Press Release
Semantic XEO Launches AI Visibility Engineering for ChatGPT, Claude, and AI Agents
Semantic XEO is a proprietary, math-driven AI visibility engineering framework within B2AI Communication. It structures a business’s knowledge, evidence, authority, and differentiators so AI agents and LLM-powered systems- including ChatGPT, Claude, Gemini, and Perplexity- can find, understand, verify, and accurately represent the business.
The Semantic XEO framework structures business knowledge, evidence, and authority for AI agents, including ChatGPT, Claude, Gemini, Perplexity, and emerging AI answer and recommendation systems.
SINGER ISLAND, FL, United States, 10th Aug 2026 – Intelligent Care Alliance today announced the expanded rollout of Semantic XEO, a proprietary AI visibility engineering framework that helps businesses become visible, accurately understood, and better positioned for recommendation by AI agents and large language model systems.
Semantic XEO is designed for the expanding ecosystem of AI technologies influencing how people discover businesses, evaluate expertise, compare providers, and make purchasing decisions. These technologies include consumer-facing platforms such as ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot, Google AI Overviews, and other emerging AI assistants, answer engines, autonomous agents, and LLM-powered recommendation systems.
As people increasingly ask AI systems questions such as “Which provider should I trust?”, “Who specializes in this service?” or “What is the best option for my situation?”, businesses face a new visibility challenge. A company may have an attractive website, strong traditional search rankings, and an excellent reputation, yet still be missing from AI-generated answers or represented inaccurately.
Semantic XEO addresses this challenge by engineering the business information that AI systems and agents can retrieve, interpret, verify, and use when generating an answer.
“Businesses are no longer communicating only with people,” said Dr. Kathryn Alderman, creator of Semantic XEO and founder of Intelligent Care Alliance. “They are also communicating with the AI agents helping people make decisions. Semantic XEO creates the structured meaning, evidence, and authority signals these systems need to understand what a business does, whom it serves, why it is different, and whether its claims can be trusted.”
Creating AI Visibility Across the LLM Ecosystem
AI visibility is broader than appearing in a traditional search result. It concerns whether AI systems can find a business, understand its identity and expertise, verify its claims, distinguish it from competitors, and confidently include it in a generated response.
Different AI platforms use different models, retrieval systems, search indexes, data sources, and reasoning processes. Semantic XEO does not attempt to optimize a business for only one platform. The framework develops a consistent information foundation that can support recognition across a broader ecosystem of AI agents and LLM-powered systems.
This includes:
- Conversational AI systems such as ChatGPT and Claude
- AI search and answer platforms such as Perplexity
- Google Gemini and AI-generated search experiences
- Microsoft Copilot and other enterprise AI assistants
- Specialized healthcare, legal, financial, and professional-service agents
- Emerging autonomous agents capable of comparing providers and completing tasks
- Future AI systems that rely on structured, verifiable business information
“ChatGPT, Claude, Gemini, and Perplexity may not produce identical answers, because they do not all retrieve and interpret information in exactly the same way,” Dr. Alderman explained. “Our objective is to engineer a clear and corroborated business identity that can be understood across multiple systems. We measure visibility in the answers these systems provide rather than assuming that one technical change will produce the same result everywhere.”
From Marketing Language to Machine-Readable Meaning
Traditional marketing was developed primarily to capture human attention. It often relies on visual presentation, emotional language, broad positioning statements, and claims such as “best,” “premium,” “leading,” or “world-class.”
AI systems require greater specificity.
They evaluate language, entities, relationships, context, evidence, consistency, and corroboration across multiple sources. When a business depends heavily on vague promotional language, an AI system may struggle to determine what is factually distinctive or relevant about that organization.
At the center of Semantic XEO is XENKEY, a structured meaning language created to organize business knowledge into focused, factual, and context-rich units. Each unit is designed to communicate what is true, whom the information concerns, why it matters, and what evidence or context supports it.
