User-approved commercial signals
Users choose which information, interests, preferences or intent signals can be used for commercial discovery.
Published patent application · US20220414265A1
A patent-backed commercial signal architecture for the AI era.
Yamu exists to open a serious conversation about the next layer of digital commerce: how users approve commercial intent, how platforms broker relevance without unnecessary identity exposure, how advertisers respond to genuine opportunity, and how value exchange is protected by engagement, feedback and anti-gaming safeguards.
What the patent brings into focus
User-approved signals · anonymised relevance · vendor requirements · propensity-based signal quality · feedback loops
A public, non-confidential introduction to Yamu’s commercial signal thesis.
Patent foundation
Yamu is built around more than consent. It is a patent-backed commercial signal system.
At a public level, the published application supports a wider architecture for permissioned commercial intent: user-approved information, vendor relevance requirements, anonymised or hashed signal handling, offer engagement, compensation mechanics, feedback reporting and credit-based anti-gaming safeguards.
Vendor relevance requirements
Vendors or advertisers define the information conditions required before a relevant offer can be generated.
Anonymised / blind-brokered relevance
The platform can separate commercial relevance from direct personal identification through hashed or anonymised handling.
Interaction-triggered value exchange
Value becomes commercially meaningful when a user views, accepts, purchases through, responds to or provides feedback on an offer.
Propensity-weighted signal quality
A credit-based system can help distinguish genuine buying intent from low-quality or artificial signals.
Feedback and purchase-status loops
Users can provide feedback such as still looking, purchased elsewhere, no longer interested or offer unsuitable.
Why this becomes a partner conversation
The ad format is not the strategic question. The trusted commercial signal layer is.
Advertising can appear as sponsored results, offer cards, marketplace placements, product recommendations or agent-mediated actions. The harder question is what commercial signal may be used, whether the user approved it, how much it is worth, whether the user is still in-market, and how the system prevents waste or manipulation.
Yamu’s patent-backed thesis gives potential partners a sharper question to explore: can commercial discovery be rebuilt around permissioned intent, anonymised relevance, feedback loops and measurable signal quality rather than opaque targeting alone?
The Yamu model
Approve → anonymise → match → engage → measure → protect.
This sequence is the clearest public expression of the Yamu model: a permissioned commercial signal layer that can extend naturally into AI search, AI-native advertising, agentic commerce and trusted digital marketplaces.
Approve
The user approves specific commercial signals or intent states for discovery.
Anonymise
The platform can broker relevance without exposing unnecessary identity or personal context to advertisers.
Match
Advertisers respond only when user-approved signals meet their relevance requirements.
Engage and measure
Value is connected to user interaction, acceptance, purchase activity or feedback, rather than signal existence alone.
Protect
Credit and anti-gaming safeguards protect signal quality, advertisers and platform trust.
Commercial possibilities
What partners can explore with Yamu.
The site is not intended to present a finished implementation. It is intended to present a strong patent-backed architecture and open the right strategic conversations.
Trusted AI advertising
How permissioned commercial intent could support advertising without turning private context into advertiser data.
Search and browser discovery
How user-approved signals could add a new commercial layer alongside search, comparison and recommendation flows.
Agentic commerce
How user agents and merchant systems could exchange commercial signals under clear user approval and relevance rules.
Advertiser signal quality
How propensity, feedback and purchase-status loops could help reduce waste and improve commercial relevance.
Public patent reference
US20220414265A1 — System and Method for Generating Search Results Based on Access to User-Approved Information.
The application supports a commercial architecture involving user-approved information, vendor matching, non-invasive offers, viewing / acceptance / purchase-related value exchange, feedback reporting and credit-based safeguards against gaming.
View published application
Strategic thinking
Further thinking on patent-backed AI commercial discovery.
Yamu’s insights clarify how the published patent foundation can extend into the next stage of AI-native advertising, agent-mediated commerce, answer independence and commercial signal quality.
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The patent-backed architecture behind Yamu
A public explanation of the mechanisms the patent supports and how they map to AI advertising.
01Why Yamu matters to potential partners
A strategic overview for AI platforms, advertisers, commerce companies and signal partners.
02The most valuable signal in AI advertising may be user-approved intent
Why permissioned intent may outperform opaque inference.
03The anti-gaming problem in user-value advertising
Why value exchange and commercial signals require signal integrity.
Founder credibility
Built from marketing analytics, behavioural targeting and SaaS experience.
Yamu was founded by Simon Roberts, a London-based founder with experience across web analytics, behavioural targeting, A/B and multivariate testing, marketing automation and digital marketing SaaS.
This background matters because the patent sits directly at the intersection of advertising relevance, user behaviour, data quality, commercial outcomes and trust.
Intellitracker
Co-founder and Head of Insight, serving enterprise clients across web analytics and behavioural targeting.
Cognesia
Co-founder and Digital Director, delivering digital marketing SaaS to blue-chip clients. Sold to Go Inspire Group.
Enviromates / Yamu
Co-founder and CEO, building around brands, participation, incentives, user value exchange and trusted discovery.
Non-confidential conversations welcome
For AI platforms, advertising teams, search, commerce, data and partnership leaders exploring trusted commercial discovery.
Yamu is open to introductory discussions around permissioned commercial intent, user-approved signals, anonymised relevance matching and AI-native advertising.