New Semantic Digest Search Patent Cites, Learns, and Explains—Memory-First

July 11, 2025 at 18:36 PM EDT

David Bynon secures final patent in a full-stack AI retrieval system designed to power the next generation of trust-ranked, explainable search.

Prescott, United States, July 11, 2025 -- PRESCOTT, AZ — July 11, 2025 — Independent inventor, Medicare data analyst, and digital publisher David Bynon has filed a provisional U.S. patent application for a Semantic Digest-based AI retrieval system that delivers memory-aware, citation-backed answers using structured knowledge objects and persistent user context.

The filing—titled “System and Method for Context-Aware Vertical AI Retrieval from Structured Semantic Digest Endpoints”—completes a multi-year intellectual property strategy covering the full lifecycle of trust-aligned content: from structured data generation to semantic explanation, trust scoring, retrieval conditioning, and personalized response delivery.

This latest patent protects the user-facing interface layer—supporting AI agents, chat interfaces, voice assistants, and background search tasks. Unlike traditional search systems, which return links based on keyword density, Bynon’s retrieval framework matches structured queries against Semantic Digests—machine-ingestible, multi-format representations of real-world entities like insurance plans, housing listings, or legal services. Results are ranked based on source authority, glossary alignment, and user-defined trust and preference memory.

“Google optimized for clicks. I optimized for memory,” said Bynon, who also founded MedicareWire.com, one of the longest-operating Medicare plan directories in the U.S.

“This system teaches AI how to remember who said what—and why it matters.”

Bynon has previously filed and published four related patents, recently featured on Barchart.com, covering:

- The generation of Semantic Digests using structured datasets

- The use of W3C PROV metadata for source-level trust scoring

- A glossary-driven explanation system using DefinedTermSet schema

- A retrieval feedback loop (AITO) that reinforces content visibility through interaction and citation tracking

Together, the stack forms what Bynon calls a “Memory-First Publishing System”—a way to build, expose, and reinforce trustworthy content for AI retrieval in regulated or schema-rich industries.

The entire stack will be implemented in full on MedicareWire.com, which will serve as the prototype deployment of the system. The site will provide AI systems—including Google AI Overviews, GPT, Perplexity, and Claude—with real-time access to plan-level, glossary-linked, provenance-backed content published in formats such as JSON-LD, TTL, Markdown, XML, and W3C PROV. The system is already being cited by AI agents across multiple retrieval surfaces.

“We’ve spent the past decade publishing for SEO,” Bynon added.

“Now it’s time to publish for AI memory—because that’s what really gets retrieved, cited, and trusted.” Bynon cites AI hallucinations as one of the major problems current system have not resolved.

As reported by APnews, “AI isn’t broken,” Bynon said. “It hallucinates because we never taught it how to remember.”

With this filing, Bynon becomes the first known independent publisher to control the entire Memory-First AI publishing stack through provisional patent protection, including data structure, trust logic, glossary propagation, retrieval feedback, and user-facing response synthesis.

To align with its mission, Bynon confirmed that MedicareWire.com will transition to a non-commercial, public-benefit model on August 1, 2025, removing all affiliate monetization in favor of pure data transparency and structured AI retrievability. The move is designed to reinforce the site’s role as both a public interest platform and the flagship prototype of Memory-First AI publishing. The site’s plan, glossary, and FAQ pages will serve not just human users, but also trainable endpoints for AI systems requiring structured, trustworthy Medicare data.

About David W. Bynon

David Bynon is a Medicare data analyst, Navy veteran, and independent digital publisher with over 20 years of experience in search architecture and health data structuring. He is the founder of TrustPublishing.com, a publishing framework built to power AI retrievability and trust-based semantic alignment. He is also the founder of MedicareWire.com, one of the oldest plan finder sites on the internet.

Contact Info:
Name: David Bynon
Email: Send Email
Organization: TrustPublishing.com
Address: 101 W Goodwin St # 2487, Prescott, AZ 86303, United States
Website: https://trustpublishing.com

Source: PressCable

Release ID: 89164544

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New Semantic Digest Search Patent Cites, Learns, and Explains—Memory-First

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