Dominic Jainy stands at the intersection of traditional information systems and the rapidly evolving frontier of artificial intelligence and blockchain. As a seasoned IT professional, he has spent years dissecting how machine learning models digest human knowledge, making him a critical voice for businesses navigating the current search landscape. In this conversation, we explore the fundamental shift from search engines acting as digital librarians to becoming sophisticated answer engines. We delve into why the traditional obsession with clicks is being replaced by a focus on brand authority, the specific types of content that AI simply cannot replicate, and the evolving metrics that define success in a world where a user may never actually visit your website. Jainy also breaks down the strategic importance of original research and the risks associated with the over-reliance on automated content generation.
With AI summaries now capable of satisfying a user’s curiosity directly on the search results page, how should businesses rethink their value proposition when they are no longer guaranteed a click?
The reality we are seeing in 2026 is that the traditional “click-through” is no longer the sole metric of a healthy digital presence. A study by the Pew Research Center involving about 900 US adults recently highlighted a significant shift; when an AI summary was present, users clicked on a regular result in only 8% of visits, compared to 15% when no summary was shown. While that nearly 50% drop in engagement might feel like a door closing, it actually represents a shift in how we establish authority. Instead of just being a destination, your brand must become the very source of truth that the AI relies upon to formulate its answers. The challenge is no longer just winning the click but ensuring your information is perceived as the most credible, cited, and trustworthy data point in the ecosystem. This requires a visceral commitment to being the primary source of information rather than just another voice echoing common knowledge.
Google’s May 2026 guide suggests that fundamental SEO remains the bedrock of visibility even in the age of AI. How do you interpret the balance between technical basics and these new “generative” requirements?
It is easy to get distracted by the shiny new tools of the era, but the advice from Google’s latest guidance is remarkably grounded: optimizing for AI search features is still, at its core, SEO. You don’t need specialized machine-only files or to rewrite your entire site for a robot’s eyes; you need a website that is fundamentally sound, fast, and accessible. Think of it like keeping a physical shop: if your pages don’t load quickly on a phone or if your layout is a cluttered mess, neither a human nor a search bot will want to spend time there. These basics are the entry fee for the game, ensuring that your content is reachable and understandable. However, while technical health gets you into the race, it is the unique utility of your content that actually puts you on the podium. The “secret sauce” isn’t a technical hack but the clarity of your headings and the speed with which you can solve a user’s problem.
Why has original, hard-to-copy research become the primary currency for standing out when generic information has become so cheap and accessible?
In a world where AI can summarize basic facts in seconds, the value of those facts has essentially dropped to zero. For instance, if you write an article about transcription software that just lists features found on a landing page, an AI tool like ChatGPT or Claude can summarize that without ever needing to send a visitor your way. But if you take five of those tools, run the same recording through them, and meticulously count every single mistake to determine which is best for a student versus a journalist, you have created something an AI cannot fake. That kind of “boots on the ground” testing provides a level of honesty and evidence-backed opinion that users—and by extension, AI models—crave. Originality isn’t just about being different; it’s about providing the specific, messy, real-world data that a general summary simply cannot produce from thin air.
When we look at the different types of search queries, where should companies be investing their most intensive creative efforts to see the highest return?
Not all questions are created equal, and businesses need to be strategic about where they spend their energy. For simple “what is” questions, like a basic definition of cloud computing, a short AI summary is often more than enough for the reader, and trying to compete there is a losing battle. The real gold is found in high-stakes or complex queries, such as “how should a bank manage AI risk” or “the best accounting software for a small firm.” These require expert analysis, practical guidance, and a fair comparison of trade-offs that an automated summary often fails to capture with nuance. By focusing your effort on these complex, decision-heavy topics, you provide the depth that earns citations and builds genuine trust. It is this expert-level analysis and evidence that ensures your content remains a destination for those who need more than just a surface-level fact.
With the rise of “zero-click” searches, what new framework should businesses use to measure their success beyond just traditional traffic numbers?
We have to move past the idea that lower traffic is an automatic failure; the true measure is the effect on the actual business outcomes. I recommend looking at three specific layers: discovery, quality, and results. Google Search Console has started rolling out reports that show how often your pages appear in AI answers, giving us visibility into “impressions” even when a click doesn’t follow. Beyond that, you have to look at the quality of the people who do make it to your site—are they staying, reading, and returning to your brand? Finally, the ultimate metric is whether these interactions, even those that happen off-site via a citation, eventually lead to inquiries, sign-ups, or sales. You can even run a “rough check” by asking AI tools about your field and seeing if your brand is mentioned or linked; these patterns over time will tell you more than a single day’s traffic report ever could.
What are the specific risks or pitfalls for brands that try to “game the system” by using AI to mass-produce content or manufacturing fake brand mentions?
There is a very real temptation to fight fire with fire by using AI to churn out thousands of articles, but if everyone is asking the same tools the same questions, everyone ends up publishing the same bland, repetitive answers. This “sameness” is a death sentence for SEO because it offers no unique value for a search engine to prioritize. Furthermore, the practice of manufacturing fake brand mentions to try and influence AI models is a dangerous game that often backfires. Google has been very clear that its spam systems are designed to filter out these manufactured signals, and they carry far less weight than mentions earned through real community engagement and genuine press coverage. If you lose your credibility by trying to shortcut the system, it is incredibly difficult to win it back in an environment where trust is the most valuable asset.
What is your forecast for the evolution of AI agents and how they will change the way we think about the “user” in digital marketing?
The next major shift is going to involve AI agents that don’t just answer questions but actually perform actions on behalf of the user, such as comparing products, booking services, or even making direct purchases. This turns the AI from a simple reader into a primary buyer, which fundamentally changes how we must present our data. We saw the first glimpses of this in Google’s May 2026 guidance, which noted that this area is new and moving incredibly fast. To prepare, businesses must ensure their data is structured and clear enough for a machine “agent” to evaluate, while still maintaining the human authority that convinces the person behind the agent to pull the trigger. Staying adaptable and closely watching how these agents evolve will be the difference between being a leader in the next decade or being left behind in the archives of the old web.