Track
Run stable prompt sets and preserve the observed answer.
AI answer and shopping surfaces
One product story, many answer 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
Track each surface on its own terms.
The labels describe Wildcard’s current monitoring or integration posture, with platform and category limits stated directly.
Shipping
Monitoring is available for defined prompt or query sets.
01
ChatGPT
Monitor how ChatGPT describes, compares, and recommends products across research and shopping prompts, including where owned pages are visibly used as context.
Shipping
02
ChatGPT Apps
Track the dedicated app and commerce route inside ChatGPT, including how eligible integrations surface in conversations and drive checkout.
Shipping
03
Google Gemini
Monitor product-research prompts, answer variation, product facts, and visible grounding across defined observations.
Shipping
04
Google AI Overviews
Observe overview appearance, product mentions, visible source links, and evidence across tracked commercial queries.
Shipping
05
Perplexity
Map product mentions to visible citations, source roles, research prompts, and referral outcomes.
Shipping
06
Claude
Track how Claude frames product-research questions, compares options, and represents product facts across single-turn and follow-up prompts.
Shipping
07
Amazon Rufus
Track applicable shopping prompts and product visibility inside Amazon, including marketplace and shopper-experience context.
Shipping
08
Amazon Alexa for Shopping
Observe how Alexa handles voice-first shopping prompts, product comparisons, and reorder flows, with catalog and availability context preserved.
Shipping
09
Walmart Sparky
Observe applicable product-discovery prompts inside Walmart, with rollout, category, and shopper-experience differences kept visible.
Shipping
A shared operating loop
Observe what changed. Improve what you control.
Each surface presents answers differently. The work still follows a clear sequence from prompt selection to source inspection, approved content changes, and outcome reporting.
Inspect
Review mentions, product facts, sources, and coverage limits.
Improve
Approve clearer catalog and page inputs your team controls.
Measure
Compare repeated observations with referral and order context.
Questions
Frequently asked questions
Which AI surfaces does Wildcard monitor?
Wildcard supports monitoring across major answer and shopping surfaces including ChatGPT, ChatGPT Apps, Google Gemini, Google AI Overviews, Perplexity, Claude, Amazon Rufus, Amazon Alexa for Shopping, and Walmart Sparky. Observed answers can still vary by plan, category, market, account, and prompt, and Wildcard preserves that context in every readout.
Does Wildcard use the same measurement for every surface?
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.
Can Wildcard guarantee that a product appears in an AI answer?
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.
Why do some surfaces say coverage varies?
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.
What should teams measure across surfaces?
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.
Start with the surfaces your customers use.
Build a prompt set around real research journeys, inspect the observed evidence, and prioritize the product facts and pages your team can improve.