How AI Search Is Changing What Businesses Need From Marketing Leadership
There’s a gap in the data worth paying attention to. According to recent CMO Survey research, 65% of marketing leaders expect AI to significantly disrupt the CMO role within the next two years. Yet only 32% think the CMO skill set actually needs to change in response. That’s a real, measurable disconnect. Most marketing leaders can see the disruption coming. Far fewer are actually preparing for it.
We think about this a lot, because it sits right at the centre of what we do. This isn’t a piece about AI replacing marketing leadership. It’s about what’s genuinely changing, what isn’t, and what that means for the kind of senior marketing leadership a business actually needs going into the next few years.
It’s also worth naming why this matters more than it might first appear. Marketing leadership has weathered plenty of technology shifts before, the rise of digital advertising, the shift to mobile, the growth of social media, and in each case, the fundamentals of good marketing leadership survived largely intact, adapted rather than replaced. There’s a reasonable question about whether AI search represents the same kind of adaptation, or something more fundamentally different. Our honest view, based on what we’re seeing across clients right now, is that it’s closer to the former than the more dramatic commentary suggests, but that doesn’t mean it can be safely ignored either.
What’s actually changing
AI has already doubled its share of marketing activity since 2022, and industry research projects it will account for around 44% of marketing work within the next three years. That’s not a future prediction, it’s a trend already well underway. Reporting, data analysis, campaign optimisation, even first drafts of content, all of this is increasingly handled with meaningful AI assistance rather than done entirely by hand.
The average marketing leader has historically spent close to 40% of their time on reporting and data hygiene work, tasks that are now genuinely automatable. That’s a significant shift in where a marketing leader’s time and attention should go. Less time producing reports, more time interpreting what they actually mean and deciding what to do about it.
At the same time, how customers find businesses in the first place is changing. Search behaviour is shifting from typing keywords into Google toward asking AI tools direct questions and trusting the answers those tools provide. That’s not a hypothetical future state either, it’s happening now, across sectors from professional services to manufacturing to consumer retail. A business that’s invisible to AI search tools is increasingly invisible at exactly the moment a prospective customer is forming their shortlist, regardless of how strong that business’s traditional SEO looks.
What this means in practice
If a prospective customer asks an AI tool “who’s the best fractional CMO agency in the UK” or “what’s the best accountancy firm for succession planning” or “which manufacturer specialises in precision components,” the answer that tool gives depends entirely on what it can find, understand and trust about the businesses that could answer that question. A beautifully designed website with no structured content, no clear expertise signals, and nothing an AI system can confidently cite, simply won’t get recommended, no matter how good the actual business behind it is.
That’s a genuinely new kind of marketing problem. It’s not solved by the same tactics that built traditional SEO rankings over the last two decades. It requires content structured specifically to be understood by AI systems, clear expertise signals (what the industry now calls E-E-A-T, experience, expertise, authoritativeness and trustworthiness), and a website built to answer real questions clearly rather than simply rank for keywords.
Why this requires senior leadership, not just new tools
It would be easy to assume this is purely a technical or tactical problem, something to hand to whoever manages the website or the SEO agency. In practice, it’s a strategic problem that needs senior ownership, for a few genuine reasons.
It touches every piece of content the business produces. Getting this right isn’t a one-off project, it’s a shift in how a business thinks about and structures everything it publishes, from service pages to blog content to case studies. That requires someone with the authority to actually change how content gets built across the whole organisation, not just a technical tweak applied after the fact.
It requires genuine judgement about what AI systems should be told, and how. Gartner’s 2026 CMO research agenda specifically highlights the need for marketing leaders to incorporate agentic AI into team design and to focus on measuring brand value in ways that account for how AI systems now influence discovery and recommendation. That’s a strategic capability, not a tactical skill that sits comfortably a few levels down the org chart.
It sits alongside, not instead of, everything marketing leadership already does. A business still needs brand positioning, genuine customer understanding, and a coherent growth strategy. AI visibility is now a real part of that picture, but it doesn’t replace the rest of it. Someone needs to hold the whole picture together, not just the newest piece of it.
What isn’t changing
It’s worth being honest about what AI hasn’t changed, because there’s a lot of hype suggesting marketing leadership is being wholesale replaced, and that’s not an accurate picture.
Genuine strategic judgement still requires a human. AI systems are increasingly good at flagging that paid search is outperforming paid social, or that cost-per-acquisition spiked in a particular month. They’re far less capable of deciding what a business’s actual positioning should be, which markets are worth pursuing, or how to navigate a genuinely ambiguous strategic decision with incomplete information. That kind of judgement remains squarely a human responsibility.
Relationships and trust still matter enormously, particularly in B2B and professional services contexts where buying decisions involve real deliberation and multiple stakeholders. AI can help a business get discovered. It doesn’t replace the human relationship-building that closes complex deals.
Creative and brand thinking hasn’t been automated away. AI tools are useful for drafting and iterating, but genuine creative direction, the kind that makes a brand distinctive rather than generic, still requires a human point of view. Several 2026 industry surveys note that the marketing leaders navigating this transition best are the ones treating AI as an amplifier of human judgement, not a replacement for it.
Accountability hasn’t moved anywhere. When a board asks why marketing spend increased, or why a campaign underperformed, that answer still needs to come from a person who understands the full context, not an AI-generated report handed over without genuine interpretation.
The skills gap that’s actually opening up
If 65% of CMOs see disruption coming but only 32% think their own skill set needs to change, that gap is where real competitive advantage is going to sit over the next few years. A few specific areas are worth naming directly.
