How answer engines are redefining brand discovery

The digital landscape is undergoing its most radical shift since the birth of SEO: the rise of Answer Engine Optimisation (AEO). 

Platforms like ChatGPT now function as “answer engines” rather than traditional search engines, a shift with clear commercial impact with referrals from answer engines converting at 11.4%, compared to just 5.3% for organic search¹ .

We are moving from an era of “blue links” to one of “direct answers,” where AI tools synthesise information and deliver recommendations - all without users clicking through to a website. So the new mandate for businesses is ensuring that when consumers are asking AI engines, their business profile has been optimised to make sure it is visible in this new channel where consumers are discovering products and services.

However, this transformation is unfolding amid a profound crisis of trust. While 93% of executives believe their customers trust their brand, only 30% of consumers say they actually do². 

As AI evolves toward “agentic commerce”, capable of taking actions such as buying products on a user’s behalf, trust becomes a critical component of these systems. It is essential that AI agents make decisions grounded in credible, verified data.

To bridge the trust gap, businesses must shift away from closed-door feedback mechanisms like private surveys and toward transparent, third-party platforms that AI models can crawl, verify, and incorporate into their recommendations.

The death of the click?

AI tools have fundamentally changed how consumers search for information.

Fewer links, if any, are now required to reach an answer, which are increasingly delivered instantly within the user’s conversation. Unsurprisingly, this shift to a “zero-click” environment is reducing traffic to traditional websites. As a result, brands risk becoming effectively invisible if they do not appear within AI tool responses. 

The trend has accelerated rapidly: in 2023, only 25% of consumers used AI tools to find products or services, but that figure more than doubled to 58% in late 2025³. If a brand is not mentioned by AI, it may effectively cease to exist for a majority of modern searchers. This is putting increased pressure on companies to maintain visibility and adapt their strategies in this new zero-click landscape.

Adapting to the AI-first era

As AI tools rapidly become the primary gateway to information, marketing teams can no longer rely on traditional keyword-stuffing. Instead, they must craft content around real questions and structure data in a way that the AI tools can easily interpret and surface. 

In 2026, marketing will increasingly revolve around content freshness, with teams updating information weekly, or even daily, to stay aligned with the way AI tools favour the most current data. In this new landscape, success will come to those who think beyond search terms and embrace a dynamic and agile approach to content.

Equally important is understanding how AI tools evaluate credibility. Sentiment is analysed within content, such as customer reviews, to cut through potential commercial bias and recommend brands with greater confidence. Sources with high domain authority and large volumes of user content, like Trustpilot or Reddit, are key data sources for AI tools⁴. These open platforms transform users’ experiences into structured, machine-readable data, where both the volume and frequency of reviews act as trust signals, helping to verify a company’s credibility.

Thriving in an era of AI-powered product discovery means not only optimising content but also demonstrating transparency and trustworthiness in ways that AI can recognise and value.

Mastering the three ‘R’s of visibility

If brands want to build strong reputations and improve their chances of appearing in the answers generated by AI tools, whether or not they’ve paid for advertising, they need to keep in mind the three ‘R’s and ask themselves these important questions:

• Relevance: Does your content answer the right questions?

• Ranking: Are your communities talking about you in the right places?

• Recency: Can AI tools find accurate, up-to-date content about your business? 

As AI tools continue to evolve, consumer trust plays a central role in its responsible adoption and how brands are discovered through answer engines. With around one billion people now using AI tools to research and inform their decisions visibility within these systems is increasingly important for brands. It is clear AI tools are making trust and consumer voices more powerful in brand discovery. Unlike traditional search or advertising, AI tools prioritise relevance, ranking, and recency meaning that authentic consumer feedback is more important than ever.

Reviews and ratings no longer just inform individual decisions, they actively shape which brands are surfaced and recommended. For businesses, this emphasises the need to cultivate trust consistently, engage with their communities meaningfully, and ensure their content is accurate and up to date, as these factors now directly impact discoverability. 

Notes

This article by Kate Delaney first appeared online for Little Black Book.

1 Similarweb’s 3rd Annual Global Ecommerce Report: Growth Shifts to Apps and AI

2 PWC’s 2024 Trust Survey

3 From hype to habit: How consumers are embracing AI from Capgemini

4 PromptWatch data from report on “The Most Cited Domains on ChatGPT in January 2026