The XENKEY technical specification is published openly at xenkey.org for examination and continued development.
“Large language models convert language into mathematical representations of meaning,” Dr. Alderman said. “Semantic XEO uses that understanding to reduce ambiguity and strengthen semantic alignment. We replace broad, noisy marketing claims with information that is specific, relevant, consistent, and verifiable.”
The framework does not claim that any single formula controls what an AI platform recommends. Its mathematical models provide a disciplined way to evaluate meaning, alignment, consistency, discoverability, and competitive authority across the business’s information ecosystem.
Retrieval helps an AI system find a business. Structured meaning helps the system understand it. Evidence and corroborated authority help the system evaluate whether it should be included among the recommended options.
The AI Visibility Framework Within B2AI Communication
Semantic XEO is not a separate marketing service or a renamed version of conventional search engine optimization. It is the AI visibility engineering framework within B2AI Communication, or business-to-artificial-intelligence communication.
B2C communication is designed for consumers. B2B communication is designed for businesses. B2AI Communication is designed for the AI systems increasingly positioned between businesses and the people they want to reach.
The discipline focuses on communicating a company’s identity, expertise, services, evidence, relationships, authority, and differentiators in forms that AI systems can process.
Semantic XEO engineers this communication across the layers machines may use, including:
- Website content
- Entity definitions
- Structured data and schema
- Business and professional profiles
- Machine-readable knowledge files
- XENKEY meaning units
- Public relations and third-party coverage
- Supporting evidence and citations
- Cross-platform business information
- Emerging agent-interaction standards
The goal is to create a consistent representation of the business across human-readable and machine-readable environments.
Three Integrated Areas of AI Visibility Engineering
Semantic XEO is implemented through three connected areas:
Engineered PR develops external trust and authority signals. It connects business claims to structured proof, expert positioning, relevant media coverage, and third-party evidence that AI systems may retrieve and use for corroboration.
Engineered Readability creates the foundational business identity and meaning architecture. This may include entity clarification, XENKEY development, structured content, knowledge organization, schema alignment, and machine-readable resources.
Engineered Authority strengthens the business’s competitive position through differentiation, consistency, cross-platform corroboration, and evidence alignment. It is designed to help a qualified organization become a stronger candidate when AI systems compare businesses within a category or geographic market.
Every engagement begins with a Semantic XEO Diagnostic. The diagnostic documents how systems such as ChatGPT, Claude, Gemini, and Perplexity currently identify, describe, compare, and recommend the organization.
That baseline is used to identify visibility gaps, inaccurate information, weak authority signals, missing evidence, and areas of semantic confusion. Changes can then be monitored across multiple AI systems and prompt categories.
Because AI-generated answers can vary according to the platform, model, prompt, user context, location, retrieved sources, and timing, Semantic XEO does not guarantee placement within any particular response. Instead, it creates and measures the structural conditions that can improve accurate AI recognition and recommendation readiness.
Built for Businesses Where Trust Drives the Decision
Semantic XEO initially serves organizations in industries where expertise, reputation, and trust strongly influence customer decisions. These include medical and dental practices, law firms, health and wellness organizations, luxury and lifestyle companies, and wealth-advisory brands.
The framework is part of the Intelligent Care Alliance Innovation AI Ecosystem, which develops applied AI strategies for healthcare and professional-service organizations.
Dr. Alderman developed Semantic XEO while advancing her education in AI agentic systems through a professional program associated with the Johns Hopkins Whiting School of Engineering. Her work brings together more than two decades of experience in dentistry, business strategy, communications, and applied artificial intelligence.
Semantic XEO and XENKEY are the subjects of pending federal trademark applications with the United States Patent and Trademark Office. The formulas, methodologies, and implementation processes form part of Intelligent Care Alliance’s developing intellectual-property portfolio.
“The future of visibility will not be determined only by whether people can find a website,” Dr. Alderman said. “It will also depend on whether AI agents can understand the business behind that website. We create the visibility infrastructure that helps deserving businesses become accurately represented, credibly trusted, and appropriately considered by the AI systems influencing human decisions.”
