Written by Alchemy Crew Team

For two decades, digital visibility meant ranking on Google. That logic is breaking. AI overviews now answer the query before a customer ever reaches a link, which moves the search that matters from "how do I rank?" to "what does AI say about my company?" Brad Wetherall, who spent more than a decade running Google products and now serves as Chief Operating Officer at Esquire Digital, argues the shift hits regulated industries hardest, because trust is the exact currency AI engines reward.

 The end of the ten blue links in AI search

The search box that most insurers spent twenty years optimizing for has quietly stopped being the destination. In this new era, users increasingly get answers from AI summaries at the top of the page and move on without visiting a site. For a CDO who measures success in website traffic, the scoreboard itself has changed.

Optimizing for zero-click searches is now a core digital marketing strategy, and marketers need to shift their focus from rankings to reliability. Brad Wetherall spent more than a decade inside Google, leading operations on Google Business Profile, Google Shopping, Google Wallet, and Google Domains, shaping how over 100 million businesses are discovered online. Zero-click behavior is now reducing organic traffic by 15% to 25%. And 80% of consumers rely on zero-click results in 40% of searches. Now COO of Esquire Digital and author of the bestselling AI and the Future of Search, he joins Sabine VanderLinden to answer one direct question: when the AI overview becomes the new front page, what must a regulated enterprise do differently to be seen, trusted, and chosen? ChatGPT saw a 44% traffic boost in November 2024, and 40% to 70% of large language models research now happens on these platforms as generative AI reshapes discovery.

Why this matters now

The window to adapt is open, and it is closing fast for anyone who waits. The challenge is not just timing but adjusting to an evolving search environment, where trust now matters as much as indexation and the insurers who move first will compound an advantage their competitors cannot quickly buy back.

The scale is hard to overstate. Brad Wetherall reports that AI-generated online content grew 2,800% between Q1 2023 and Q1 2024, prompting Google to de-index large volumes of unoriginal material in Q2 2024. Wetherall also estimates that as many as 60% of Google searches now resolve with zero clicks, the answer served directly in the AI overview.

For insurance, this sits atop an existing Frontier Firm imperative. The sector is already rebuilding around AI as an operating system rather than a feature, and discovery is the layer most leaders have not yet touched. This shift is playing out across the wider industry, underscoring the importance of practical innovation over passive observation. The route here is familiar to anyone who works with the Venture Client Model: insurers do not need to build AI search and GEO capabilities from scratch. They can gain access to the right specialist platforms or tool as an early customer, and scale what works without the cost of equity bets.

The new number one sits inside the AI summaries overview

The highest organic ranking is no longer the top of the page. Brad Wetherall is blunt: the structure of search has been rearranged underneath everyone's feet.

The old model treated a hyperlink as a vote, and the brand with the most votes won the top spot. AI engines do not work that way. They cluster nodes of information inside a neural network, learning to associate who you are, what you do, and where you do it, with outputs shifting by context, by person, and by assessed relevance. Optimization now means training the engine to bring those associations close enough that your brand surfaces when the branded term is dropped.

"Number one is all the way down the page. The new number one is being in the AI overview."

AI-generated answers can differ significantly for the same query, which is why brands need to influence the inputs rather than rely on static rankings.

This is an Intelligent Layers problem before it is a marketing problem. Visibility depends on whether content is machine-readable, structured, and cheap for an AI bot to crawl and ingest; insurers have limited direct control over outputs, but they can control the structured inputs those systems ingest. Sabine VanderLinden framed the insurance version precisely in the conversation: discoverability through machine-readable data, quotability through API-ready pricing transparency, and bindability that lets a customer buy in microseconds rather than minutes. Each one is an architecture decision, not a copywriting flourish.

Originality is the one thing AI cannot manufacture

Unoriginal content is now a liability, and a unique human perspective is the asset AI engines actively hunt for.

AI-written content is not the problem. Regurgitated content is. Originality helps create a clearer story that AI can cite. Google's recent algorithm work rewards net-new contributions and penalizes pages that simply restate what ten other sources already said. The engines increasingly seek the human input they cannot generate, which is why authorship and a credible point of view carry more weight than they ever have.

"I'm not saying AI content is bad. I'm saying unoriginal content is bad."

This is the Frontier Firm thesis applied to discovery. The winning model is human-led and agent-operated, where AI handles the heavy lifting of research and drafting, can fill gaps when source material is missing, and still cannot replace a named expert's judgment and voice. Wetherall pointed to Google's EEAT standard, expertise, experience, authority, and trust, as the recipe the engines score against. An article on optimizing a Google Business Profile, written by the former director of that product, carries authority that the same words from an anonymous account never will. Attribution is no longer a courtesy. It is a ranking signal because the named expert must stand behind the claims the article makes.

Regulated industries get more return on authority

Insurance and banking earn outsized payback from investing in trust because AI engines condense their source pool hardest on sensitive topics.

When a query touches finance, health, or legal risk, an AI engine cannot afford to quote an unverified source, so it restricts itself to a smaller set of authoritative voices. AI tools also shape how companies are perceived within an industry, especially when users ask for the best firms to work with. That restriction is an opening. Brands that establish credibility early get cited, while competitors who skip the work are left out of the answer.

