Wildcard

What is Wildcard?

Wildcard helps ecommerce teams improve product visibility and conversion in AI shopping experiences. It monitors whether and how products are recommended across surfaces such as ChatGPT Shopping, Gemini and Google AI Mode, Amazon Rufus, Walmart Sparky, Perplexity, and emerging assistants. Teams can track rankings, compare competitor products, test buyer personas and likely prompts, and identify incomplete or inconsistent product data that may limit discoverability.

The platform also develops infrastructure for conversational checkout. Its early-access workflow maps live product feeds with inventory, price, and attributes to supported commerce protocols, creates checkout endpoints for existing payment providers, and routes orders into the merchant's order-management system. AI recommendations remain controlled by third-party platforms, so optimization cannot guarantee placement or sales. Catalog accuracy, consumer law, pricing, inventory, reviews, payments, and fulfillment remain merchant responsibilities.

How to Use Wildcard

1. Connect or submit an authorized product catalog and define priority markets and assistants.
2. Audit titles, descriptions, attributes, identifiers, price, availability, reviews, and source consistency.
3. Configure representative buyer personas, prompts, competitors, and product groups.
4. Monitor recommendations and rankings over time instead of relying on one query.
5. Apply catalog improvements and measure qualified AI traffic and conversion.
6. For checkout beta, validate protocol mapping, payments, tax, inventory, refunds, and fulfillment end to end.

Core Features

• AI shopping monitoring: Tracks product appearance and ranking across major assistants.
• Catalog optimization: Identifies data gaps and attributes that influence product understanding.
• Competitor intelligence: Compares products, prompts, rankings, and winning catalog signals.
• Persona and prompt tracking: Tests the queries likely to be used by target shoppers.
• Cross-channel coverage: Monitors multiple AI commerce surfaces from one catalog strategy.
• Conversational checkout: Supports product feeds, checkout APIs, payment providers, and order routing in beta.

Use Cases

• Improve how a direct-to-consumer catalog is represented in AI answers.
• Detect competitors winning prompts relevant to a product category.
• Prioritize catalog enrichment based on missing attributes and recommendation gaps.
• Prepare a merchant stack for supported in-chat checkout protocols.

Pricing

Wildcard offers tiered Startup through Enterprise plans based on products monitored and shopping platforms covered, but the current public page does not publish numeric prices. Prospective customers need to contact the company or book a demo. A free audit is advertised. Confirm catalog limits, query frequency, channels, integrations, reports, checkout beta terms, and support.

Frequently Asked Questions

Can Wildcard guarantee a product recommendation?

No. AI assistants control their own retrieval and ranking, which can change without notice.

Does it cover only ChatGPT?

No. The site lists ChatGPT, Google and Gemini surfaces, Amazon, Walmart, Perplexity, and others.

Who is responsible for checkout and fulfillment?

The merchant remains the system of record and merchant of record, responsible for payments, inventory, taxes, customer service, returns, and fulfillment.