When I wrote Trust Signals: Brand Building in a Post-Truth World in 2022, I wasn’t thinking about artificial intelligence. Not really. ChatGPT had barely launched. The idea that a brand’s visibility might one day depend on whether a machine trusted it hadn’t yet entered the conversation.
What I was thinking about was a problem I’d watched companies struggle with for nearly two decades running Idea Grove: they had accumulated real credibility — good reviews, media coverage, a strong reputation, a website that worked — but they weren’t using it strategically. They were sitting on a pile of trust and letting it gather dust.
The Grow With TRUST system was my answer to that problem. It was a framework for putting trust signals to work in a focused, integrated way — organizing the full range of credibility-building activities under five disciplines, with the goal of helping brands secure trust at scale.
Two years later, AI changed the game. And in doing so, it validated everything the original framework was built on — while making each of its five elements more important, more urgent, and more consequential than ever.
The Trust Signals® Framework is what Grow With TRUST became when AI entered the picture. This post explains the journey.
The origin story of the Grow With TRUST system is, in a sense, the origin story of Idea Grove itself.
I started the agency in 2005 under the worst possible circumstances — jobless, grieving, and trying to launch a business while my family was dealing with serious health crises. The one thing I could bring myself to do was write. So I started a blog on the new Idea Grove website, not as a strategy but as therapy.
Something unexpected happened. Within months, people started calling — prospects who had found the blog through Google searches or links from other sites. By the time they reached out, they already felt like they knew me. My personality, my approach to PR, my sense of humor. I had been laying what I would later call breadcrumbs of trust without realizing that’s what I was doing.
That experience shaped everything I came to believe about marketing. You can build a business without selling — if you can build enough trust. And the tools for building that trust, what I came to call trust signals, were available to virtually any brand willing to use them strategically.
By 2022, I had spent seventeen years building trust signals for Idea Grove clients: media coverage, customer reviews, website credibility, search visibility, thought leadership content. The patterns were clear. The brands that grew consistently were the ones that deployed these signals as part of a coherent system, not as a checklist of disconnected tactics. In May 2020, I launched TrustSignals.com and began using Trust Signals as a brand name in commerce — two years before the book was published, and the origin point of what would become a federally registered trademark.
That’s what the book was about. And that’s what the Grow With TRUST system was designed to formalize.
The TRUST acronym stands for five disciplines:
Each represents a category of trust-building activity. Together, they form a complete picture of what it takes to build a brand people believe in.
The case I made in the book was straightforward: a modern PR agency should be able to deliver all five. Not just media relations. Not just SEO. Not just reputation monitoring. All of it, integrated, with a coherent strategy connecting each discipline to the others.
It was a PR-centric model — rooted in the belief that storytelling and third-party validation were the foundation on which everything else had to be built. You don’t start with a website redesign. You don’t start with an SEO audit. You start with the question: what is your brand’s story, and how do you earn the right to tell it?
Here’s what’s remarkable in retrospect: the original Grow With TRUST system described, almost precisely, how AI recommendation engines work — years before those systems became a dominant force in how buyers find information.
In the book, I described trust signals as “the evidence points that inspire confidence in your brand online.” I traced the concept back to academic research from the year 2000, when internet commerce was in its infancy and the core challenge was convincing buyers to trust a website enough to hand over a credit card number. The tools for doing that — third-party endorsements, credibility markers, clear evidence of legitimacy — were what I called trust signals.
Twenty years later, I argued in the book, the principle hadn’t changed. It had expanded. Trust signals now covered everything from media coverage and customer reviews to website experience, search rankings, and thought leadership content. And the brands that built a comprehensive trust footprint across all of these dimensions weren’t just winning with human buyers. They were winning with Google’s algorithm, too.
The book made the case that Google had essentially become a trust machine — that it rewarded the same signals that human buyers were looking for, and penalized the same shortcuts that human buyers distrusted. Good SEO, by 2022, wasn’t about gaming the algorithm. It was about earning authority. And the best way to earn authority was to do all the things the Grow With TRUST system described: get covered in legitimate publications, earn genuine customer reviews, build a website that actually helps visitors, create content that demonstrates expertise.
What I didn’t fully anticipate was how quickly and completely this logic would transfer to AI.
When large language models like ChatGPT, Gemini, and Perplexity began synthesizing answers from across the web, they weren’t just crawling links. They were, in a very real sense, evaluating trust. They were asking — algorithmically, at massive scale — which brands had the most evidence behind them. Which ones showed up in authoritative publications. Which ones had been reviewed, cited, and recommended by credible sources. Which ones had built, over years of consistent effort, a trust footprint that a machine trained on the web would recognize as legitimate.
The brands showing up in AI-generated answers were, in almost every case, the brands that had been doing the work the Grow With TRUST system described. Not because they had optimized for AI — most of them had never thought about it — but because the things that make a brand trustworthy to humans are, it turns out, the same things that make a brand trustworthy to machines.
When I recognized this convergence, I began thinking about what it meant for the framework. The five disciplines didn’t need to be replaced. They needed to be extended — given an AI dimension that reflected the new landscape buyers and brands were operating in.
Here’s how each element of Grow With TRUST evolved into its corresponding dimension of the Trust Signals® Framework. A note on language: “trust signals” as a general concept has been part of marketing and SEO vocabulary since the early days of internet commerce — it appears in academic literature dating to 2000, and is used descriptively across the industry today. Trust Signals® as used here refers specifically to Idea Grove’s proprietary framework and registered brand, not to the generic concept. That distinction matters, and it’s worth making explicit.
