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How AI Is Changing the Way Marketers Work

By Nathaniel Patterson, Founder and CEO of Skeptical · October 12, 20269 min read

Every few months somebody declares that AI is going to replace marketers. It hasn't. But it has changed the job in ways that are easy to miss if you only read the headlines. Search results look different. Ad platforms make decisions that used to belong to us. And the gap between teams that use AI well and teams that just bought an AI tool keeps getting wider.

Question everything, know nothing. So here's an honest look at what has actually changed, based on what Google and independent researchers have published, and what it means for the way we work.

Search Isn't Ten Blue Links Anymore

The biggest change for marketers is happening in search, the channel most businesses depend on.

AI answers are now the front door

At Google I/O in May 2026, Google said that AI Mode had passed one billion monthly users just one year after its debut, with queries more than doubling every quarter since launch. In the same announcement, Google said it was making Gemini 3.5 Flash the default model in AI Mode globally, rolling out a redesigned AI-powered search box, and letting people ask follow-up questions from an AI Overview and continue into a conversation with AI Mode.

Google is also moving Search toward agents. It announced "information agents" that monitor the web in the background and send updates, plus expanded agentic booking for local experiences and services, including having Google call businesses on a person's behalf in categories like home repair, beauty and pet care.

For local and service businesses, that last point deserves attention. Some of the people looking for you may never see your website at all. An AI could compare options and make the call for them.

Fewer clicks, at least for now

Independent data backs up what many site owners have noticed. A Pew Research Center analysis of the browsing data of 900 U.S. adults in March 2025 found that users who saw an AI summary clicked a traditional search result in 8% of visits, compared with 15% for users who didn't see one. People clicked a link inside the AI summary itself in just 1% of those visits. Users also ended their browsing session more often after a page with an AI summary (26%) than after a page without one (16%).

Pew also found that longer, question-style searches were far more likely to trigger an AI summary. Only 8% of one- or two-word searches produced one, compared with 53% of searches with ten words or more.

Two caveats matter here. That data was collected in early 2025, before AI Mode went global, so treat it as direction rather than a current benchmark. And Google says in its own documentation that clicks from results pages with AI Overviews are higher quality, meaning users are more likely to spend more time on the site. Both can be true at once: fewer clicks, but better ones.

What this means for SEO

Here's the part that cuts through a lot of noise. Google's own guidance says there are no additional requirements to appear in AI Overviews or AI Mode, and no special optimizations needed. You don't need new "AI text files" or special schema. To be eligible as a supporting link, a page has to be indexed and eligible to show in Search with a snippet.

The same page lists the fundamentals that still matter: allowing crawling in robots.txt and at the CDN level, making content findable through internal links, providing a good page experience, keeping important content in text form, making sure structured data matches the visible page, and keeping your Business Profile information up to date. Google also explains that AI features may use "query fan-out," running multiple related searches across subtopics to build a response.

So the people selling secret "AI SEO" hacks are mostly selling fluff. The job is the same job, done more carefully:

  • Answer real questions completely. Searches are getting longer and more conversational, so content should answer the follow-up questions too.
  • Get the technical basics right. If your pages can't be crawled, indexed and understood, nothing else matters.
  • Measure differently. Rankings and raw traffic tell less of the story than they used to. Watch conversions and engaged visits.

If your site needs that foundation, that's exactly what our performance marketing and SEO work covers.

Paid Media Is Being Handed to the Machine

Keywords are losing control

In paid search, Google has been steadily shifting control from marketers' keyword lists to its own AI. Its AI Max for Search campaigns use broad match and keywordless matching, customize ad text and expand landing page URLs automatically.

In April 2026, Google announced that AI Max was out of beta and that campaigns using Dynamic Search Ads, automatically created assets and campaign-level broad match would be automatically upgraded to AI Max starting in September, with new DSA campaigns no longer available to create. Google said advertisers using the full AI Max feature set see an average of 7% more conversions or conversion value at a similar CPA or ROAS compared with search term matching alone, citing its own internal data for non-retail advertisers.

Notice the source. That number is Google measuring Google. It may well be true for many accounts, but it isn't an independent result, and your account isn't an average.

What changes in the day-to-day

When the platform picks the queries, writes the headlines and chooses the landing page, the marketer's job moves up a level:

  • Inputs become the strategy. The conversion data, audience signals, brand guidelines and creative you feed the system now decide what it optimizes toward. Bad inputs get scaled just as efficiently as good ones.
  • Guardrails matter more. Brand controls, location controls, text guidelines and exclusions are how you keep automation from spending your money on things you'd never approve.
  • Testing is the only honest referee. Run controlled experiments before flipping everything on, and judge the results against your own business numbers, not the platform's summary.

Measurement is now the competitive edge

If AI optimizes toward whatever conversion signal you give it, the quality of that signal is everything. Broken tracking used to waste some budget. Now it actively trains the algorithm in the wrong direction.

