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Wildcard

AI search optimisation for ecommerce — track ChatGPT/Gemini/Perplexity rankings, fix catalogue data, attribute revenue

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paidAction-based credit pricing across two published self-serve tiers plus a custom Enterprise tier, each with a 14-day free trial. Starter is $249 per month for 2,000 credits, roughly 20 content pieces per month, 150 tracked prompts, 50 tracked products and 1 workspace, including the dashboard, recommendations and the Shopify integration. Growth is $499 per month for 8,000 credits, roughly 80 content pieces, 500 tracked prompts, 500 products and 3 workspaces, adding headless/API access, advanced reporting, data export, custom integrations, Slack support and a dedicated account manager. Enterprise is contact-priced with unlimited content, prompts, products and workspaces, plus SSO, an SLA and PIM connection. Refresh frequency is weekly on both paid self-serve tiers.View full pricing →

Visit Wildcard

https://wild-card.ai

About Wildcard

Wildcard is an AI-search optimisation platform built specifically for ecommerce and retail rather than for brand monitoring generally. The premise is that a growing share of purchase research now happens inside ChatGPT, Gemini, Perplexity and Claude, where the answer names three to five products and everything else is invisible — so the useful question is not whether your brand is mentioned but whether your SKUs make the shortlist. The workflow is four steps. You connect a catalogue (Shopify, BigCommerce, Salesforce, WooCommerce, Akeneo or Salsify, or a PIM), and products, collections and pages sync. Wildcard then tracks real buyer prompts with search volume, run weekly across each assistant, and reports where you rank on each. Gaps become a roadmap of drafted work — enriched product attributes, collection pages, blog posts, FAQs, JSON-LD schema, press outreach, Reddit and YouTube — with agents writing the drafts and nothing publishing without human approval. The fourth step is attribution: orders tied back to the AI surface that produced them, so the spend has a revenue number attached rather than a visibility score. The before/after framing the vendor uses is concrete — a product with no structured attributes cited in 2 of 12 tracked prompts, versus the same product with 14 attributes cited in 9 of 12. The company is Y Combinator-backed and publishes a free visibility audit.

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Key Features

Prompt-level rank tracking across ChatGPT, Gemini, Perplexity and Claude
Catalogue sync from Shopify, BigCommerce, Salesforce, WooCommerce, Akeneo and Salsify
Product attribute enrichment with before/after citation counts
Agent-drafted collection pages, blogs, FAQs and JSON-LD, gated on human approval
Press, Reddit and YouTube outreach drafts
Revenue attribution per AI surface
Free visibility audit

Wildcard Pros & Cons

Pros

  • +Commerce-specific rather than a general brand-monitoring tool with a shopping tab
  • +Ties AI visibility to attributed orders instead of stopping at a mention count
  • +Nothing publishes without approval, so drafted content cannot embarrass the brand

⚠️ Cons

  • $249 per month entry point is steep for a store still validating demand
  • Starter tracks only 50 products, which covers a fraction of a real catalogue
  • Credit-metered actions make monthly cost hard to predict before you have a baseline

Tags

geoai-searchecommerceshopifyschemaattribution
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