Multiple Provider Search Response Verification and Integration Aggregating, Verifying and Ranking Answers Across Independent Search Providers

This patent describes a search platform that takes a user query into a merchant interface, fans it out to multiple independent search providers, aggregates and verifies the responses, ranks them by how well they answer the query, and presents a combined result. The architecture is designed to give merchants a single, trustworthy answer surface across the federated search ecosystem.

The Problem

A modern merchant or service business answers customer questions across many channels: its own website, Google, Bing, social platforms, voice assistants and vertical directories. Each of these sources may hold different, sometimes conflicting, information about the merchant: opening hours, locations, product availability, pricing, return policy. From the merchant’s point of view, a search query directed at any of these surfaces is an opportunity to give a correct answer, but also a risk that an incorrect or out-of-date answer will be served. Stitching multiple search providers together requires more than simple aggregation; the system has to know which responses to trust, how to rank them against each other, and how to present a coherent answer back to the end user.

What This Invention Does

The patent describes a system and method through which a merchant system receives a search query from an end-user system through its interface and routes that query to multiple search provider sources. A set of responses comes back from at least some of those providers. The system identifies a subset of the responses as having a verified status, generates a ranking of the full set based on how well each response answers the query, and causes a display to the end user that includes one or more of the responses according to that ranking.

The disclosure covers the routing layer, the verification logic that flags trustworthy responses, the ranking model and the integration with the merchant-facing display.

Key Features

• Multi-provider fan-out. A single query is dispatched across independent search providers rather than relying on any one source.
• Verified-status filter. A subset of responses is identified as verified, giving the ranking step a confidence signal beyond raw relevance.
• Responsiveness-based ranking. Responses are scored by how directly they answer the input query, not just by source authority.
• Merchant interface integration. The pipeline runs through the merchant’s own interface, keeping the customer relationship and branding intact.
• Display logic for blended results. The ranked, verified responses are presented in a unified surface to the end user rather than as a list of competing answers.

Who Is Behind It

The applicant is Yext, Inc., a New York-based company that built its business helping brands manage business listings and answers across the search and discovery ecosystem, and that now offers AI-driven search, knowledge management and digital experience products. The named inventors are Maxwell Shaw, Kevin Caffrey and Marc Ferrentino, all consistent with senior engineering and product roles at Yext. The Australian application is a divisional of AU 2020334053, an Australian national phase of PCT/US2020/047004, with priority back to US 62/888,821 filed 19 August 2019. The Australian patent attorney of record is Spruson and Ferguson in Sydney.

Why It Matters

Search is no longer a single-destination experience: brands increasingly need consistent answers across voice assistants, generative AI chat tools, maps applications and vertical directories. A platform that lets a merchant aggregate, verify and rank answers across that fragmented landscape is positioned at the centre of a high-growth category. Australia is a meaningful market for Yext, with large enterprise, banking and retail customers, and protecting the underlying multi-provider verification logic here strengthens the company’s ability to enforce against direct competitors in a crowded software segment.

Related Concepts

• Federated search – the architectural pattern of routing one query across multiple sources.
• Knowledge graph – the structured-data backbone many of these answer engines rely on.
• Search engine optimization – the discipline most affected by how merchant answers are surfaced.
• Information retrieval – the broader field underpinning the ranking step.
• Retrieval-augmented generation – the AI architecture that often consumes feeds like this one.

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AU 2026201880 was published in the Australian Official Journal of Patents on 2 April 2026 and is open for public inspection. Patent applications represent inventions that are sought to be protected and do not necessarily reflect commercially available products.