The landscape of search engine optimization is undergoing its most radical transformation since the inception of the Google algorithm. For decades, the industry has operated under a relatively simple premise: if you rank on the first page, you win. However, as artificial intelligence reshapes how information is gathered and consumed, the old rules of engagement are no longer sufficient. Ranking is now merely the entrance fee; it is not the prize.
During a recent session at SEO Week, Wil Reynolds, the founder and CEO of Seer Interactive, challenged the core philosophy that many digital marketers have clung to for years. His message was clear: in an era defined by Generative Engine Optimization (GEO) and AI-driven search, the goal of marketing must shift. It is no longer enough to be visible. To survive the next decade of digital disruption, brands must focus on being believed and, ultimately, being chosen.
The Evolution of the Marketing Funnel: Seen, Believed, Chosen
For years, SEOs have obsessed over “visibility.” We track impressions, keyword rankings, and share of voice. But Reynolds argues that visibility is a shallow metric if it doesn’t lead to a psychological shift in the consumer. He proposes a three-stage progression that defines modern marketing success: being seen, being believed, and being chosen.
Being “seen” is the traditional SEO victory. You’ve optimized your headers, built your backlinks, and secured a spot in the top three results. But what happens next? If a user clicks on your link and finds a generic, AI-generated listicle that offers no unique value, they might “see” you, but they won’t “believe” you. Without belief, there is no trust. And without trust, the user will never move to the final stage: choosing your brand over a competitor.
“I got the ranking, job finished,” Reynolds noted, mimicking the mindset of many agencies. “Job’s not finished.” In fact, getting the ranking is just the beginning of the conversion journey. If your visibility doesn’t translate into brand affinity, you are simply generating noise in an already crowded digital ecosystem.
The Rise of Zombie Content and the Loopholist Trap
One of the most provocative points in Reynolds’ talk was his critique of “zombie content.” This refers to the massive volume of scaled, templated content produced solely to satisfy search engine crawlers. This content often follows a predictable formula, such as “Best Restaurants in [City]” or “How to [Task] in 5 Easy Steps,” where the information is repurposed from existing search results rather than derived from actual expertise or experience.
“Why would you write content saying ‘best restaurants in Minnesota’ when nobody that’s a human looks for the best restaurant in Minnesota?” Reynolds asked. He points out that while these pages might capture broad, top-of-funnel traffic, they rarely serve the needs of a discerning human user. They are ghosts of content—visible but hollow.
This leads to a divide in the industry between “strategists” and “loopholists.” A loopholist looks for the latest trick to game the algorithm—finding a way to rank a low-effort page by exploiting a temporary weakness in Google’s ranking systems. A strategist, however, looks at the long-term health of the brand. Reynolds challenged marketers to decide which side they are on. In a world where AI can generate “loopholes” faster than any human, the only sustainable advantage is high-quality, high-trust strategy.
The Skyscraper Technique is Dying
For years, the “Skyscraper Technique”—finding the best content for a keyword and making something “slightly better”—was the gold standard for SEO. Reynolds argues that this approach is failing. If you are only doing something “slightly better” than the top 10 results, you aren’t providing a reason for the user to believe in your brand. You are just adding to the pile of redundant information. AI models are particularly good at summarizing this type of repetitive content, which means the user may never even need to click your link to get the “slightly better” information you worked so hard to produce.
SEO Performance vs. GEO Reality: The Ethical Jeans Case Study
The shift from traditional SEO to Generative Engine Optimization (GEO) is where the “belief” gap becomes most apparent. Reynolds shared a compelling example involving the search for “ethical jeans.”
In traditional Google search results, one brand managed to rank highly through aggressive SEO tactics, despite not having a deep, verifiable history of ethical manufacturing. They understood the technical requirements of ranking and executed them perfectly. However, a second brand, which had spent years building a legitimate reputation for ethical production, ranked much lower because their technical SEO wasn’t as polished.
