01
Paid channel dependence
When most new demand begins with media spend, changes in auction costs or performance can quickly change the acquisition plan.
Customer acquisition, beyond one channel
Make AI search an earned discovery channel.
Paid media can create demand on schedule. It can also leave growth exposed to rising costs, audience saturation, and a small number of channels. Wildcard helps ecommerce brands earn visibility inside AI recommendations, then connect that discovery to commercial outcomes.
The concentration problem
A useful channel can still become too much of the plan.
02
Audience saturation
The same reachable audiences see the same messages repeatedly, leaving teams to search for new pockets of efficient attention.
03
Rising costs
More budget does not always create proportional reach or learning. Every additional dollar faces a higher bar for capital efficiency.
04
Need for durable discovery
Brands want organic and earned routes that keep helping shoppers find them after a campaign window closes.
Two different jobs
Ads buy placement. AI answers assemble recommendations.
A shopper can ask for the best product for a specific need, compare options, question an ingredient, or narrow a category through conversation. The answer is shaped by available product information and sources, not by a media slot the brand purchased.
Paid media
Controlled distribution
- Reach is purchased against targeting and campaign settings.
- Spend and creative can be adjusted on a short cycle.
- Useful for launches, demand capture, retargeting, and message tests.
AI discovery
Earned consideration
- Inclusion depends on the question, available evidence, and the model.
- Useful product facts and source coverage can support many research journeys.
- No brand can buy, control, or guarantee the generated answer.
What Wildcard tracks
Turn a changing answer surface into observable work.
Wildcard evaluates a stable set of prompts, preserves what appeared, and separates visibility signals from commercial outcomes. Teams can see the answer, the sources behind it, and the next action in one operating view.
Explore prompt tracking01Brand and product mentions
02Share of observed answers
03Answer position where meaningful
04Source citations and domains
05Competitor presence
06Product fact accuracy
07AI referral sessions
08Orders and assisted revenue
Track, act, publish, measure
Give earned discovery an operating rhythm.
Visibility alone is a report. The value comes from using evidence to choose work, shipping that work, and returning to the same questions to see what changed.
01
Track
Run a stable set of product-research prompts across supported AI surfaces. Record mentions, products, competitors, answer context, and cited sources.
02
Act
Turn answer gaps into a ranked work queue. Decide which product facts, pages, comparisons, or external sources need attention first.
03
Publish
Ship approved changes to the places models and shoppers can use, from product detail pages and guides to structured data and source outreach.
04
Measure
Repeat the same prompts, compare the observed answers, and read visibility alongside referrals, assisted journeys, orders, and revenue.
Attribution without overclaiming
Follow the journey, then label what the evidence supports.
Some AI visits arrive with a visible referrer. Others influence research before a shopper returns through search, direct, email, or paid media. Wildcard keeps direct and assisted evidence distinct.
Explore revenue attributionIllustrative attribution view
Example labels and values, not a customer result
1,240
Observed AI referrals
38
Directly attributed orders
$7.8K
Assisted revenue
Direct
AI referrer or tagged link is present in the recorded session before conversion.
Assisted
AI discovery appears earlier in the known journey, while another channel receives the final touch.
Observed visibility
A brand appears in tracked answers, but no person-level visit or conversion link is claimed.
Attribution depends on available referral, analytics, identity, and commerce data. Dark or cross-device journeys may remain unattributed.
From visibility to commercial evidence
See how the operating loop looks in practice.
The Dosaze customer story documents the prompt baseline, publishing work, source movement, and AI-attributed revenue reported from the brand's own data.
Questions
Frequently asked questions
Does AI-search visibility replace paid media?
No. Paid media remains useful for controlled reach, launches, retargeting, and testing. AI-search visibility adds an earned discovery channel so acquisition is not concentrated in one source. The goal is a more balanced mix and better capital efficiency, not the removal of paid media.
How are AI recommendations different from ads?
An ad is purchased placement with defined targeting and spend. An AI recommendation is generated in response to a shopper question from the information and sources the model can access. Brands cannot buy or guarantee the answer. They can improve the clarity, authority, and coverage of the information that informs it.
What does Wildcard track?
Wildcard runs stable prompt sets across supported AI answer and shopping surfaces, then records brand mentions, products named, answer position where meaningful, cited sources, competitor presence, product fact accuracy, and changes over time. Coverage varies by surface, market, category, and account context.
How does attribution work when a shopper discovers us through AI?
Wildcard connects observed visibility with first-party referral and commerce data where available. Teams can review AI referral sessions, landing pages, assisted journeys, orders, and revenue. Direct referral attribution is strongest when the AI surface passes a referrer or tagged link. Assisted influence is reported separately when a shopper returns later through another route.
What content helps a brand become easier to recommend?
The right work depends on the prompt and source gaps. It can include clearer product detail pages, comparison pages, buying guides, collection copy, FAQs, structured product data, and third-party source outreach. Wildcard prioritizes work against observed answers rather than publishing content without a measured reason.
How long does it take to see a change?
There is no fixed timeline or guaranteed result. AI surfaces refresh sources and answers on different schedules, and outcomes depend on category competition, source access, content quality, and the work published. Repeated prompt tracking shows whether visibility changes after each release.
Can Wildcard guarantee inclusion in an AI answer?
No. Third-party AI systems control their own answers. Wildcard measures observed responses and helps teams improve the product facts, pages, and source coverage they can influence.
Where should an ecommerce team start?
Begin with a focused set of high-intent questions that reflect real product research, such as best-for-use-case, comparison, ingredient, fit, compatibility, and gifting questions. Run a baseline audit, inspect who and what gets cited, then prioritize the smallest set of useful changes with clear measurement.
Add an earned route to product discovery.
Start with the questions shoppers ask, see where your brand appears, and build a measured publishing plan around the gaps.