Generative engine optimization reshapes marketing roles and agency value

The agencies that still sell content volume are going to feel this shift first. Ryan Law’s latest read on marketing is blunt: the job is moving away from writing more and toward building systems that make brands visible inside AI answers, and the money is following that change.

What matters here is not the hype around a new acronym. It is the way generative engine optimization, or GEO, is already changing how agencies package services, set prices, hire talent, and prove value. If your reporting still stops at rankings and page views, you are already behind the conversation.

GEO is the discovery channel marketers can no longer ignore

Law, Ahrefs’ director of content marketing, says he has spent 14 years in marketing, and that long view is exactly why his take lands. He is not describing a future trend line from a distance; he is describing a role that has already shifted from producing more content to building more systems. The sharpest signal in his piece is that marketers are scrambling to be cited and mentioned inside AI answers, and that GEO is starting to function as a real discovery channel, not a fad.

That shift has academic backing. The original GEO paper, from researchers including Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, and Ameet Deshpande across Princeton University, Georgia Tech, and the Allen Institute for AI, introduced GEO as a framework for improving visibility in generative engine responses. It also reported that optimization methods could improve visibility by up to 40%, which is a big enough lift to force any serious agency to pay attention.

For agency leaders, the practical read is simple: GEO is not another content label. It is a new layer of search strategy that touches prompts, citations, page structure, and the way information is organized for machines that summarize before they refer.

The money is moving toward AI visibility and workflow design

This is where the service mix starts to change. A team that once sold blog calendars and link-building packages can now sell AI visibility audits, citation tracking, content system design, and performance reporting across both classic search and AI surfaces. The work is less about cranking out assets and more about making sure assets can be found, interpreted, and reused by generative systems.

The agencies most likely to create new retainers around this shift are the ones that can do the unglamorous operational work:

• map where a brand appears in AI answers and where it disappears
• clean up content architecture so key facts are easy for models to extract
• tie editorial production to measurement, not just publishing volume
• connect SEO, analytics, and content ops into one reporting layer

That is a very different sell than “we’ll write eight posts a month.” It moves agencies closer to operating partner territory, which is exactly where pricing power lives. Once a client starts asking how often they are cited in AI answers, how those citations affect traffic, and which pages actually influence visibility, the old deliverable-based model looks thin.

Legacy SEO reporting is getting squeezed from both sides

The pressure on traditional SEO deliverables is not theoretical. Ahrefs reported that AI Overviews appeared on 16% of U.S. searches and had more than doubled since March 2025. In the same analysis of 300,000 keywords, the presence of an AI Overview correlated with a 34.5% lower average click-through rate for the top-ranking page.

Pew’s numbers tell the same story from another angle. About 18% of Google searches in March 2025 triggered an AI Overview, and those summaries were typically 67 words long and usually cited multiple sources. That combination matters because it changes the job of the search result page itself: users are getting a compressed answer before they ever decide whether to click, and the click is no longer guaranteed to reward the page at the top.

That is the operational threat to agencies that still report success in page-one rankings alone. If the client is losing clicks while still “ranking well,” the old dashboard is technically accurate and commercially misleading. The smarter report now includes AI visibility, citation presence, organic CTR, and the share of traffic or demand influenced by generative answers.

Google is expanding AI search while trying to soften the blow

Google is not standing still in this transition. In June 2026, the company said it was upgrading AI Search features with more inline links and website previews, and it said site owners can control whether their content appears in generative AI features in Search. That is a notable signal because it shows Google trying to balance two competing pressures at once: expanding AI answers and reassuring publishers that useful traffic still matters.

The tension shows up in the background noise too. Google’s Search Status Dashboard includes a March 2026 spam update and a May 2026 core update, which reinforces how unstable the search environment has been. For agencies, volatility like that makes system thinking more valuable, not less. A shop that can diagnose traffic changes, attribute them to search product shifts, and adjust content behavior quickly becomes far more valuable than one that only files monthly keyword reports.

What leaders should change right now

The clearest operational takeaway from all of this is that agencies need to reposition around AI visibility, analytics, and content performance as a single service line. GEO is not just another tactic to bolt onto SEO. It is the clearest sign that discovery is fragmenting, and that brands now need to be visible in search results, AI summaries, and answer engines at the same time.

That means three changes should happen now. First, pricing should move away from pure output and toward systems, measurement, and ongoing optimization. Second, hiring should favor people who can work across SEO, analytics, content systems, and AI visibility, not just people who can publish fast. Third, client reporting should stop treating AI answers as a side note and start treating them as part of the funnel.

The agencies that win this year will not be the ones making the most content noise. They will be the ones that turn trend awareness into repeatable workflows, measurable visibility, and durable client value.