When customers ask ChatGPT, Gemini, Claude, or another AI platform to recommend a business, simply ranking well in Google may no longer be enough. In this episode of The Unlearning Lab, host Mike Downer talks with Kevin Wosmansky, founder and CEO of JAR Consulting Group, about how AI evaluates businesses and why LLM reputation management is becoming an important part of digital visibility. The key takeaway is simple: AI needs clear, consistent evidence about who a business is, what it does, where it operates, and why customers should trust it.
AI Recommendations Depend on Understanding and Confidence
According to Kevin, when someone asks an AI platform for the “best” company for a particular service, the system is trying to understand the person’s intent and return an answer it has enough confidence to support.
Depending on the platform and question, that answer may be informed by websites, search results, reviews, directories, authoritative sources, and other information available online. This means visibility alone is not the entire goal.
As Kevin explains, businesses should ask three questions: Does AI know who you are? Does it understand what you do? Does it consider you credible?
That credibility may be supported by information spread across a company’s broader digital footprint rather than one optimized webpage.
Does Strong SEO Guarantee AI Visibility?
A strong SEO foundation helps, but it does not guarantee that an AI platform will recommend a business.
Kevin describes the relationship as “yes and no.” Businesses performing well organically already have useful signals in place, including crawlable webpages, relevant content, and established online authority. However, good Google rankings do not automatically translate into citations or recommendations from large language models.
Traditional SEO still matters. In its guidance for AI-powered search experiences, Google emphasizes making content accessible to crawlers and creating useful, original information rather than relying on special AI-specific optimization tricks.
The larger shift is that businesses now have to think beyond individual rankings and consider how clearly their overall online presence communicates expertise, relevance, and legitimacy.
Why Consistency Across the Web Matters
AI needs enough information to connect a business with its services, location, expertise, and reputation.
Kevin points to websites, social profiles, directories, reviews, YouTube, media appearances, podcasts, and independent third-party references as pieces of that digital footprint. Repeated, consistent information can make it easier for systems to understand the business as an identifiable entity.
Even basic organizational information matters. Google’s Organization structured data documentation recommends clearly identifying details such as a company’s name, address, telephone number, website, logo, and other information that helps search systems understand an organization.
Independent reputation sources can add another layer of evidence. Organizations such as the Better Business Bureau maintain business profiles, reviews, complaint information, and other marketplace data that consumers can use when evaluating companies.
The goal is not simply to appear everywhere. The information across those sources should consistently describe the same company, services, expertise, and location.
Real Expertise Creates Stronger Digital Evidence
One of Kevin’s strongest points is that businesses should demonstrate actual expertise rather than relying entirely on generic content.
“A knowledgeable business owner can answer a question for ten minutes in a way that a generic writer couldn’t answer authentically,” he says.
Firsthand stories, detailed explanations, case studies, interviews, and expert commentary give companies opportunities to create information that competitors cannot easily duplicate.
This aligns with Google’s guidance for creating helpful, reliable, people-first content, which encourages original information, firsthand knowledge, clear sourcing, and demonstrable expertise.
AI can still help businesses research, organize, or produce content more efficiently. The problem comes when automation replaces real insight. Large volumes of generic content do little to establish why a particular company should be viewed as an authority.
Why Good Businesses Can Still Be Invisible to AI
A legitimate company can provide excellent service and still have a weak presence in AI-generated answers.
Kevin describes the missing ingredient as “digital evidence.” Businesses need enough publicly available information to demonstrate that they are established, knowledgeable, and credible.
Weak websites, thin service pages, limited original content, few reviews, and little expert commentary can all make it harder for AI systems to understand a company.
That creates an important distinction between real-world reputation and digital reputation. A company may be well known to existing customers while still giving search engines and AI platforms very little information to work with.
Start by Measuring Your Current AI Visibility
For businesses that rarely appear in AI recommendations, Kevin advises against immediately publishing hundreds of new articles.
Instead, start with a baseline.
Search for the questions customers actually ask. See which companies AI recommends. Check whether your business appears, how it is described, what sources are cited, and where competing companies have stronger evidence.
From there, businesses can identify whether they need stronger service pages, more expert content, better reviews, clearer company information, more third-party mentions, or a stronger overall SEO foundation.
Ultimately, effective LLM reputation management begins with understanding the reputation and evidence AI systems can already find. As Kevin summarizes, “You cannot improve your AI visibility until you understand your current AI visibility.”
FAQs
Can Good Google Rankings Help a Business Appear in AI Recommendations?
Yes. Strong SEO improves discoverability and authority, but high rankings alone do not guarantee AI recommendations.
What Information Should AI Understand About a Business?
It should clearly understand the company’s identity, services, service area, expertise, and credibility.
Do Online Reviews Matter for AI Visibility?
They can. Reviews provide third-party evidence about customer experiences and a company’s broader reputation.
Can Podcasts Help Establish Authority?
Yes. Podcasts allow business owners to demonstrate firsthand knowledge and create original expert content that can strengthen their digital footprint.
Should Businesses Mass-Produce AI-Generated Articles?
Not as a shortcut to visibility. Content should provide useful, original information and genuine expertise regardless of whether AI assists with production.
Where Should a Business Start Improving AI Visibility?
Begin by testing relevant customer questions across AI platforms and documenting whether the business is mentioned, recommended, cited, or accurately described.