Semantic XEO accepts a limited number of client engagements each quarter. Businesses can request a diagnostic and learn more at semanticxeo.com.
About Semantic XEO
Semantic XEO, or Cross-Entity Optimization, is a proprietary AI visibility engineering framework created to help businesses become visible, understood, and recommendation-ready across AI agents and LLM-powered systems. Powered by the XENKEY structured meaning language, Semantic XEO organizes business knowledge, evidence, context, relationships, and authority into signals that AI systems can retrieve, interpret, verify, and corroborate. Semantic XEO is part of the Intelligent Care Alliance Innovation AI Ecosystem.
About Intelligent Care Alliance
Intelligent Care Alliance is an AI advisory and innovation agency founded by Dr. Kathryn Alderman. The agency helps healthcare organizations, professional-service firms, and trust-dependent brands strengthen AI visibility, implement artificial intelligence, improve operational workflows, and prepare for an increasingly agent-driven economy.
Media Contact
Organization: Semantic XEO
Contact Person: Semantic XEO
Website: https://semanticxeo.com
Email:
semanticxeoai@gmail.com
Contact Number: +19549450495
Address:3000 North Ocean Drive
Address 2: Riviera Beach
City: Riviera Beach
State: FL
Country:United States
Release id:47993
The post Semantic XEO Launches AI Visibility Engineering for ChatGPT, Claude, and AI Agents appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
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Road Town, British Virgin Islands, August 10th, 2026, Chainwire
Deposits Are Open for hBTC, the Vault Token for Hilbert Group’s BTC Basis+ Strategy
Syntetika, a tokenization hub for regulated investment strategies, opened deposits today for its first strategy: BTC Basis+, managed by the publicly traded Hilbert Group.
Syntetika makes investment strategies that run inside regulated funds accessible directly from a wallet. Each fund operates with independent custody, and each cycle its net asset value is attested by an independent third party. That attested NAV is the price at which vault tokens are issued and redeemed.
BTC Basis+ is a Bitcoin basis strategy: it holds Bitcoin exposure and captures the funding spread between spot and futures markets, with returns denominated in Bitcoin terms. Participants deposit cbBTC through the Syntetika platform in a permissionless way. Deposits are queued and subscribed into the fund at the next processing cycle, with hBTC minted at an attested NAV. Redemptions follow the same cycle.
Syntetika launches with partners Tulipa Capital on strategy curation, Ember Protocol on vault infrastructure, and Yield Network as Liquidity Syndication Partner. The platform launches on Base. Reserves behind its tokens will also become checkable by anyone through Chainlink Proof of Reserve.
“Today Syntetika opens its doors with BTC Basis+,” said Jorge Cuartero, CEO of Syntetika. “What we are really launching is the platform underneath it: infrastructure built to carry a growing set of regulated strategies onchain. This is day one of that roadmap.”
BTC Basis+ is open for deposits now at syntetika.io
About Syntetika
Syntetika is a tokenization hub for regulated investment strategies. Each strategy runs inside a regulated fund with independent custody and third-party NAV attestation, and is accessed onchain through a vault token issued and redeemed at that attested NAV.
Contact
Head of Marketing
Niko Petrov
Syntetika Proto Limited
niko@syntetikalbs.io
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Press Release
SS Support Network Expands Healthcare BPO and Call Center Services Beyond NEMT to Home Care, Clinics, and Specialty Practices
SS Support Network has expanded its healthcare BPO and call center services beyond NEMT to serve home care agencies, clinics, dental and behavioral health practices, and DME suppliers across the United States.
Vancouver, WA, United States, 10th Aug 2026, Grand Newswire – SS Support Network LLC, a business process outsourcing and call center company serving U.S. healthcare providers, today announced the expansion of its service portfolio beyond non-emergency medical transportation (NEMT) to serve home care agencies, medical clinics, dental practices, behavioral health providers, hospice organizations, and durable medical equipment suppliers.
