Answer Engine Optimization: How AI Is Changing Search for B2B Brands

When it comes to digital marketing in 2026, many small to mid-sized business leaders find themselves overwhelmed by the tumult of dying SEO tactics and disruptive AI tools. 

Most owners are still optimizing for a version of search that prioritizes clicks, yet they are increasingly finding themselves in a “zero-click” search environment.

On a recent episode of B2B Business Class, host Robb Conlon spoke with Patty Dominguez, Founder of More Leverage Solutions, about cutting through the noise to reach the leading edge of discoverability: Answer Engine Optimization (AEO).

The Shift from Search to Answers

AEO, often otherwise known as Generative Engine Optimization (GEO), represents the next evolution of traditional SEO. 

While SEO is not dead, the way users find information is redefining the market.

Large Language Models (LLMs) like ChatGPT, Claude, and Grok are increasingly becoming the primary search tools for younger generations. 

Some estimates already find that nearly half of Gen Z and Millennials now prefer these platforms over Google.

“People are going into the ChatGPTs of the world and making real decisions on who to trust, who to call, [and] who to ignore based on what the outcome is that they see,” Patty explained. 

To be the brand of choice in this environment, businesses must provide the credible signals these machines require.

The Roadmap to AI Visibility

For a business to become AI-visible, it must move beyond “fuzzy positioning”.

“What’s the problem that you solve?” Patty posed to business leaders trying to navigate this undiscovered country. “That has to be standardized and cohesive and harmonized wherever you are.”

Patty outlined a non-technical roadmap focused on three critical layers of digital presence:

• Brand Identity Standardization: AI struggles with inconsistent data. Your business name, address, and problem-solving description must be harmonized across all platforms, from your website and LinkedIn to your podcast bio.

• Schema Structure: If your website lacks schema, Patty argues it is effectively dead because AI cannot crawl it efficiently. Adding a JSON snippet of code provides the “AI context” needed to understand your brand’s structure and expertise.

• Voice Optimization: As user behaviors shift toward organic voice searching, keyboards may eventually become obsolete. Utilizing voice-specific schema signals to AI that your content is ready to be pulled into a verbal answer.

Building Credibility Through Authentic Community

One of the most powerful trust signals for AI isn't a paid advertisement, but firsthand human experience found on platforms like Reddit. 

Since AI places significant weight on peer discussions, showing up as a helpful expert in these communities can act as a “killer trust signal,” as Patty put it.

“AI is going to show the receipts for you,” Patty noted. “It's only going to pull you up if you are credible and not just a flash in the pan.”

She encourages business owners to build their personal brands in parallel with their companies, even suggesting that leaders establish “author schema” pages and WikiData entries to anchor their authority in high-trust databases.

“If you are writing blogs, if you are writing content, then… you should have a page that's only about you as an author with your credibility signals, your background, all the other things: the praise, the accolades, et cetera.”

By fixing these foundational blueprints now, businesses can take advantage of a strategic two-year window before AEO reaches mass-market saturation.

For more insights from Patty Dominguez, you can listen to this episode of B2B Business Class on Spotify, Apple, or wherever you get your favorite podcasts