Third-party Validation
Third-party validation was always the foundation of the system. People want to hear what others say about you, not what you say about yourself. That principle hasn’t changed. What’s changed is who “others” now includes.
In the original framework, third-party validation meant media relations, influencer marketing, and online reviews — the human sources that buyers consult when they’re deciding whether to trust a brand. All of that still matters. But in the AI era, it means something additional: these same sources are the primary inputs that AI systems draw on when they’re deciding whether a brand is worth recommending.
A mention in a respected trade publication isn’t just a PR win anymore. It’s a data point that an LLM will find, index, and weight when a buyer asks it what company to trust in your category. Third-party validation has become, quite literally, AI training data for your brand.
Reputation Management
Reputation management took on new urgency when AI entered the picture. In the original framework, it meant monitoring what was being said about your brand and responding strategically — building proactively, preparing for crises, managing the narrative. That work continues to matter.
But AI introduces a new dimension: the narrative that machines have absorbed about your brand. If the dominant story about your company across the web is negative, outdated, or absent, that’s the story AI will tell. Not because it’s being malicious, but because it’s synthesizing from available sources.
In a world where a buyer might ask ChatGPT for a vendor recommendation and receive an answer generated from the accumulated web presence of every company in your category, the brands with the most coherent and positive narrative will win that moment — before the buyer ever visits a website.
User Experience
User experience was always about what happened when buyers arrived at your digital front door. Website design, navigation, content quality, conversion paths — the signals that told visitors whether they’d come to the right place. The original framework described twenty-four specific website trust signals that could make the difference between a visitor who converts and one who leaves.
In the age of AI, user experience has acquired a new layer of significance. AI systems don’t just direct buyers to websites; they also parse websites when building their understanding of a brand. Page structure, content organization, FAQ formatting, schema markup — these aren’t just SEO considerations anymore. They’re factors in how easily an AI can read, understand, and surface your content in a generated answer.
Search Presence
Search presence was perhaps the area where the original framework was most forward-looking, though even I didn’t anticipate how dramatically the search landscape would change. In the book, I made the case that PR and SEO had effectively merged — that the best way to improve search visibility was to earn the kind of authoritative, organically-acquired links that come from legitimate media coverage and genuine industry recognition.
That argument holds, and then some, in the age of AI search. The factors that made brands visible in Google — domain authority, high-quality backlinks from respected publications, strong branded search signals — are precisely the factors that make brands visible in AI-generated answers. Search presence, in the Trust Signals® Framework, means building a coherent authority footprint across both traditional search and the AI platforms that are increasingly the first stop in the buyer’s journey.
Thought Leadership
Thought leadership was always the discipline I felt most personally connected to, for obvious reasons. The entire Idea Grove origin story is a thought leadership story — a blog that built a business by demonstrating expertise and personality rather than selling services. The original framework described thought leadership as the practice of sharing valuable ideas to build trust with audiences: a thought leadership platform, contributed content strategy, and executive visibility working together to establish a brand’s authority in its category.
In the AI era, thought leadership has become the most direct pathway to AI citation. The brands that get recommended by AI systems are, disproportionately, the brands with distinctive, well-documented points of view — original research, genuinely useful frameworks, clearly attributed ideas that appear consistently across authoritative sources. Generic content gets lost in the noise. Original thinking, backed by evidence and distributed through credible channels, becomes exactly the kind of signal that AI systems are built to amplify.
The Trust Signals® Framework is not a replacement for Grow With TRUST. It’s an evolution — the same five disciplines, extended into a world where AI is increasingly how buyers start their search, where machines are evaluating brand credibility at every moment, and where the distinction between building trust with humans and building trust with algorithms has essentially collapsed.
The brands that will win in this environment are not the ones running the most ads. They’re not the ones with the most technically optimized websites, or the most sophisticated CRM systems, or the largest content teams churning out posts. The brands that will win are the ones that have built a genuine trust footprint — earned media in authoritative publications, verified reviews across credible platforms, a website that communicates real credibility, search signals that reflect a brand people actually seek out by name, and thought leadership content that demonstrates genuine expertise.
That’s what the Grow With TRUST system was designed to build in 2022. That’s what the Trust Signals® Framework is designed to build today.
The insight that launched the framework — that trust signals are the foundation of brand authority, not a collection of badges to slap on a checkout page — has turned out to be more durable than I expected. Not because I was particularly prescient, but because the underlying principle was right: trust is trust. Whether it’s a human buyer deciding whether to request a demo, or a large language model deciding which brands to recommend in response to a query, the evidence that gets evaluated is the same.
Earned authority. Third-party validation. Consistent reputation. A credible presence across the places buyers look for answers.
That’s what trust signals are. That’s what the framework is built around. And that, in the end, is what gets your brand recommended — by people and by AI.
Scott Baradell is founder and CEO of Idea Grove, a B2B PR and visibility agency. He developed the Trust Signals® Framework — an evolution of the Grow With TRUST system introduced in his book Trust Signals: Brand Building in a Post-Truth World (Lioncrest, 2022). Trust Signals® is a registered trademark of Idea Grove LLC (USPTO Reg. No. 6,645,693), first used in commerce May 2020.