The expansion extends the company’s existing operational model — dedicated, HIPAA-trained agents who work inside each client’s own software and answer in the client’s company name — across a broader range of healthcare back-office functions. These include 24/7 patient call handling, appointment scheduling, referral intake, insurance verification, prior authorization support, medical billing and denial management, provider credentialing, caregiver scheduling, and dedicated virtual assistants.
“Our NEMT clients taught us that the problem isn’t specific to transportation,” said Shahzaib Shah, CEO of SS Support Network LLC. “A home care agency losing weekend referrals to voicemail and a dialysis transport company losing after-hours trips are the same operational problem. The provider is running the phones instead of running the business.”
The company reports that its longest-running NEMT client, which engaged SS Support Network more than two years ago while operating in a single state, now operates across multiple states with SS Support Network handling its inbound calls, dispatching, driver coordination, broker portal management, trip assignment, patient and driver follow-ups, and billing.
The expansion responds to documented pressure across U.S. healthcare administration. Industry research indicates that administrative staffing shortages have made in-house hiring for billing, scheduling, and patient support increasingly difficult for small and mid-size providers, while denial rates and prior authorization workloads continue to climb.
SS Support Network operates under signed Business Associate Agreements with HIPAA-trained agents, and provides all services on month-to-month terms with no setup fees. New clients receive a free operations audit that reviews current coverage gaps and provides a written recommendation.
About SS Support Network
SS Support Network LLC is a business process outsourcing and call center company registered in Vancouver, Washington, with a second office in Pakistan, serving healthcare providers across the United States. The company provides 24/7 patient call handling, NEMT dispatch, medical billing, provider credentialing, insurance verification, and back-office support to NEMT providers, home care agencies, clinics, and specialty healthcare practices. More information is available at https://sssupportnetwork.llc.
Media Contact
Organization: SS Support Network
Contact
Person: SS Support Network
Website:
https://sssupport.net
Email:
info@sssupport.net
Address:9407 NE Vancouver Mall Dr
City: Vancouver
State: WA
Country:United States
The post SS Support Network Expands Healthcare BPO and Call Center Services Beyond NEMT to Home Care, Clinics, and Specialty Practices
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Modcon Systems Ltd. announces the continued development of its industrial AI strategy, combining online process analyzers, oxygen analyzer technology, hydrogen measurement, crude oil analysis and Modcon.AI software to support AI-enabled process optimization for refineries, hydrogen production, natural gas and petrochemical industries.
London, London, United Kingdom, 10th Aug 2026 — Modcon Systems Ltd., a deep technology company specializing in online process analyzers, oxygen analyzer technology, hydrogen measurement, crude oil analysis and AI-enabled process optimization, announces the continued development of its industrial AI strategy through the spin-out development of Modcon.AI.
Modcon.AI is being developed as a dedicated industrial AI platform focused on process optimization, process health analysis, predictive maintenance, energy efficiency and advanced decision support for refineries, hydrogen production, natural gas processing, petrochemical plants and other complex process industries.
The initiative builds on more than 50 years of Modcon Systems’ experience in process analysis, advanced control and industrial automation. Founded in 1972, Modcon has developed and supplied online process analyzers, analyzer systems and optimization solutions for oil refineries, natural gas facilities, hydrogen production plants, pipelines, petrochemical units and other demanding industrial applications.
The company’s strategy is based on a clear industrial principle: effective AI-enabled process optimization requires reliable real-time process data. Modcon’s analyzer technologies provide this critical measurement foundation by delivering continuous visibility into key process parameters such as oxygen, hydrogen, crude oil properties, hydrocarbon composition and process gas quality.
Modcon’s portfolio includes the MOD-1040 In-Situ Oxygen Analyzer, designed for safety-critical oxygen measurement in high-pressure gas, hydrogen, natural gas and hazardous-area applications. The company also provides hydrogen analyzer technologies for continuous hydrogen monitoring and process control, as well as crude oil analyzer solutions for refinery applications, crude oil quality monitoring, desalter performance, blending and crude distillation optimization.
