Dr. Tamara Patzer, creator of AI Suggestibility and the Answer Engine Authority System, was featured as a subject-matter expert on the podcast CX Without the BS, hosted by Brian Nichols, in an episode examining why thousands of small businesses are quietly disappearing from the place their customers now look first: artificial intelligence. The episode is now available to watch at:

The episode follows the true-to-life arc of “Danny Reeves,” a 23-year print shop owner whose phone stopped ringing six months before he understood why. His Google rankings were strong. His marketing retainer was paid. And his business was still dying — because his future customers were no longer searching Google. They were asking ChatGPT, Claude, and Gemini who the best print shop in town was, and AI had never heard of him.

“The blue links, where you have 10 different choices, are gone,” Patzer said on the program. “People now talk to their phone or device and ask real questions, and AI tells them who the expert is. AI is the new gatekeeper.”

Patzer, who coined the term AI Suggestibility in May 2025, defines it as the process by which generative AI tools — ChatGPT, Claude, Gemini, Grok, and Perplexity — surface experts, businesses, products, and answers to users based on verifiable, factual information. It is the discipline of becoming the answer the machine returns, not the link a person has to hunt for.

At the center of her research is a distinction she says most business owners miss entirely: AI suggests — it does not recommend. The two words describe two completely different mechanisms. A recommendation is human. It carries emotion, loyalty, gut feeling, and personal trust — a friend vouching for a friend. A suggestion, in the AI sense, carries none of that. “AI can only suggest, because it’s using real information,” Patzer explained. “It sees entities and verifiable, factual information. No emotional. Only a human recommends.”

That difference is not academic — it decides whether a business is found at all. Generative systems run on structured, confirmable inputs: identity, credentials, documented work, consistent references across the open web. They cannot be charmed, persuaded, or won over the way a human referral can. They can only surface what they can verify. “AI suggests. Humans recommend,” Patzer said. “That difference sounds small — but it decides whether the machine can find you at all.”

The stakes have changed because the front door has changed. Click-through on conventional search results has fallen by more than half as users increasingly accept a single AI-generated answer instead of scanning a page of blue links. The problem, Patzer argues, is that most professionals are still building their entire online presence for human recommendation — testimonials, charm, reputation by word of mouth — while the gatekeeper deciding who gets placed in front of a customer has already switched to suggestion. An expert the machine cannot verify is, for practical purposes, invisible. “The businesses still optimizing to be liked,” she said, “are losing to the ones built to be verified.”

The episode also surfaced a second, faster-moving danger Patzer calls identity collision — the moment AI surfaces the wrong version of a person or business: crediting their work to a stranger, attaching credentials they never earned, or routing their customers to a similarly named competitor in another state. “Nobody could ever take your identity from you — that’s a big issue,” Patzer said. “AI once told people I was an engineer with a degree from a Florida university, based on my first name. I have a master’s in mass communications. That’s identity collision.”

The program connected Patzer’s analysis to a second expert, business continuity specialist Keith Erwood, to make a larger point: the businesses going invisible to AI are often the same ones becoming visible to attackers. Bad actors increasingly use AI to scan for businesses whose digital footprint is decaying — the very signal that a company is exposed. The same blind spot that drains the customer pipeline, Patzer warns, can paint a target on a business for fraud, impersonation, and ransomware.

Her closing guidance to owners is direct: open ChatGPT or Claude, ask who the best provider is in your city, and see whether your business appears at all. “If you don’t come up,” she said, “you’ve got the problem — and you may not find out until your order log is already empty.”

Patzer works with professional, medical, automotive, and legal clients to make verified experts retrievable and accurately represented across AI answer engines through Blue Ocean Authority Publishing and the Answer Engine Authority System.

The full episode of CX Without the BS featuring Dr. Tamara Patzer is available now at https://youtu.be/TW27oM_YXHg.

About Dr. Tamara Patzer

Dr. Tamara Patzer is the founder of TAMI LLC (Total Audience Market Immersion), Blue Ocean Authority Publishing, and the Daily Success Media Network. She is the creator of AI Suggestibility and the Answer Engine Authority System (AEAS), frameworks that help verified experts and businesses become accurately represented in the AI tools customers now use to choose whom to trust. A Pulitzer-nominated journalist, former newspaper editor, and former university faculty member, she has spoken at NASDAQ, the Harvard Faculty Club, Microsoft, and Coca-Cola. She is a member of the Poynter Institute and the Society of Professional Journalists.

Media Contact

To connect with Dr. Tamara “Tami” Patzer, contact info@dailysuccessinstitute.com.

Daily Success Media Network Englewood, FL DailySuccessMedia.com