Consumer Behaviour
Brand discovery
Brand discovery is the process by which someone encounters a brand for the first time, or becomes newly aware it can solve their problem. It happens across search results, AI assistants, social feeds, communities, creators, reviews, marketplaces and word of mouth. Marketers study it to work out which surfaces introduce them to future customers.
What it is
Brand discovery covers the earliest stage of the customer journey, before intent is strong enough to produce a branded search. It is usually indirect: a recommendation in a forum thread, a mention in an AI answer, a creator video, a listicle or a colleague's suggestion. The brand often has no direct control over the surface where discovery occurs.
Why it matters
Branded search, direct traffic and conversion rates all depend on awareness created earlier, so measuring only last click activity hides where demand comes from. AI assistants and social platforms increasingly compress discovery into a single answer or feed, which means being absent from the sources those systems draw on removes you from consideration. Brands that appear in comparison content, reviews and community discussion get recommended more often.
How it works
Practitioners map the surfaces where their category gets discussed, then work to be present and accurately described there through content, PR, creator partnerships, review coverage and consistent naming. They ask assistants and search engines category questions to see which brands get named, and interview new customers about how they first heard of them. Branded search volume and direct traffic are then tracked as downstream signals of discovery activity.
When it applies
It applies to any category where buyers do not already know the vendor set, including new markets, new products and crowded categories. It matters most when growth depends on creating demand rather than capturing it.
Examples
- A B2B software buyer finds a vendor named in an AI assistant answer to 'best tools for invoice approval', then searches the brand directly a week later.
- A skincare brand is mentioned in a Reddit thread comparing routines and sees a rise in branded search from that country.
- A first time customer survey shows that a third of new signups first heard of the brand through a YouTube review rather than search.
How it is measured
- Branded search volume and impressions over time
- Share of category prompts in AI assistants and search where the brand is named
- Self reported first touch source from post purchase or signup surveys
- New versus returning visitor mix and direct traffic trend
Related terms in Consumer Behaviour
- Agentic browserA browser (or browsing layer) that uses an LLM agent to interpret pages, summarise content, and take actions on behalf of the user. Arc Search, Perplexity Comet, Browser Company's Dia, Dia browser, and similar.
- Agentic commerceAgentic commerce is buying and selling in which an AI agent completes part or all of the purchase on a person's behalf, from finding products to placing the order. Instead of browsing a site, the shopper states an intent and the agent searches, compares, fills the cart and sometimes pays. It shifts the point of decision away from the merchant's own interface and towards the assistant.
- App discoveryApp discovery is the set of ways people find and decide to install mobile apps, including store search and browse, editorial placements, web search, social feeds, advertising, AI assistants and word of mouth. It covers the whole path from first awareness to tapping install. Growth teams study it to work out which surfaces create demand and which only capture it.
- Brand demandSearch volume for branded terms. In an AI-search world, brand demand is the single strongest moat, generic queries are absorbed by AI Overviews and ChatGPT, while branded queries route users directly to brand properties.
- Consumer behaviour signalObservable patterns in how users phrase queries, refine searches, and choose answers, used by both ranking systems and generative models to infer intent and quality.
- Conversational searchConversational search is the pattern of finding information through a back and forth dialogue rather than a single keyword query, with each follow-up interpreted in the context of what came before. Users ask broad questions, then narrow with refinements such as cheaper, nearby or without the subscription. It shifts discovery from ranked link lists towards answers that must survive several rounds of questioning.