Buying and selling that happens inside a conversation with an AI assistant, rather than a conversation that sends someone to a separate website to check out. For agencies, it means the ad and the point of sale can now be the same interaction.
Conversational commerce describes transactions completed inside a chat or voice interface: an AI assistant answers a question, makes a recommendation, and lets the person buy right there, without a redirect to a retailer’s site or app. It has existed in smaller forms for years, chatbots with buy buttons, but 2026 made it mainstream. Amazon’s Alexa+ launched agentic ads that can complete a purchase, and several AI assistants expanded shopping features directly inside their answers.
The shift that matters for advertising is structural. In a conversational commerce interaction, the AI assistant is simultaneously the answer engine, the recommendation engine, and the checkout counter, which means a brand’s presence in that single exchange is doing the job that used to take a search ad, a product page, and a cart flow.
Conversational commerce compresses the funnel an agency has spent years instrumenting into one interaction it often can’t fully see inside.
Attribution gets harder before it gets easier. When the discovery, decision, and purchase happen in one AI conversation, the neat separation between awareness media and performance media starts to blur, and the tracking agencies rely on wasn’t built for it.
Being recommended replaces being clicked. If an AI assistant only surfaces two or three options inside its answer, an agency’s job shifts toward making sure a client’s product data, reviews, and availability are accurate and complete enough for the assistant to choose it, not just optimizing an ad creative.
It creates a new production requirement. Product information has to be structured well enough for an AI agent to read and transact on it correctly, which means agencies working on commerce accounts need to care about feed quality and structured data the way they used to care about landing page copy.
A DTC skincare client’s product data, pricing, ingredients, reviews, sits in a feed an agency cleaned up for a shopping ads campaign. When a conversational assistant starts recommending products inside chat, that same feed becomes the thing determining whether the client’s product gets surfaced at all. The agency adds feed accuracy and structured product data to the account’s monthly checklist, treating it as seriously as ad copy, because a wrong price or an out-of-stock item in the feed now means a lost sale inside a conversation the agency never sees.
The automations and agents module of the workshop teaches you how to build AI workflows that compress the busywork without taking the craft out of the studio.