Track
Run stable prompt sets and preserve the observed answer.
AI answer and shopping surfaces
See how products appear across current AI research and shopping experiences. Wildcard preserves the surface-specific details while giving your team a shared way to inspect evidence, improve inputs, and measure change.
Current surface directory
The labels describe Wildcard’s current monitoring or integration posture, with platform and category limits stated directly.
Monitoring is available for defined prompt or query sets.
The dedicated app or commerce route depends on eligible platform programs and integration scope.
Useful observations depend on surface availability, market, account, category, or query context.
A dedicated app and commerce route. Availability depends on platform programs and the integration being built.
Monitor product-research prompts, answer variation, product facts, and visible grounding across defined observations.
Observe overview appearance, product mentions, visible source links, and evidence across tracked commercial queries.
Map product mentions to visible citations, source roles, research prompts, and referral outcomes.
Monitor selected product-research prompts while keeping category, account, context, and web-access variation explicit.
Track applicable shopping prompts and product visibility. Marketplace and shopper experience coverage can vary.
Observe applicable product-discovery prompts while accounting for rollout, category, and shopper experience differences.
A shared operating loop
Each surface presents answers differently. The work still follows a clear sequence from prompt selection to source inspection, approved content changes, and outcome reporting.
Run stable prompt sets and preserve the observed answer.
Review mentions, product facts, sources, and coverage limits.
Approve clearer catalog and page inputs your team controls.
Compare repeated observations with referral and order context.
Questions
Wildcard supports defined monitoring across major answer and shopping surfaces including Google Gemini, Google AI Overviews, Perplexity, Claude, Amazon Rufus, and Walmart Sparky. Dedicated ChatGPT app and commerce work is shown separately as beta. Coverage can vary by plan, category, market, account, and surface availability.
No. Shared measures such as mention coverage and answer accuracy create a common baseline, while surface-specific measures cover visible citations, source links, overview appearance, follow-up conversations, or marketplace context where applicable.
No. Wildcard does not control any third-party answer or shopping surface. It records observed results and helps teams improve the clarity, completeness, and consistency of product information on sources they manage.
Surface availability and useful product-research behavior can differ by account, market, device, category, query, or rollout. The label keeps that limitation visible rather than presenting every observation as directly comparable.
Start with a stable prompt set, then compare mention coverage, answer position where meaningful, source presence, product fact accuracy, and variation over time. Review referral sessions and orders alongside visibility changes where data is available.
Build a prompt set around real research journeys, inspect the observed evidence, and prioritize the product facts and pages your team can improve.