Get your free personalized podcast brief

We scan new podcasts and send you the top 5 insights daily.

Traditionally, customer discovery is a top-of-funnel, hard-to-measure activity. However, as consumers use conversational AI to find products and solutions, these interactions will become the next major performance marketing channel with clear metrics for driving outcomes.

Related Insights

The traditional marketing funnel of discovery, consideration, and conversion is being condensed. AI engines handle all three stages within a single conversational interface, moving the customer journey into a "black box" away from brand-owned websites.

The future of B2B marketing is not SEO; it's being the default recommendation when a user asks an AI agent for a solution. Software buyers will increasingly trust an agent's direct answer over traditional discovery channels, making it critical for vendors to win this new point of discovery.

Marketers mistakenly view conversation intelligence platforms like Gong as sales-only tools. They should be using them to extract customer language for keyword research, identify conversion signals for ad platforms, and find emerging customer needs to create timely offers. It's a direct line to the voice of the customer.

As AI assistants answer initial queries, the visitors who reach your site are more informed and qualified. This may lead to fewer total visits but higher quality interactions. Marketers must shift from volume metrics (page views) to value-based KPIs like conversion rates and qualified demand.

Consumers use AI tools like ChatGPT for product discovery, receiving relevant brand recommendations they were previously unaware of. This lengthens the consideration phase, creating a new battleground for marketers in the middle of the funnel.

With buyers completing nearly 80% of their research using tools like Generative AI before vendor contact, the linear funnel is dead. Traditional metrics like MQLs and SQLs are meaningless. Go-to-market strategies must be rewritten to influence buyers during their independent, non-linear discovery phase.

Traditional marketing reacts to expressed intent, like a search query. AI-powered conversational interfaces allow brands to engage consumers during their open-ended discovery phase, helping to shape and create demand before a specific product is even considered.

As consumers increasingly use AI assistants for discovery, the key to success will be strategically blending paid placements and organic, helpful information within these multi-turn conversations. This convergence is an emerging opportunity that few are discussing.

For years, the customer journey started with a Google search. That paradigm is now shifting as users begin their discovery process by having conversations with LLMs. This fundamentally changes product design and go-to-market strategy, as the primary interface is no longer a company's website.

As customer interactions become increasingly conversational via chatbots and AI agents, traditional CX analytics focused on clicks are incomplete. The next frontier is analyzing the content and quality of these conversations to get a full picture of the customer experience, moving towards a single source of truth.

Conversational AI Will Transform "Discovery" into a Measurable Performance Channel | RiffOn