The Rise of the Brand Manager

For years, Brand Managers have been placed in one of the most complex positions inside the company. Sales wants short-term conversion, marketing wants campaign performance, management wants growth, agencies want creative freedom, and everyone wants results now. In the middle sits the Brand Manager, responsible for protecting something that is commercially critical, but often only becomes visible when it starts to erode: brand equity.

This is not a soft discipline. Kantar’s BrandZ research shows that strong brands outperform the market and recover faster from crises, and that brand value represents 32% of company value among the world’s Top 100 most valuable brands. In other words, brand equity is a financial asset. It influences pricing power, preference, mental availability, resilience and long-term growth.

The problem is that a campaign can hit its short-term targets and still damage the brand. It can generate clicks, lift sales, increase awareness and deliver on the quarter, while slowly weakening distinctiveness, consistency and long-term positioning. Brand Managers know this tension well. They are often the ones asking the unpopular but necessary questions:

Is this still us? Does this build the brand? Are we reinforcing the right associations? Are we training the market to understand us, or are we simply adding more noise?

Until now, that discussion has mostly been about people. How do consumers perceive us? What do they remember? Which associations are we building? What codes make us recognisable in the category? But in 2026, the conversation changes, because brands are no longer only interpreted by humans.They are increasingly interpreted by machines.

AI search is changing the rules of Brand Management. Gartner has predicted that traditional search engine volume will drop by 25% in 2026, as users move parts of their search behavior to AI chatbots and virtual agents. Google has reported that AI Overviews already reached more than 1.5 billion users per month, while Google Lens is used by more than 1.5 billion people every month to search what they see.

AI is becoming a new layer between brands and customers.

That means Brand Managers now have a second audience to manage. Not just consumers, customers, buyers, retailers, stakeholders and employees, but also AI systems that read, summarise, rank, compare and recommend brands based on the signals they can understand. ChatGPT, Gemini, Claude and the next generation of GEO-driven search experiences will not only process brand claims, product descriptions and website copy.They will increasingly interpret the entire brand footprint, including campaign images, lifestyle content, e-commerce visuals, social media, PR assets, employer branding and every recurring visual pattern a brand puts into the world.

This is where the uncomfortable part begins. AI does not care what your CVI and brand book says if your real-world output tells a different story.It does not interpret your strategic intention. It reads the signals you actually publish. If your visuals are inconsistent, generic, trend-driven or disconnected from your brand positioning, that becomes part of how machines understand your brand. Over time, unclear output creates unclear interpretation.

This is why the Brand Manager role is about to rise. Someone needs to protect the meaning of the brand across every touchpoint, not only for human recognition, but for machine interpretation. Someone needs to make sure the brand signals are visible, the values are repeated, the category signals are clear, the emotional territory is consistent, and the visual assets build memory structures instead of noise.

In the GEO era, brand governance is no longer only a question of design systems, tone of voice and campaign consistency. It becomes a question of search visibility, machine readability, recommendation potential and future commercial relevance.

The brands that win will not necessarily be the brands with the most content. They will be the brands with the clearest and most consistent signals.

Because AI will not recommend the brand it vaguely understands.

It will recommend the brand it can read.

Time for Brand Managers to take the lead.

Time to make your brand

Seen
Understood
Recommended

Kantar BrandZ: Strong brands outperform the market and brand value represents 32% of company value among the Top 100 most valuable brands.
https://www.kantar.com/inspiration/brands/10-key-takeaways-kantar-brandz-most-valuable-global-brands-2024

Gartner: Traditional search engine volume predicted to drop 25% by 2026 due to AI chatbots and virtual agents.
https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents

Google: AI Overviews reached more than 1.5 billion monthly users.
https://business.google.com/uk/think/search-and-video/ai-powered-search-marketing/

Google: More than 1.5 billion people use Google Lens every month to search what they see.
https://blog.google/products-and-platforms/products/search/google-search-ai-mode-update/

Adobe: Generative AI traffic to U.S. retail sites grew 4,700% year-over-year in July 2025.https://business.adobe.com/blog/generative-ai-powered-shopping-rises-with-traffic-to-retail-sites