A consumer looking for a new skincare product, a reliable financial service or a suitable business solution may no longer begin with a list of search results. Instead, they might ask an AI assistant to compare options, explain the differences and recommend what best meets their needs. In a single conversation, the journey from information gathering to brand consideration can take place without the consumer visiting multiple websites.
This shift is changing the digital marketing landscape. Artificial intelligence is becoming both a discovery environment, where consumers find and evaluate brands, and an emerging advertising space, where businesses compete for relevant attention. For brands, the challenge is no longer limited to securing visibility on search engines. It is about ensuring they are understood, trusted and considered when decisions are being made.
The distinction matters because appearing in search results and being recommended in an AI-generated response are not necessarily the same thing. While traditional search engine optimisation (SEO) continues to play an important role, AI-led discovery introduces another layer: how clearly a brand’s expertise, offerings and credibility are represented across the digital ecosystem.
*What should brands actually optimise for?*
Relevance, credibility and discoverability must work together. A brand needs to be visible when consumers are looking for solutions, but visibility without relevance has limited value. Businesses should ensure that their websites communicate product information, differentiators and expertise clearly, while maintaining consistent and accurate information across credible third-party sources, industry publications and review platforms. The objective is not simply to generate more mentions, but to establish a dependable body of information that helps consumers and AI systems understand what the brand offers.
Content strategy also needs a rethink. As generative AI makes content production faster and more accessible, the internet is becoming increasingly crowded with repetitive articles, generic explanations and similar-sounding brand narratives. Publishing more is no longer a reliable indicator of standing out. Original research, expert commentary, proprietary insights and practical customer experiences offer stronger opportunities for differentiation. Emerging approaches such as Generative Engine Optimisation (GEO) reflect this shift towards making information useful, accessible and easier to interpret across AI-powered discovery platforms. However, no optimisation technique can guarantee that a brand will be cited or recommended by an AI system.
Advertising presents a parallel opportunity. As platforms integrate AI-powered recommendations, conversational search and shopping experiences, brands may be able to connect their offerings more closely with consumers’ immediate needs. Google’s expanding AI-powered search and shopping experiences illustrate how advertising and discovery are beginning to converge. Yet contextual relevance alone cannot guarantee effectiveness. An advertisement must communicate a clear proposition, provide accurate information and lead to an experience that fulfils the promise made. In an environment where consumers increasingly expect personalised assistance, intrusive or misleading messaging risks undermining the very trust brands are trying to build.
Measurement, too, must evolve alongside these changes. Clicks, impressions, search rankings and website traffic remain useful, but they cannot independently explain how AI influences consideration. A consumer might discover a brand through an AI-generated answer, validate it through an independent article and convert days later through a direct website visit. Conventional attribution models may not capture the entire journey.
Brands should therefore evaluate a broader set of indicators, including visibility across relevant AI responses, accuracy of brand representation, qualified traffic, lead quality, conversion rates and customer acquisition costs. These metrics should be assessed together, with a clear connection to commercial outcomes, rather than treated as another collection of vanity measures.
Ultimately, AI is changing the routes through which consumers encounter brands, not eliminating the fundamentals of effective marketing. Businesses cannot control every algorithm or guarantee a place in every AI-generated recommendation. They can control the quality of their information, the strength of their expertise, the credibility of their claims and the consistency of the experience they deliver.
The real opportunity lies in treating AI as an extension of the broader discovery and advertising ecosystem rather than a separate channel to be optimised in isolation. The brands most likely to earn lasting consideration will be those that combine discoverability with genuine differentiation and credibility. When answers become easier to generate and choices become easier to compare, being visible is only the beginning. Giving consumers a convincing reason to choose a brand is what ultimately matters.
