Dickson Realty

Katy Borja is Director of Marketing at Dickson Realty, where she leads digital strategy, brand development, and data-driven marketing initiatives. She focuses on helping organizations adapt to evolving search behavior, AI-driven discovery, and new models of digital visibility.

In an exclusive conversation with MarTech Outlook, Katy Borja shared insights on how AI-powered answer engines are reshaping digital visibility and what marketing leaders must do to remain credible and discoverable.

How AI Is Changing Digital Visibility

For decades, digital visibility meant ranking high in search engines. Today, the goal is different. It is no longer about ranking first it is about being cited in the answer. Search behavior is shifting. Instead of typing short queries and scanning a list of links, people now ask full questions and expect clear responses. AI tools read thousands of sources and deliver summarized answers in seconds. This shift marks the rise of what many now call answer engines.

Instead of directing users to websites, these systems pull information from across the web, compare sources, and present the most credible explanation. When that happens, visibility no longer depends solely on ranking. It depends on whether your insight is strong enough to be referenced. For marketers, this shift fundamentally changes the rules.

AI Is Exposing Weak Marketing

For years, digital marketing rewarded volume. Companies produced blog posts, landing pages, and keyword-focused articles designed to rank in search results. The strategy was simple: publish more content and optimize for the algorithm. That approach does not hold up in an AI-driven environment.

AI systems analyze information across multiple sources simultaneously. They prioritize content that is clear, structured, factual, and credible. Thin content, generic writing, and recycled ideas become easy to ignore.

The hard truth is that many marketers will struggle in this shift not because AI replaces them, but because they refuse to learn how to use it. Chasing algorithms has always been exhausting. It is like running on a hamster wheel. When marketers focus only on gaming the system, they constantly chase the next update or ranking factor. But when the focus shifts to creating useful, data-backed content, something different happens. The algorithms find you.

AI Is More Than a Writing Tool

Many people treat AI like a production machine: write this, summarize that, and generate a caption. But marketers who gain real value from AI use it very differently. They use it to analyze data, identify patterns, and uncover insights that would take humans hours to find. AI can process large datasets, surface trends, and help teams ask better questions.

In real estate marketing, for example, many agents already use AI to draft listing descriptions or social media posts. While helpful, that only scratches the surface.

The real opportunity lies in deeper analysis. AI can help marketers study market conditions, evaluate competitive positioning, and uncover trends hidden within large volumes of data. Those insights can shape strategy in ways manual research rarely could. Used well, AI becomes less like a content generator and more like a research partner.

Authority Now Comes From Being Cited

Another major shift in the AI era is how authority is measured. In the past, brands could claim expertise on their own websites. Publish enough content, and search engines might eventually reward it. But AI systems evaluate trust differently.

“AI can summarize information, but it cannot replicate real experience. That remains the most valuable insight marketers can offer.”

They look for signals across multiple sources. Interviews, expert commentary, media coverage, and third-party references all carry weight. Being cited by others is far more convincing than calling yourself an authority.

This is where earned media and thought leadership become increasingly important. Articles, expert commentary, podcast interviews, and industry insights all contribute to how AI systems evaluate credibility. When multiple credible sources reference the same expert or organization, those signals reinforce authority.

AI can analyze information and summarize knowledge at remarkable speed. But there is one thing it cannot generate on its own: real experience. It cannot replicate firsthand insight from professionals who do the work every day.

That insight matters more than ever. Anyone can generate text with AI. But content grounded in real-world experience, supported by credible data and clear explanations, stands apart. Those are the insights AI systems are most likely to reference.

What Marketing Leaders Should Do Now

The organizations that succeed in this new environment will not be the ones producing the most content. They will be the ones producing the most useful content.

That requires a shift in mindset. Marketing teams should treat AI as a tool that removes low-value work, not as a replacement for thinking. Use it to speed up research, analyze data, and automate repetitive tasks. Then invest more time in what AI cannot replicate: strategy, creativity, and human insight.

Encourage experimentation. Teams do not need to master AI overnight, but they should find ways to use it regularly. Even discovering one new use each month builds momentum.

The brands that win in the next era of digital visibility will combine data, experience, and clarity. They will structure their content to answer real questions and offer insights others are willing to reference. In a world of answer engines, visibility no longer belongs to the loudest voice. It belongs to the most credible one.