"The investment required to become an authority gets you more bang for your buck if you're working in those regulated industries."

This is where DIVAAA™ discipline meets digital visibility. Authority is not won in a single campaign. It is built methodically, the way AC guides corporates through Discover, Investigate, Validate, Adopt, Activate, and Amplify, with the Amplify stage carrying real strategic weight in an AI-mediated market. Wetherall named third-party validation as a force multiplier: commissioned research, earned media, credible reviews, and other signals need consistent language because they shape AI-led employer and brand conversations about who gets quoted. Job seekers increasingly ask AI for top employers to work with. Those systems can return variable answers to the same prompt, so consistency across inputs matters even more. For an insurer, the lab that publishes original risk research outranks the competitor that only publishes product pages.

From clicks to customers, and from operator to agentic AI boss

The metric that defined two decades of digital marketing is now misleading, and the leaders adapting fastest are measuring outcomes instead.

A business can lose half its website traffic and grow its customer base in the same quarter, because the visitors who still arrive are more qualified, and the AI overview has already done the filtering. The discipline is to track customers and outcomes, not vanity volume. Wetherall also flagged a governance risk: hallucination rates sit near 1 to 1.5% in everyday queries but can climb toward 30% on deep-research tasks, so human oversight stays in the loop.

"Clicks were a flawed metric to begin with. What we really want to track is customers."

This is agentic ai in practice: automating complex procedures and workflows. Wetherall described orchestrating AI agents for research and competitive analysis, with systems acting on multi-step plans that connect to external tools while keeping decision-making tied to clear human requirements. Move fast in the wrong direction, and you still arrive in the wrong place. These agents can work 24 hours a day without fatigue, but the benefits still depend on governance and a human team. The leaders who thrive will be agent bosses who define the problem with precision and set the framework, then let agents execute within it, the exact human-plus-AI model the Frontier Firm is built on.

Five moves to make this quarter

These five actions translate the episode into a board-ready visibility plan and clarify the next steps.

1. Rebuild your site for machines as well as people. Structure data so AI bots can crawl and quote it, giving AI systems the context they need to access the right information, and treat pricing transparency as an API problem, not a brochure.

2. Attribute every piece of content to a named expert. Authorship is now a ranking signal, so put a credible human behind each article.

3. Publish original research, not restated summaries. Commission a study, build the infographic, and earn the third-party citations that train AI to treat you as a source. In non-branded discovery, that kind of evidence becomes a high-value asset.

4. Invest in authority where the trusted pool is smallest. In regulated lines, credibility compounds faster, so prioritize reputation and earned media now.

5. Switch your dashboard from clicks to customers. Measure qualified outcomes and keep human oversight on high-stakes AI output—for example, AI agents can monitor real-time video to identify operational issues, but insurers still need governance around those outputs.

Frequently Asked Questions

What does AI say about my company, and why does it matter more than my Google ranking?

AI engines now summarise answers at the top of the results page, so customers act on what the AI says before they reach a ranked link. Brad Wetherall argues this matters more than position one because as many as 60% of searches end in zero clicks, and AI summaries change what a user sees first, which directly affects insurer visibility.

Is AI-generated content bad for SEO?

Not inherently. Brad Wetherall clarifies that unoriginal content is the problem, not AI assistance. Google de-indexed large volumes of regurgitated material in 2024, while content with a genuine expert perspective continues to perform.

What is GEO, or Generative Engine Optimization?

GEO is the practice of making content visible and citable inside AI answer engines like ChatGPT, Perplexity, and Google AI Overviews, where large language models use that content for research and generate answers. It depends on machine-readable structure, original expertise, and verifiable authority signals rather than backlinks alone.

Why do regulated industries like insurance benefit more from AI search investment? AI engines narrow their trusted sources on financial, legal, and health queries to avoid quoting unreliable information. An insurer who builds authority early is far more likely to be cited, and competitors who delay risk being excluded entirely.

How should insurers measure AI search success if clicks are falling?

By tracking customers and outcomes rather than traffic volume. Brad Wetherall notes that the central focus is qualified outcomes because AI search behavior is changing how users research and decide, so fewer, better-qualified visitors can grow a customer base even as raw click counts drop, because the AI overview pre-filters intent.

The race is already running

The brands that win AI search will be the ones that understand where the world of search is going, not just where rankings used to stand. They will be the ones building authority, originality, and trust before competitors realize the page has been redrawn. Insurance has a structural advantage here because trust is the trade. The only question left is whether your organization starts building that authority this quarter or spends next year playing catch-up with a clear strategy it can defend as AI search keeps evolving. Which will it be?

Listen to the full conversation with Brad Wetherall on the Scouting for Growth podcast, available on Apple Podcasts, Spotify, and Podbean, and explore more at alchemycrew.ventures/amplifying-success. Join future updates and the follow-on discussion.

Sources and citations

Brad Wetherall

AI and the Future of Search 

Esquire Digital

Google EEAT (Expertise, Experience, Authoritativeness, Trustworthiness) guidance 

Google I/O (Elizabeth Reed, VP of Search, on the shift from search engine to answer engine)