The US Patent Workplace just lately printed Google’s continuation on a patent for a search system that detects when there isn’t a passable reply for a question and waits to robotically ship the reply when it turns into obtainable.
Search And AI Assistant
The patent, printed in February 2026, is a continuation of an older patent, with the principle adjustments being to use this patent throughout the context of an AI assistant. The invention describes fixing the issue of answering a query when no precise reply is offered on the time a consumer makes the question. What it does is waits till there’s a passable reply, at which level it circles again to the consumer with the reply, with out them having to ask once more.
The patent is titled, Autonomously offering search outcomes post-facto, together with in assistant context. Though the patent mentions high quality thresholds, these thresholds are outlined within the sense of whether or not the reply meets the consumer’s wants.
The patent describes six situations that may set off the invention:
- When no search outcomes meet outlined high quality or authoritative-answer standards.
- When outcomes exist however fail to supply a definitive or authoritative reply that satisfies these standards.
- When no outcomes meet high quality standards as a result of the knowledge just isn’t but obtainable.
- When a question seeks a selected reply and no consequence satisfies the required standards.
- When a useful resource later satisfies the outlined standards after beforehand missing required data.
- When a beforehand obtainable useful resource is refined or up to date in order that it now meets the factors.
Helpful And Full Solutions
Google’s patent says that the invention is an answer for instances when there isn’t a helpful or full solutions as a result of the knowledge doesn’t but exist or just isn’t adequate, forcing customers to maintain looking repeatedly.
The system checks if outcomes meet:
- A high quality normal
- Authoritativeness normal
- Or a completeness normal.
If the present solutions don’t meet these requirements, the system will retailer the question and monitor for brand spanking new or up to date data. As soon as it turns into obtainable it’s going to ship the outcomes to the consumer later with out them looking once more.
Observe-Up Questions Are Not Needed
What’s novel concerning the invention is that it permits follow-up supply of outcomes after the unique question with out requiring a brand new follow-up questions. It additionally surfaces search outcomes proactively in notifications or assistant conversations.
At a later time, when new or up to date data turns into obtainable that satisfies the factors, the system proactively delivers that data to the consumer. This supply can happen via notifications, inside an unrelated interplay, or throughout a later dialog with an automatic assistant.
The system can also optionally notify the consumer that no good outcomes are at the moment obtainable and ask in the event that they need to be told when higher outcomes seem.
What this method does is it transforms search from a one-time, user-initiated motion right into a persistent, ongoing course of the place the system continues working within the background and updates the consumer when significant data turns into obtainable.
Cross-System Continuity
An attention-grabbing function of this invention is that it may possibly attain out to the consumer throughout a number of units.
Right here is the place it’s outlined:
[0012] In some implementations, the question is acquired on a further computing machine that’s along with the computing machine for which the content material is offered for presentation to the consumer.”
This capabiilty is highlighed once more in part [0067]:
“For instance, the content material could also be offered for presentation to the consumer through the identical computing machine the consumer utilized to submit the question and/or through a separate computing machine.”
It might additionally go cross-device as a visible and/or audible output throughout units and within the type of an automatic assistant, and may current the knowledge when the consumer is interacting with the automated assistant in a special context, describing an “ecosystem” of units.
Lastly, the patent explains that the knowledge will be surfaced when the consumer is interfacing with the automated assistant in a very totally different context:
[0040]”…the content material could also be offered for presentation to the consumer through the identical computing machine the consumer utilized to submit the question and/or through a separate computing machine. The content material could also be offered for presentation in varied varieties. For instance, the content material could also be offered as a visible and/or audible push notification on a cell computing machine of the consumer, and could also be surfaced unbiased of the consumer once more submitting the question and/or one other question.
Additionally, for instance, the content material could also be introduced as visible and/or audible output of an automatic assistant throughout a dialog session between the consumer and the automated assistant, the place the dialog session is unrelated to the question and/or one other question in search of related data.”
Takeaways
The patent (Autonomously offering search outcomes post-facto, together with in assistant context) is according to Google’s imaginative and prescient of tasked-based agentic search, the place AI assistants assist customers accomplish issues. This patent might be utilized to an AI agent that’s requested for tickets to an occasion when the tickets aren’t but obtainable. Or it might be utilized to creating restaurant reservations when the reservations when the dates open up. Each of these situations are associated to task-based agentic search (TBAS)
Listed below are seven takeaways:
- The system shops information related to the consumer about unresolved queries, permitting it to trace unanswered data wants over time quite than treating every search as a one-off occasion.
- It delivers outcomes inside future interactions, together with unrelated assistant conversations, not simply via standalone notifications.
- The notifications can occur throughout an ecosystem of units.
- A scarcity of outcomes is outlined by failing to satisfy high quality standards, which will be the absence of data, the reply not being obtainable but, or the reply just isn’t obtainable from authoritative sources.
- The system focuses on queries that search particular solutions, quite than normal informational searches.
- It helps cross-device continuity, enabling a question on one machine to be fulfilled in a while one other.
- The design reduces repeated searches by eliminating the necessity for customers to examine again, then autonomously circling again when the knowledge is offered.
Featured Picture by Shutterstock/uyabdami
