must meet these expectations.

Data governance and privacy are not just legal requirements; they are essential for building trust. Brands must establish transparent practices that ensure data collection is lawful and give customers control over their information before it is utilized by AI.

Winning in the age of influence

As AI adoption grows, the entire business ecosystem is being reshaped. Brands can be present on any screen or platform, but if they fail to appear in the moments that matter to both consumers and their AI assistants, they risk becoming irrelevant. A foundation of connected, permissioned data is the key to the trust and consistency brands need to succeed.

In the era of AI influence, failing to be visible is no longer just a branding issue; it is a threat to a brand’s existence.