By connecting these process analyzer platforms with Modcon.AI, Modcon Systems is advancing a new generation of industrial AI solutions that combine field measurement, process analytics and intelligent optimization software. This enables industrial operators to move beyond traditional monitoring toward more predictive, adaptive and performance-driven operation.
“Industrial AI is only as strong as the process data behind it,” said Gregory Shahnovsky, representing Modcon Systems Ltd. “Modcon’s advantage is the combination of real-time process analyzers, deep application knowledge and AI-enabled process optimization. Our oxygen analyzer, hydrogen analyzer and crude oil analyzer technologies provide the process visibility required for better decision support, refinery optimization, hydrogen process safety and operational efficiency.”
The development of Modcon.AI reflects the growing demand for industrial AI solutions that can support complex process operations in real time. In refinery applications, AI-enabled process optimization can help operators improve crude oil processing, product quality control, CDU performance, blending efficiency and energy use. In hydrogen production and gas processing, real-time oxygen and hydrogen measurement can support safety, purity control and process stability. In petrochemical and natural gas applications, continuous process analyzer data can provide the foundation for improved control, diagnostics and optimization.
Modcon Systems recently received two 2026 industry recognitions: Best Industrial Process Analytics and Hydrogen Technology Company 2026 and AI-Driven Process Optimization Excellence Award 2026. These awards recognise the company’s contribution to process analytics, hydrogen technology and AI-driven industrial optimization.
The Modcon.AI spin-out development is intended to strengthen this direction by creating a focused platform for industrial AI, using real-time analyzer and process data to support improved plant performance, reduced variability, predictive insights and smarter operational decisions.
As industrial operators face increasing pressure to improve safety, reduce emissions, optimize energy consumption and maintain product quality, Modcon Systems believes the integration of process analyzers and industrial AI will become a key part of the next generation of process automation.
Through its combined portfolio of process analyzers, oxygen analyzers, hydrogen analyzers, crude oil analyzers, analyzer systems and AI-enabled process optimization software, Modcon Systems continues to support safer, smarter and more efficient operation across refining, hydrogen, natural gas, petrochemical and industrial process markets.
About Modcon Systems Ltd.
Modcon Systems Ltd. is a deep technology company with multidisciplinary engineering capabilities, developing proprietary process analysis, advanced control and AI-enabled optimization solutions for the process industries. Founded in 1972, Modcon has more than 50 years of experience in online process analyzers, analyzer systems, industrial measurement technologies and process optimization. Trusted by Fortune 100 energy and industrial companies, Modcon combines advanced process analyzers, automation and industrial AI to improve real-time decision-making, product quality, efficiency, safety and environmental performance across energy-intensive process industries.
The company serves oil refineries, natural gas processing facilities, hydrogen production, petrochemical plants, pipelines, chemical plants and other demanding industrial applications. Modcon’s technologies include in-situ oxygen analysis, hydrogen measurement, gas quality analysis, crude oil analysis, analyzer systems and Modcon.AI industrial optimization solutions.
Website: https://www.modcon-systems.com/
Modcon.AI: https://modcon.ai/
Media Contact
Organization: Modcon Systems Ltd.
Contact Person: Anya Alter
Website: https://www.modcon-systems.com
Email:
analyzer@modcon-systems.com
Contact Number: +442045771737
Address:10 Orange St., Haymarket
City: London
State: London
Country:United Kingdom
Release id:48026
The post Modcon Systems Advances Industrial AI Powered by Process Analyzers appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Syntetika Launches Tokenization Hub Bringing Regulated Investment Strategies Onchain
SS Support Network Expands Healthcare BPO and Call Center Services Beyond NEMT to Home Care, Clinics, and Specialty Practices
Modcon Systems Advances Industrial AI Powered by Process Analyzers
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