USPTO · Patent-Pending Methodology

Six filings.
One window.

The mechanics behind every audit you receive from us, every ZIP code we lock for you, and every monthly visibility report we generate, are now on the public USPTO record. Six patent filings — three provisionals on May 11, 2026, two more on May 24, 2026, and a non-provisional conversion filed under the USPTO's accelerated ASAP! pilot program — held by Deep AI Solutions Inc, protect the methodology DeepVision uses to make memory care facilities the answer AI engines give when families search.

Filed

May 11 & 24, 2026

Stage

Pending

NP conversion

May 11 & 24, 2027

Holder

Deep AI Solutions Inc

When a family in your ZIP code asks ChatGPT "what is the best memory care for Alzheimer's near me?" three things determine whether your facility is the answer. We patented the method behind each one.

The six filings

The audit. The territory. The drift.

USPTO 64/063,277 Provisional · On USPTO record

Multi-Engine AI Presence Auditing

A method for measuring how a senior care facility is represented across multiple AI assistants in parallel. The same set of family-search prompts, scored identically across ChatGPT, Google AI Overview, Perplexity, Gemini, and voice search, producing a comparable, replicable mention-rate baseline that no single-engine tool can match.

What this is, in plain English

The Clarity Audit you receive is not a screenshot tour. It is the scored output of a patented measurement loop, run once per audit, identical for every facility we ever evaluate.

USPTO 64/063,294 Provisional · On USPTO record

Geographic Exclusivity Zone Management

A system for partitioning local markets into ZIP-bound exclusivity zones, enforcing one-paying-facility-per-zone for memory care, assisted living, and skilled nursing, and releasing the lock the moment a subscription ends. The legal and technical scaffolding behind our territory rule.

What this is, in plain English

When you sign DeepVision Growth or Pro, your competitor cannot hire us, by patented design. Not a handshake, not a clause we wave when challenged: a documented, USPTO-filed mechanism.

USPTO 64/063,303 Provisional · On USPTO record

Temporal Drift Detection and Autonomous Remediation

A loop that measures month-over-month change in how AI assistants describe a facility, flags drift before it costs family inquiries, and dispatches the remediation work automatically. Visibility is not a one-time audit. Search engines change weekly; the system that watches them must too.

What this is, in plain English

The monthly reports inside DeepVision Growth and Pro are not summaries. They are diffs. When the AI's answer about your facility shifts, we know before you do, and we fix it before a family at their kitchen table notices.

USPTO 19/686,706 Non-Provisional · Under USPTO examination

Multi-Engine AI Presence Auditing, Non-Provisional

The non-provisional utility conversion of the multi-engine auditing method, adding large language model judge score normalization, cross-model entity perception analysis, and recommendation stability measurement — filed under the USPTO's accelerated ASAP! pilot program.

What this is, in plain English

Your Clarity Audit score isn't just five raw numbers averaged together. It's normalized so a strict engine and a generous one land on the same scale, and it flags when an engine's answer about you is unstable — which matters more to a family than a single good day.

USPTO 64/073,499 Provisional · On USPTO record

Semantic Intent Graph for AI Demand

A method for clustering the commercial-intent prompts families actually use — "memory care near me," "best Alzheimer's facility for my mother" — into a temporal semantic demand graph, so we know which questions AI engines are being asked before we optimize for them.

What this is, in plain English

We don't guess what families ask AI at 11 PM. We map it, cluster it, and watch it shift over time — so the content we build answers the question that's actually being asked this month, not last year's.

USPTO 64/073,505 Provisional · On USPTO record

AI Citation Influence Graph

A weighted, directed graph mapping which specific pieces of web-accessible content causally drive an AI engine's entity recommendations — identifying which citation actually moved the needle, not just which ones exist.

What this is, in plain English

Not every review, directory listing, or press mention carries equal weight with an AI engine. This is how we know which ones to build next for your facility, instead of spreading effort evenly across citations that don't move the answer.

What this buys you

Six patents. Three moments your facility can feel them.

01 · Multi-Engine Auditing

The audit you receive

A scored, replicable measurement of how five AI engines describe your facility today. Not a screenshot tour. Not a vendor's opinion. The output of a patented loop, identical every time.

02 · Geographic Exclusivity

The territory you own

The moment you sign, your ZIP code is partitioned into our exclusivity system. We are formally barred from selling to the memory care facility across the street, by USPTO-filed design.

03 · Drift Detection

The drift we catch

Every month, the system re-runs your visibility baseline, compares it against last month, and dispatches remediation when an AI engine changes how it talks about you. Before you notice. Before a family does.

Verifiable · Public Record

Every filing on this page is public USPTO record.

Provisional application numbers are confidential until conversion to non-provisional. We have chosen to publish ours, with the holder of record and each conversion deadline, so any operator considering DeepVision can independently verify the methodology behind what they are buying. The twelve-month non-provisional conversion windows close May 11, 2027 (for the three May 11 filings) and May 24, 2027 (for the two May 24 filings) — one of the six, 19/686,706, has already converted.

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