AI can explain why.
Evidence can prove what.
DubbleBlack connects decision context to verified outcomes through Powder.
The journey begins before the click.
A specific consumer problem becomes a high-intent conversation inside an AI shopping experience.
“His food is upsetting his stomach and he is losing interest in eating.”
The partner understands the decision.
The assistant asks questions, compares options and recommends the best fit. The experience stays partner-owned.
My 10-year-old dog has a sensitive stomach and is losing interest in kibble.
Is convenience important, and are you open to fresh food?
Recommended fitFresh Turkey Senior FormulaPersonalized portions · easy digestion · delivered
Why the product was recommended
What the consumer purchased
Commerce evidence is the product.
Powder turns observed behavior and verified outcomes into trusted evidence products for enterprises and AI agents.
CONTEXT: senior_digestive
RECOMMENDATION: fresh_turkey_senior
DECISION_REASON: gentle_fresh_delivery
CLICK_POINT: assistant_turn_6
CID: cid_7F3A9C21SKU: PET-FRESH-TURKEY-14D
CLICK_TO_PURCHASE: 00:02:17
OUTCOME: verified_purchase
REPEAT: day_28
EVIDENCE_STATE: qualifiedSnowcat captures what happened next.
DubbleBlack’s vertical networks contribute offers, clicks, SKUs, promotions, commissions and verified outcomes.
PET-FRESH-TURKEY-14DSENIOR20clk_82A14$20.80ord_10473day_28Snowplow captures the why.
Partner integrations move consented conversation signals, recommendation context and a commerce identifier into Powder.
senior_digestive4 matched SKUsfresh_turkey_seniorgentle + fresh + deliveryassistant_turn_6cid_7F3A9C21Snowgun creates revenue and more evidence.
Paid AI Commerce programs increase distribution and commerce activity without buying recommendation rank.
Paid brand participation and managed programs
Commission on verified commerce outcomes
More measurable journeys flowing into Powder
Every connected event deepens the snowpack.
More brands, partners, conversations, clicks and transactions create a denser and more defensible commerce dataset.
Snow Report measures the shelf AI is building.
It captures what leading AI platforms recommend and cite, then Powder tests those observations against verified commerce outcomes.
What does AI recommend, why does it recommend it, and which sources shape the answer?
01Recommendation share
02Citation provenance
03Prompt-to-product paths
04Outcome-adjusted ranking
The recommendation gets a receipt.
The same CID connects the exact conversational moment to the click, purchase and eventual repeat behavior.
PET-FRESH-TURKEY-14DEvery answer carries an evidence score.
The score reflects the amount, relevance and quality of evidence Powder has for the specific context.
Fresh Turkey Senior Formula
Strong evidence for this context: senior dogs with digestive sensitivity.
Powder turns evidence into products.
One truth layer can produce multiple intelligence products for different commercial questions.
What consumers ask for and actually buy
Needs, preferences, objections and decision paths
Exposure-to-purchase performance by product
Observed sensitivity tied to outcomes
Evidence available for a specific product, need and decision context
Demand shifts, repeat behavior and emerging products
One intelligence layer. Two routes to market.
FirstParty serves enterprise buyers. ZeroClick lets AI agents purchase verified Powder data on demand.
Demand, objections, product fit and offer performance
Verified product and outcome data purchased at the moment of need
Category, product and emerging demand intelligence
Aggregated demand, velocity and repeat behavior
A third-party AI agent purchased Powder commerce evidence.
An independent agent built on Claude purchased Powder evidence from DubbleBlack through ZeroClick, then used it to make its own final decision.
Qualified evidence matched the agent’s first choice.
Insufficient evidence was not treated as negative evidence.
Powder surfaced Mobility CBD Bites and the agent changed its answer.
We are building the evidence layer for agentic commerce.
Powder gives agents trusted, contextual commerce evidence at the moment they make a recommendation.
Trusted evidence, available at the moment of decision.