That's why so much of the work has shifted to measurement: clean conversion tracking, offline conversions where they apply, and attribution that doesn't just accept each platform's claims. This is the heart of our performance analytics work, and it's usually the first thing we fix.

Analytics: Faster Answers, Same Need for Judgment

AI makes analysis faster. It can summarize a dashboard, spot an anomaly or write a query in seconds. That's a real productivity gain.

But AI analysis inherits every flaw in the data underneath it. If your events are double-counted, your CRM is full of duplicates or your channels are attributed inconsistently, AI will hand you a confident, well-written, wrong answer.

The practical moves:

  • Fix the foundation first. Clean, connected data matters more now, not less. Our data management services exist for exactly this.
  • Keep a human on the conclusions. Use AI to explore and draft, then have someone who understands the business check the logic before decisions get made.
  • Use the reporting Google already gives you. Google notes that traffic from AI Overviews and AI Mode is included in Search Console's Performance report under the "Web" search type, alongside regular search traffic. Pair it with your analytics to see what those visits actually do.

Content: More Volume, Less Differentiation

Generative AI made content cheap to produce. That's exactly why generic content is worth less than ever. When everyone can publish a decent 1,000-word article in minutes, the internet fills up with near-identical pages, and AI answers summarize the common ground anyway.

What still stands out is what AI can't fake: first-hand experience, original data, a real point of view and specific answers to specific questions. Google's guidance continues to point toward "helpful, reliable, people-first content," and that's the bar.

Our take: use AI to speed up research, outlines and editing. Don't use it to replace the thinking. If a piece of content could have been written by anyone, it won't win.

Agents: The Next Shift in How Work Gets Done

The newest change isn't a feature inside one platform. It's AI agents that carry out multi-step tasks on their own. Google is building them into Search for consumers. Inside marketing teams, agents are starting to take on work like pulling reports, monitoring campaigns, flagging anomalies and drafting first versions of routine deliverables.

That doesn't remove the marketer. It changes where the marketer's time goes:

  • Less time on repetitive production, like assembling weekly reports or building campaign variations by hand.
  • More time on judgment, like setting strategy, reviewing what the automation is doing and deciding what to test next.
  • New responsibilities, like documenting processes clearly enough that an agent can follow them, and auditing what agents produce.

The teams that do well with automation are the ones that already had clear processes. If your workflows live in one person's head, AI won't fix that. If you want help working out where automation fits, our marketing consulting covers AI and automation implementation, along with training your team to use it.

What Marketers Should Do Now

Burn the playbook, but don't burn the fundamentals. A practical checklist:

  1. Audit your technical SEO. Make sure your important pages are crawlable, indexable, fast and structured clearly. That's the ticket into AI features.
  2. Rewrite content for real questions. Cover the follow-ups, not just the head term.
  3. Fix tracking before turning on more automation. Every AI bidding system is only as smart as the conversion data you give it.
  4. Test automation, don't trust it. Use experiments and compare against your own business results.
  5. Set guardrails. Brand, location and text controls belong in every automated campaign.
  6. Keep your Business Profile accurate. Google's own guidance lists it as a fundamental, and agents increasingly act on that data.
  7. Invest in your people. Train your team to direct and audit AI, not just operate it.

Frequently Asked Questions

Is AI replacing marketers?

No. AI is taking over repetitive production and some optimization decisions, but strategy, judgment, measurement and oversight still need people. The job is shifting, not disappearing.

Do I need special optimization to appear in Google AI Overviews?

According to Google's Search Central documentation, no. There are no additional requirements or special schema. A page needs to be indexed and eligible to show with a snippet, and standard SEO best practices apply.

Do AI Overviews reduce website traffic?

A Pew Research Center study of March 2025 browsing data found users clicked traditional results less often when an AI summary appeared (8% of visits versus 15%). Google says clicks from pages with AI Overviews tend to be higher quality. Track both traffic and conversions.

What is AI Max for Search?

AI Max is Google's suite of AI features for Search campaigns, including search term matching, text customization and final URL expansion. Google began automatically upgrading campaigns using Dynamic Search Ads and some legacy settings to AI Max in September 2026.

Where should a business start with AI in marketing?

Start with measurement and data quality, then automate repetitive tasks with clear processes, and test AI-driven campaigns against your own business results.

The Takeaway

AI hasn't made marketing easier. It's made it different. Search is turning into answers and agents. Ad platforms want your keywords less and your data more. Content is cheap, so original thinking is worth more. And every automated system is only as good as what you feed it and how closely you watch it.

The marketers who win from here won't be the ones with the most AI tools. They'll be the ones who question the outputs, fix their data, test everything and keep their eyes on real business results.

If you want an honest read on where your marketing stands, with no salesy pitch, email us at [email protected]. Want to learn more first? Read about Skeptical or browse our FAQ.

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