However, when the same query was put to AI models like ChatGPT or Google’s Gemini, the results flipped. The AI models, which synthesize information from across the web—including news articles, social media discussions, and third-party reviews—ignored the first brand entirely. They recommended the second brand—the one with the actual reputation.
“If that worked, if it was the same, that brand would be showing up in AI models,” Reynolds said of the SEO-first brand. “And they showed up in none.”
This highlights a critical evolution: AI models are becoming sophisticated enough to distinguish between “optimized content” and “brand truth.” If the internet as a whole doesn’t believe your claims, the AI won’t either. Ranking in Google is no longer a guarantee of being recommended by an AI assistant.
The Reddit Factor: Where Humans Go to Find Truth
If you want to know if people believe your brand, Reynolds suggests skipping your Google Search Console for a moment and heading to Reddit. On platforms like Reddit, Quora, or specialized forums, users speak with a level of blunt honesty that doesn’t exist in a marketing funnel.
“Go to Reddit… look at all the brands,” Reynolds advised. “You find out that humans don’t believe you.”
Searchers are increasingly adding the word “Reddit” to their Google queries because they are tired of “zombie content.” They want to hear from real people who have actually used a product or visited a restaurant. If your brand is being torn apart on Reddit, or worse, if it’s never mentioned at all, your SEO rankings are built on sand. AI models use these community signals to determine which brands are trustworthy. If the “crowd” doesn’t choose you, the AI won’t either.
Rethinking Metrics: Hard-to-Measure vs. Easy-to-Measure
One of the reasons marketers fall into the visibility trap is that visibility is easy to measure. We can pull a report on keyword rankings in seconds. Measuring “belief” or “trust” is much harder, but it is far more valuable.
Reynolds pointed out a common discrepancy in marketing reports: skyrocketing visibility paired with a flat sales pipeline. “If your visibility is skyrocketing and your pipeline is flat, that’s bad,” he said. It indicates that you are attracting people, but you aren’t convincing them. You are being “seen,” but you are failing at the “believed” and “chosen” stages.
The Performance of Different Traffic Sources
To illustrate the value of brand trust, Reynolds shared data on conversion rates from different sources. He noted that direct traffic—people who type your URL directly into their browser—often converts at a much higher rate than SEO traffic. In his own experience, direct traffic converted 1.5 times better than SEO, while social traffic converted five times better.
Why? Because direct and social traffic are often fueled by existing belief. These users aren’t just looking for an answer; they are looking for *your* answer. They already believe in your brand, which makes the “choosing” part of the process almost automatic.
Managing the AI Brand Narrative
As AI becomes the primary interface for search, brands must take an active role in managing how they are perceived by these models. Reynolds shared a personal story of finding incorrect information about Seer Interactive in an AI-generated response. Because AI models can “hallucinate” or pull from outdated sources, a brand’s narrative can quickly move out of its control.
“So now it’s showing up everywhere,” he said, referring to the false claim. His response wasn’t just to ignore it, but to publish content that directly addressed and corrected the claim. In the age of AI, your brand’s reputation is a living thing that requires constant defense and curation.
Reynolds suggested that marketers should spend less time creating new content and more time acting as “curators.” With so much content already saturating the web, the value lies in being the most trusted source that sifts through the noise. “I’m trying to become a curator,” he said, emphasizing a shift toward quality and accuracy over sheer volume.
Conclusion: The Sacrifice for Believability
The transition from a search-first world to an AI-first world requires a fundamental shift in priorities. We have spent two decades optimizing for algorithms, sometimes at the expense of our human audience. We have used loopholes, scaled zombie content, and chased metrics that looked good in a slide deck but didn’t build long-term brand equity.
Wil Reynolds ended his session with a challenging question for every marketer: “Are you willing to sacrifice a little bit of this visibility game to be more believable?”
The brands that win the next decade won’t be the ones with the most pages indexed or the most keywords in the top three. They will be the ones that humans trust and AI models recommend. Being seen is easy. Being believed is hard. Being chosen is everything.