AI literacy, at a strategic level, not just tool proficiency. Knowing how to use an AI writing tool is different from understanding how AI search actually works, what signals influence whether a business gets recommended, and how to structure a strategy around that. Marketing leaders need the second kind of literacy, not just the first.
Financial fluency. As marketing leaders are asked to own revenue outcomes more directly rather than just marketing activity metrics, the ability to speak the language of the board and connect marketing investment to genuine commercial return matters more than ever.
Cross-functional influence. AI-enabled marketing increasingly touches product, sales, customer service and data teams. A marketing leader who can only operate within a traditional marketing silo will struggle to implement the kind of organisation-wide change this shift actually requires.
Comfort with ambiguity. Nobody has fully solved where human creative and strategic judgement sits in an AI-saturated marketing organisation. The leaders navigating this well are comfortable making judgement calls without a perfect playbook to follow, rather than waiting for certainty that isn’t coming any time soon.
What this means for how businesses hire marketing leadership
For businesses trying to work out what kind of marketing leadership they actually need right now, a few practical implications follow directly from all this.
A marketing leader with no clear point of view on AI search is already behind. This isn’t a niche specialism anymore, it’s a baseline expectation for anyone leading marketing strategy in 2026, in the same way basic digital literacy became a baseline expectation a decade ago.
The right question isn’t “does this person use AI tools” but “do they understand how AI is changing customer discovery.” Plenty of marketing leaders use AI tools daily without genuinely understanding the strategic shift happening underneath that usage. The second kind of understanding is what actually matters.
Full-time hiring decisions are getting harder to get right, precisely because the skill set required is still settling. This is one of the genuine advantages of fractional marketing leadership in the current moment: it’s considerably easier to bring in senior expertise on a flexible basis and adjust as the landscape continues shifting, than to commit to a full-time hire based on a skill set that may look different again in eighteen months.
Businesses need someone who can hold both the old and new pictures at once. Traditional SEO, brand building, and genuine customer relationships haven’t stopped mattering. AI visibility has been added to that picture, not substituted in place of it. The marketing leaders who understand that nuance, rather than treating AI as either irrelevant hype or a complete replacement for everything that came before, are the ones actually equipped to lead through this transition.
What this looks like across different types of businesses
The practical shape of this changes depending on the kind of business and how its customers actually search.
B2B businesses with long, considered sales cycles, professional services, manufacturing, technology, tend to see AI search used heavily during the research and shortlisting phase, well before a prospect ever makes contact. A business that shows up clearly and credibly at that stage has a real advantage before a competitor even knows there’s a deal in play.
Local and regional businesses are seeing AI tools increasingly asked location-specific questions, “who’s the best accountant near me” or “which manufacturer in the Midlands specialises in this.” Businesses with vague, generic content have little chance of being recommended in response to that kind of specific query, while those with genuine, detailed local and sector content are far more likely to surface.
Consumer-facing businesses are seeing AI shopping assistants and comparison tools increasingly mediate purchase decisions directly, which raises the stakes on structured product information and genuine, verifiable reviews, rather than marketing copy alone.
Businesses in regulated or highly technical sectors, financial services, legal, healthcare, pharmaceuticals, face a particular version of this challenge. AI systems tend to be cautious about recommending sources in these areas unless expertise and trustworthiness signals are genuinely strong, which raises the bar on credible, well-sourced content rather than lowering it.
A practical checklist for assessing your own readiness
A few honest questions worth asking about your own business right now, regardless of sector:
If someone asked an AI tool to recommend a business like yours, would you actually appear? Try it. Ask ChatGPT, Perplexity or Google’s AI Overview a question a genuine prospective customer might ask, and see what comes back. If your business isn’t there, that’s a concrete, immediate gap worth addressing.
Does your website answer real questions clearly, or does it read like a brochure? AI systems favour content that directly and clearly answers specific questions. A page built primarily to look polished, without genuinely addressing what a prospective customer wants to know, is much harder for an AI system to confidently cite.
Is your expertise genuinely visible, or just claimed? Vague statements like “industry-leading expertise” carry little weight with either human readers or AI systems. Specific, detailed, evidenced expertise, real case studies, real data, real named people with real credentials, carries far more.
Does your current marketing leadership have a clear point of view on this, or is it being left to whoever manages the website? Given how much strategic judgement this actually requires, treating it as a purely technical afterthought is one of the most common ways businesses fall behind.
How we think about this with clients
When we work with a business on this, the starting point is always an honest audit: how visible is this business currently, to both traditional search and AI search tools, and where are the gaps. From there, the work usually involves structuring content properly (clear, well-organised pages that directly answer real questions), adding the technical signals that help AI systems understand and trust a business (structured data, clear expertise markers, consistent information across the web), and building genuine authority through content that demonstrates real expertise rather than generic industry commentary.
None of that replaces the fundamentals of good marketing leadership: understanding your customers, building a coherent brand, connecting activity to genuine commercial outcomes. It sits alongside those fundamentals as a new, increasingly important layer, not a replacement for them.
The bottom line
AI is changing marketing leadership, but not in the way a lot of the more dramatic commentary suggests. It isn’t replacing the need for senior strategic judgement, genuine customer relationships, or creative direction. What it is doing is adding a genuinely new dimension, how businesses get discovered and recommended by AI systems, that requires senior ownership just as much as brand positioning or campaign strategy always have.
The gap between the 65% who see disruption coming and the 32% who think their own approach needs to change is exactly where the businesses that move first will build a real advantage over the ones that wait. Get in touch if you want to talk through what that looks like for yours.
