Become the answerAI chooses.

Wildcard helps your products become the ones AI recommends. It shows where competitors are winning, tells your team what to improve, helps publish approved changes, and measures the traffic and revenue those changes create.

Traditional SEO tools measure search engines, keywords, and webpages. Wildcard measures brand, collection, and product recommendations inside AI answers. It tracks the buyer questions with real search volume, the products and competitors each answer recommends, the sources it cites, and the revenue that follows.

The dashboard and first recommendations are ready within minutes of connecting a catalog. Ranking movement typically begins within 2 to 4 weeks, depending on the starting state of the catalog, the category, and how quickly the brand approves and publishes recommended work.

Not by default. Wildcard drafts PDP optimizations, collection pages, blogs, Reddit replies, and outreach in the brand’s voice, and a human reviews and approves every change before it is published. Brands that want a faster loop can set up automations and agents in the platform to complete these workflows automatically, but that is an opt-in setting, not the default. The brand never loses control.

Wildcard tracks ChatGPT, Gemini, Google AI Overviews, Perplexity, Claude, Walmart Sparky, and Alexa+ Shopping. Amazon Rufus is in beta, with more coverage added as new shopping surfaces launch.

Wildcard connects AI referral sessions to your commerce and analytics stack, then reports sessions, add-to-carts, checkouts, and revenue by platform. A brand can view both first-click and last-click attribution for each AI surface.

Connect your catalog and analytics stack, choose the products and markets to track, and Wildcard builds the first ranking baseline. The connection path is mapped to the systems your team already uses.

Yes. Run a free audit to see where a brand appears across AI shopping answers. It requires no login.