From search to selection: Insurers must fight to be the answer

The customer journey is collapsing into a single conversation – something we’ve been helping brokers and insurers prepare for over the past 18 months. It is no longer theoretical, and the implications are clear: if you’re not the answer the AI provides, you may never get the chance to compete.

In early 2026, US-based aggregator Insurify launched a service enabling users to compare car insurance quotes directly within ChatGPT, while Spanish insurer Tuio moved to offer home insurance quotes through the same interface. The market reaction was immediate. Shares in Moneysupermarket owner MONY fell 13% to their lowest level in over a decade, as investors recognized what this signals: generative AI is not just shaping discovery – it is becoming the point of transaction.

This was felt across the market, and it has not taken long for mainstream incumbents to commit. On 24 March 2026, Aviva announced the launch of its own home insurance application within ChatGPT, allowing customers to input their details conversationally, receive a personalized quote within minutes and click through to purchase.

This comes just weeks after the first wave of disruption. What began as experimentation is rapidly becoming an industry shift – and it is happening faster than most incumbents are prepared for. Comparison, selection and purchase are beginning to happen within a single conversational environment, with fewer reasons for customers to ever leave. For insurers that means fewer opportunities to be seen, fewer chances to differentiate and a growing risk of being excluded entirely from the journey.

The implication is clear: the insurance discovery model is fracturing. Those who act now have a window to shape how they are surfaced. Those who wait risk being filtered out before they are ever considered.

This isn’t just hype, it is a shift has been building – and it’s not reversing

This is not speculative. By Q3 2025, 77% of ChatGPT users were already treating it as a primary search tool. Today, AI assistants account for 56% of global search volume.

The result – a fundamental compression of discovery: fewer steps, fewer choices, less visibility.

This trend is playing out in zero-click behavior. In 2024, nearly half (47%) of finance-related Google searches were triggering AI-generated summaries, with 75% of those searches ending without a click. That means that users are getting the answers they need directly from search results and AI-generated summaries, without ever needing to visit a website.

Now, in 2026, a larger change is playing out. While search engine click-through rates continue to fall, they are no longer the primary metric. Why? The reason is simple: users are no longer just relying on AI-generated summaries within search – they are increasingly operating within the AI platforms themselves. Consumers are not just clicking through to websites less; they are not using those search engines at all. Falling click through rates therefore only tell half the story of changing search behavior.

Digital discovery has long played a central role in insurance, particularly in UK personal lines where price comparison websites still dominate. But what we are seeing now is the natural next step: discovery, comparison and transaction converging into a single interaction.

This is not hype, and it is not temporary. It reflects a structural shift in both technology and consumer behavior – one that is already reshaping how customers find and buy insurance.

Five things insurers need to do to stay visible and selectable

So, what have we learned from helping brokers and insurers prepare for this moment over the past 18 months? Act on five fronts:

1. Optimize for answer engines, not just search engines. Research shows that over 60% of what AI models learn about brands comes from third-party sources, not your own content. Media coverage, customer reviews and public data shape how you’re represented far more than your website does. You need to build credibility where AI models actually look.
2. Make your data machine-readable. Generative AI favors data it can parse and query in real time. Open APIs that expose pricing, product details and eligibility increase your chances of being recommended. Without structured, accessible data, your product won’t make the shortlist.
3. Embed where customers already are. Embedded insurance is projected to represent 15% of global premiums within a decade. While embedded insurance has been discussed for over a decade with uneven adoption, AI-driven journeys may finally make it viable at scale. This could allow insurance selection to be built directly into personalized, LLM-enabled experiences. It works because it puts coverage in context, within a purchase, a booking, or a platform experience. Successful insurers will be those who integrate distribution into third-party journeys.
4. Build a conversational interface with real utility. While a chatbot won’t directly boost your visibility in third-party GenAI tools, it creates a direct customer channel, and crucially, gives you live insight into what people are asking. That data can help shape how your brand shows up across the web. Tools that integrate via plugins or APIs may also help, as they can be directly surfaced in platforms like ChatGPT.
5. Monitor and manage sentiment actively. AI models factor customer sentiment into their responses. Poor reviews, low ratings, or weak trust signals will suppress your visibility. Reputation has always mattered, now it directly affects algorithmic selection.

Conclusion: Be the answer, or be invisible

Search marketing got you on the page. AI means you need to fight to be the answer itself. Insurers don’t need more theory, they need action. Become machine-readable, context-aware and reputation-strong. Because when someone asks a machine for the best option, you won’t get a second chance to show up.