Most marketing thought leaders fall into one of two camps: the agency consultant who speaks in frameworks but hasn't touched a live campaign in years, or the in-house practitioner who knows the work but lacks the platform to share it. Lars Maat occupies neither. He runs a 30-person digital agency in Rotterdam, co-founded a paid social training community, helps curate one of Europe's largest search conferences, and writes for Search Engine Land with the kind of specificity that only comes from someone still logging into ad accounts every week.
For CMOs and marketing executives trying to make sense of AI search, channel convergence, and the slow death of the SEO-versus-PPC turf war, Maat represents something increasingly rare: an operator who publishes.
Seventeen Years in the Trenches
Maat's LinkedIn profile shows 17 years in digital marketing, with the bulk of that time spent building Maatwerk Online, a full-service agency that now employs 33 people and holds Google, Meta, and Microsoft partner status. The agency won Dutch Search Awards for Best Agency in both 2024 and 2025, and landed in the Emerce Top 100 for 2026. These credentials matter less for the trophies than for what they signal: Maat's team is running live campaigns at scale, which means his published insights carry the weight of current data rather than historical anecdote.
His speaking circuit reinforces this. PPC Hero lists him as a featured speaker, and he's appeared at SMX Munich, HeroConf London, BrightonSEO, and ADWorld Experience in Bologna. In 2024, he was ranked #33 among the top 50 PPC influencers globally. The conference circuit can be a vanity exercise, but Maat's sessions tend toward the tactical: AI-driven data analysis for PPC accounts, predictive modeling for bid strategies, and the mechanics of combining first-party data with algorithmic optimization.
The Search Engine Land Column
Maat joined Search Engine Land as an author in May 2025, and his recent output shows a clear editorial thesis: the old channel silos are collapsing, and marketers who don't adapt their measurement and strategy accordingly will misallocate budget.
His July 15, 2026 piece, "Why the SEO vs. PPC debate is finally over," lands at a moment when the argument has real financial stakes. With Google AI Mode ads now appearing on nearly 30% of commercial queries according to SE Ranking's 50,000-keyword study, the distinction between organic and paid visibility is blurring in ways that affect both budget allocation and attribution models. Maat's argument isn't that SEO and PPC should merge organizationally, but that treating them as competing line items in a marketing budget misses how users actually move through AI-mediated search experiences.
His July 14 article on visual semantics and topical authority tackles a different angle of the same problem. As AI Overviews and AI Mode reshape what "ranking" means, the signals that establish authority are shifting. Maat's piece examines how visual content contributes to topical authority in ways that traditional text-focused SEO frameworks undercount.
The Friends of Search Connection
Since April 2026, Maat has served as an organizer for Friends of Search, the annual Amsterdam conference that draws over 700 search specialists. His role involves selecting PPC topics and speakers, which gives him a curatorial view of what the practitioner community considers urgent. The 2026 edition featured speakers like Aleyda Solis, Jono Alderson, and Frederick Vallaeys, with the PPC track emphasizing AI integration, first-party data activation, and the mechanics of Performance Max optimization.
For executives evaluating which voices to follow, the Friends of Search role matters because it positions Maat at the intersection of practitioner feedback and industry direction. He's not just publishing his own views; he's filtering what the broader community considers worth discussing.
The Paid Social Club
In May 2025, Maat co-founded The Paid Social Club, a training community aimed at experienced paid social marketers. The positioning is deliberate: this isn't a beginner's course, but a resource for specialists who've moved past the basics and need advanced tactics for creative testing, automation, and feed optimization.
The timing aligns with a broader shift in how paid social fits into B2B marketing stacks. As Meta's Business Agents roll out and AI-driven ad formats proliferate, the skill set required to run effective paid social campaigns is changing faster than most in-house teams can adapt. Maat's training operation addresses this gap, though it also creates a potential conflict of interest worth noting: his published content on paid social topics may serve as a funnel for the training business.
What Executives Should Watch
Maat's output over the past month suggests three themes worth tracking:
AI Mode monetization is accelerating. The SE Ranking study Maat covered found that ad presence in AI Mode climbs from 24% on sub-$2 CPC keywords to 54% on keywords above $10. For B2B marketers with high-value keywords, this means AI Mode is already a paid surface, not just an organic one. Budget planning for Q4 2026 should account for this.
The ad slot and the citation are different games. The same study found that only 11.5% of advertisers appearing in AI Mode were also cited as sources in the AI-generated response. Paying for visibility doesn't buy you the citation. This has implications for how teams structure their AI search strategies: GEO (generative engine optimization) and paid AI Mode placement require separate playbooks.
Channel convergence demands new reporting. Maat's "SEO vs. PPC debate is over" thesis isn't about organizational structure; it's about measurement. If your attribution model still treats organic and paid as independent channels, you're likely misreading the data. The question for CMOs is whether their current reporting infrastructure can surface the cross-channel effects that AI search creates.
The Operator Advantage
The marketing industry has no shortage of commentators. What it lacks are practitioners who publish with enough frequency and specificity to be useful for real-time decision-making. Maat's combination of agency operations, conference curation, training delivery, and editorial output creates a feedback loop that keeps his insights grounded in current campaign data.
For B2B marketing executives, the value isn't in treating Maat as an oracle. It's in using his output as a signal of what's changing in paid search and AI visibility, filtered through someone who's still running the campaigns. When he writes about visual semantics or AI Mode ad density, he's describing problems his team is solving for clients that week.
That's the kind of source worth adding to your reading list.
