Nexus™ is your content production engine delivering more horsepower than a Model S.

Research + content engineered for AI retrieval

Nexus™ is Growth Marshal’s two-part engine. We run proprietary research to create unique, defensible evidence. Then, we ship entity-rich publications packaged as answer shapes—TL;DRs, Q&As, matrices, and checklists—so models can lift you verbatim.

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DEEP TECH EXPERIENCE | 15+ YEAR TRACK RECORD | AI EXPERTISE

Compounding authority in
AI search

With first-party data, answer-shape packaging, and PDF surfaces, Nexus™ increases LLM lift rate, citation count, and your overall share-of-answer.

Proprietary
Research

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Original, first-party research that produces defensible data, so models cite you as the source of record.

We start with opportunity mapping to target topics where first-party data can win citations. Then, we design the method, build instruments, and run evidence sprints to collect the original data that LLMs crave.

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Content Engine

Entity-rich publications packaged as answer shapes (TL;DRs, Q&As, matrices, checklists) so models cite you and prospects convert.

We define the answer-shape spec and canonical entities up front, then draft to spec with tight QA. Each asset ships with a bookmarked PDF surface and undergoes prompt-based lift testing, with iteration to maximize citations and zero-click discovery.

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Leads and revenue – front and center

Nexus™ turns research-backed content into high-intent leads and measurable revenue gains, fueling the metrics that make a real impact.

Become the Source of Record

Original research paired with extractable publishing makes models resolve to your brand, so your answer appears inside LLMs.

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More Citations and Share-of-Answer

Answer-shape packaging (TL;DRs, Q&As, matrices, checklists) increases LLM lift rate and the percentage of responses that quote you.

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Backlinks and Earned Media Flywheel

Publishable findings attract journalist coverage and organic links, compounding authority that further boosts retrieval.

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Partner with Growth Marshal

Companies hire us because we operate at the frontier of AI Search and help our partners leapfrog into an unfair advantage.

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AI-Native Search Masters

We don’t just optimize for Google. We engineer your brand into the very fabric of LLM retrieval. From knowledge graph tuning to zero-click authority, we make sure AI cites you, not your competitors.

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AI-First, Results-Obsessed

You move at AI speed; so do we. Our entire system is built for compounding returns that include quick wins today and scalable gains tomorrow, without the bloat of legacy agency processes.

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Data-Backed, Always

Every recommendation is rooted in proprietary research, real-world embedding tests, and hard performance data. You’ll see exactly which signals move the needle and we’ll double-down on the ones that do.

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Full-Spectrum Service Suite

From prompt surface engineering to hallucination monitoring, we cover the entire AI Search Optimization lifecycle. No handoffs between siloed groups; just one integrated team driving your discovery and citation.

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High-Octane Partnership

We speak growth fluently: sharp insights, zero fluff, and a relentless drive to turn your company into a lead-generation machine. Expect candid feedback, rapid pivots, and messaging that cuts through the noise.

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MAX OUT VISIBILITY WHERE
YOUR AUDIENCE IS ACTUALLY SEARCHING

Optimize for AI Search and drive more revenue, faster.

Let's chat strategy

or, skip to pricing and vault ahead

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Nexus™ FAQs

  • Nexus is a two-part engine—Proprietary Research plus a Content Engine—that creates unique evidence and ships entity-rich publications packaged as answer shapes (TL;DRs, Q&As, matrices, checklists) so models can lift you verbatim.

  • By pairing first-party data with answer-shape packaging and PDF surfaces, which raises LLM lift rate, citation count, and overall share-of-answer.

  • We target topics where first-party data can win citations, then design methods, build instruments, and run evidence sprints to collect original data that positions your brand as the source of record.

  • Entity-rich publications with defined answer shapes; each asset ships with a bookmarked PDF surface and goes through prompt-based lift testing with iteration to maximize citations and zero-click discovery.

  • A claims registry, stable PDF surfaces, and verifiable sources reduce LLM doubt and improve conversion.

  • Any fast-moving team seeking AI-driven growth; the system is positioned as a content powerhouse for AI-native visibility.