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ANNUITAS Releases the ANNUITAS Agentic Demand™ Model
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New Demand Engine Model Expands the Firm's Perpetual Demand Generation Methodology, Optimizing It for AI Agentic Technology

ATLANTA, Sept. 17, 2026 /PRNewswire/ -- Demand marketing strategy firm ANNUITAS, Inc. has released its ANNUITAS Agentic Demand™ model – a strategic expansion of the firm's proven ANNUITAS Demand Process™ methodology for perpetual demand generation – now re-imagined and optimized for AI agentic technology.

ANNUITAS

The ANNUITAS Agentic Demand™ model bolsters marketing and sales leaders to transition traditional B2B and considered-purchase B2C demand marketing motions away from siloed, 'random acts' of lead generation towards a strategic, integrated, full-funnel, always-on, AI-native Agentic Demand Engine approach.

The benefits of this strategic approach include:

What Is an Agentic Demand Engine?

Agentic Demand Engines represent a critical next phase of demand marketing.

An Agentic Demand Engine is an always-on demand marketing system that continuously orchestrates engagement – nurturing, conditioning and qualifying targeted buyers and buying units, right place, right time, enabled by a core, native-AI Agentic Demand technology stack.

The goal of an Agentic Demand Engine is to provide continuous, multi-channel / multi-stage stewardship to B2B and considered-purchase B2C buyers across every stage of their buying journey, up to the point where a live salesperson is engaged with the buyer (and – at that moment – enabling an effectively 'hot' hand-off of prospect to seller).

Key benefits of deploying an Agentic Demand Engine (over legacy lead generation or demand generation programs) include:

  • Buyer 'pre-conditioning': Earlier-funnel and more-substantive engagement with, and education of, targeted buyers
  • Demand campaign of one: Hyper-personalized, scaled 1:1 buyer engagement
  • Continuous buyer dialogue: Enablement of sustained, two-way brand dialogue prior to — and until — seller engagement
  • No form fills: Buyer 'capture' and qualification that combines natural-language profiling with assessment of buyer behaviors and third-party signal data in order to identify buyer intent and fit
  • No Lead 'left behind': Direct hand-off of prospect and customer dialogue to sales team members via chat, phone and/or meetings booked directly on sellers' calendars – instead of latently passing Leads, of various quality, that may or may not be followed up with
  • 'REAL' demand lift: Sustainable, predictable lift to pipelines and revenue

What Is ANNUITAS Agentic Demand™?

ANNUITAS Agentic Demand™ is a structured program and approach to designing, deploying and optimizing Agentic Demand Engines. It provides a holistic architecture for integrating programs, processes, teams and technology into a singular, always-on demand system. It also improves the ability of demand teams to align to and truly optimize always-on AI agentic demand motions.

The methodology is rooted in the ANNUITAS team's 13-plus years of experience across more than a hundred enterprise perpetual demand generation engine deployments, enabled by the core ANNUITAS Demand Process™ architecture and underpinned by technology partnerships with some of the leading Agentic Marketing Platform vendors on the market today.

Who Is ANNUITAS™?

ANNUITAS™ is the leading provider of AI-native Agentic Demand Engine strategy, implementation and optimization for both B2B and B2C go‑to‑market motions — guided via the ANNUITAS Demand Process™ and ANNUITAS Agentic Demand™ methodologies.

ANNUITAS has optimized demand strategy and execution at a program, process and technology level for more than 100 enterprises since 2013.

Learn more about ANNUITAS at www.annuitas.com.

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SOURCE Annuitas

Disclaimer:This article represents the opinion of the author only. It does not represent the opinion of Webull, nor should it be viewed as an indication that Webull either agrees with or confirms the truthfulness or accuracy of the information. It should not be considered as investment advice from Webull or anyone else, nor should it be used as the basis of any investment decision.
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