Founder FAQ: Does SEO Still Matter In A World Increasingly Dominated By AI?

Founder FAQ is an Inc. Arabia series where we get industry experts to answer frequently asked questions (FAQ) by entrepreneurs. In this edition, Paras Raichura, founder and CEO of the UK-based digital marketing agency PNdigital, answers: “Does SEO still matter in a world increasingly dominated by AI?”

With artificial intelligence (AI) increasingly influencing every aspect of professional (and personal) life, there’s a growing tendency to assume anything that came before it is now obsolete—and that includes search engine optimization, or SEO.

This belief usually stems from the rise of AI-driven answers and zero-click searches, which reduce the impact of traditional SEO, and shift attention from backlinks to semantic clarity, brand authority, and factual credibility. As users adopt more conversational queries and AI delivers increasingly personalized results, old keyword-first tactics naturally lose power.

But SEO isn’t dying—far from it. It is evolving to support visibility within AI-generated responses. And the data backs this up. A recent survey by SEO industry publication Search Engine Land found that nearly 90 percent of businesses fear losing organic visibility as AI reshapes search; yet, the majority admit they’re unsure how to adapt.

That disconnect is exactly why SEO still matters. Businesses know AI is changing the rules, but they haven’t built the strategic foundations to compete in an AI-first search landscape. In 2026, SEO won’t just still “matter,” it will remain the foundation everything else is built on. The real issue isn’t whether SEO is relevant, but how we practice it.

And that’s what I emphasize when people tell me, “SEO is over; it’s all about generative engine optimization (GEO) now.” For anyone new to the term, GEO is about optimizing content so that AI assistants trust it and surface it. But what most people are not grasping is that GEO exists because SEO exists. GEO, AI search experiences, and answer engines all depend on structured, authoritative, crawlable content that machines can understand and trust. And that, at its core, is SEO.

AI models don’t generate answers in a vacuum. They’re trained on, reference, and validate information from well-optimized websites, strong brands, and credible digital footprints. If your content isn’t discoverable, indexable, or trusted by traditional search engines, it is far less likely to be surfaced or cited by AI-driven systems.

This is especially important when you consider how dramatically user behavior is shifting. According to Bain & Company, one of the world’s leading management consulting firms, 60 percent of searches now end without a click, and 80 percent of users rely on AI-generated summaries to make decisions. Bain’s conclusion is that “SEO alone will not be enough for brands looking to succeed in this new reality”—but that doesn’t diminish SEO; it elevates it. What it means is that SEO must transform into a broader discipline that supports visibility across both traditional search and AI-driven answer engines.

PNdigital founder and CEO Paras Raichura. Image courtesy PNdigital.

So, SEO isn’t over; it is developing. It’s less about gaming algorithms, and more about building digital authority, clarity, and usefulness at scale. The businesses that understand this will continue to win visibility and outperform their competition. Indeed, AI has fundamentally shifted SEO from something mechanical to something far more strategic. In many ways, it has actually made SEO stronger.

AI accelerates research, content ideation, and technical analysis; it helps uncover intent patterns at scale; it sharpens internal linking and content clustering; and it frees teams to focus on strategy instead of repetitive execution. However, AI has also raised the bar. It is now incredibly easy to produce content, which means content alone is no longer a differentiator. Search engines and users are prioritizing original insight, experience, trust, and authority more than ever. In that sense, AI acts as an amplifier; it makes good SEO better and bad SEO more visible.

To drive meaningful results in an AI-dominated search environment, businesses need to shift their mindset from chasing tactics to building long-term digital authority. That starts with moving beyond individual keywords, and instead developing depth around core topics, creating interconnected content that clearly signals expertise and relevance. Structure and clarity are also critical; well-organized pages, strong internal linking, and clean formatting make it easier for both search engines and AI systems to understand, trust, and surface content.

The biggest mistake businesses are making right now is treating AI as a substitute for strategy. Too many teams are using it to churn out generic content, chase keywords without understanding intent, and prioritize publishing faster instead of publishing better. AI can accelerate good strategy, but it can’t replace it. This approach only leads to content saturation, declining engagement, and weaker brand trust.

Another major misconception is treating SEO as a short-term tactic rather than a long-term asset. Businesses want instant results from AI-generated content, but sustainable visibility—whether in Google or AI-powered search—still comes from consistency, authority, and relevance over time. Too many companies also separate SEO and AI into different conversations.

The reality is that SEO, content, public relations, brand, user experience, and AI visibility are now deeply interconnected. Treating them in silos puts companies at a strategic disadvantage— and that is certainly not the way to go as we look to the future.