AI Visibility for SaaS & Tech
When AI answers recommend competitors, deals vanish before you even demo. We engineer how LLMs understand and cite your product, so the “best / vs” prompt points straight to you.
Snapshot [v1.0] · Updated: 2026-01-14
who_it’s_for: B2B tech companies where AI answers influence users and decision makers (ChatGPT, Gemini, Google AI Overviews)
what_we_do: Engineer how LLMs understand, trust, and cite your product, category, and differentiation
what_changes: Fewer wrong/muddled answers, more “best / vs” inclusion, more citations to the pages that
how_we_do_it: Retrieval-first page architecture + entity clarity + proof and corroboration signals
jump: ◾︎ See the problems we solve →
Is optimizing for AI search right for you?
This isn’t “more content.” It’s focused changes to the pages AI systems already use to describe and recommend tech products. If you find yourself nodding along with the left column, we should talk.
Best fit if:
AI answers already influence your category (buyers ask “best,” “vs,” “alternatives,” “what should we use?”)
Your product gets misclassified, oversimplified, or conflated with competitors
You can ship website updates (copy, structure, internal routing, schema) within weeks, not quarters
You have real proof to lean on (customers, benchmarks, integrations, security/compliance signals, press)
Not a fit if:
You want “50 blog posts” as the strategy
You can’t touch the website this quarter (politics, bandwidth, or no access)
You need guaranteed attribution from AI channels (nobody can promise that honestly)
You’re actively pivoting or still figuring out what you sell and to whom (positioning is missing)
What you get
AI visibility only matters when it changes pipeline. These outcomes are designed to move you from “mentioned” to shortlisted—with citations pointing to pages that actually close.
Correct Product Positioning in AI Answers
AI systems describe your product the way you sell it—category, use case, ICP, and differentiation—so you stop losing buyers to misclassification and lazy summaries.
More Inclusion in “Best / Vs / Alternatives” Prompts
You show up more often when buyers ask high-intent questions like “best X for Y,” “A vs B,” and “alternatives to…”—the prompts that create shortlists.
Citations to Pages that Convert
Models cite (and route users to) your money pages—pricing, security/compliance, integrations, implementation, and core use cases—instead of your homepage or random blog posts.
Cleaner Competitive Narrative
Your strengths get repeated consistently (and your “not for” lines don’t get blurred), so AI comparisons stop flattening you into a generic tool.
Higher Conversion from AI-Referred Traffic
Visitors arriving from AI answers land on pages built to close: faster understanding, clearer proof, tighter objections handling, and fewer “wait… what do you actually do?” bounces.
How an EdTech platform doubled signups by doubling down on AI visibility
By showing up earlier in the decision cycle, CourseCareers increased month-over-month enrolled users by 102%, saw a 112% spike in AI-driven traffic, and achieved this within 120 days, using Growth Marshal - Plus.
“Growth Marshal thinks about AI retrieval on a completely different level. They helped us create the core frameworks and schema that power everything we do now.”
Katie Lemon, Content Manager
CourseCareers
Problem
CourseCareers started to notice a new pattern: prospective students were using ChatGPT and other AI systems to decide which education programs to trust, and CourseCareers wasn’t consistently showing up in that discovery layer. They risked losing mindshare at the moment intent forms.
The core challenge was translation and identity: CourseCareers offers multiple programs across supply chain, construction, and business, and they needed that complexity expressed as a single, trusted, machine-readable identity that AI systems could accurately retrieve.
Fix
Growth Marshal’s approach focused on two moves.
First, Trust Stack™ established a consistent source of truth—organizing facts, verifying key people, and reducing misattribution so models could confidently select and cite CourseCareers.
Second, Zero Click™ re-engineered their highest-intent pages (headings, FAQs, copy structure) to read like precise, ready-to-cite answers for prompts such as “best tech sales course” or “how to become an electrician.”
Outcomes
102 %
Growth in month-over-month enrolled users
112 %
Increase in AI-driven traffic
120 days
To achieve results
A SINGLE, INTEGRATED SYSTEM
Get cited in AI answers, fast
Growth Marshal’s proprietary frameworks directly target the inputs that determine what AI models retrieve, trust, and cite. Use one for a quick win or stack them together for complete semantic visibility.
Trust Stack™
AI trust framework using structured data, knowledge graph integration, and identity verification.
Total Entity Authority
Zero Click™
Content optimization framework that re-engineers existing assets for AI retrieval and citation.
Content Re-Engineering
AI Search Ops™
Strategic planning framework that maps your knowledge domain to the queries your buyers are asking AI.
Semantic Strategy
Nexus™
Production engine that creates new, AI-optimized assets designed for retrieval and citation.
Citation Asset Engine
Signal™
Monitoring framework that protects information accuracy and business reputation across LLMs.
Monitoring & Remediation
The science behind
AI search optimization
We ground our approach in a deep understanding of model mechanics. Here, the science always informs the strategy.
Truth → Presence → Architecture → Markup → Distribution → Provenance → Monitoring → Actionability
Identity & Claims Governance
Brand Fact File | Canonical IDs | llms.txt Endpoint | Claims Registry | Version Control
LLMs piece answers together from disparate fragments of data. A single machine-readable source of truth anchored by verified facts, canonical IDs, and an llms.txt endpoint stops the guessing and keeps your brand accurate.
Authority & Trust
Signaling
Graph Presence | Reciprocal Linkage | Citation Diversity | Schema-Level Trust Signals
LLMs lean heavily on authoritative graph snapshots when selecting sources. Embedding into key graphs and surfacing trust signals dramatically increases citation probability.
Semantic Design & Enrichment
Embedding Coherence | Semantic Chunking | Prompt-Aligned Headings | SVO Sentences
Content will fall flat if LLMs can’t parse its structure or misinterpret entities. Semantic enrichment ensures content is self-contained, indexable, and can be accurately cited.
LLM-Optimized Structured Data
Graph Construction | Core Properties | Rich Markup | Freshness & Provenance
Schema markup provides LLMs with a machine-readable map of entities and relationships. A well-crafted @graph maximizes clarity and citation probability.
Model-Surface Monitoring
LLM Visibility Audits | Embedding Drift Detection | Citation Quality Scoring
AI Search Optimization is inherently opaque. Continuous intelligence on how, where, and whether your content appears is essential to iterate.
AI-First Content Planning
Semantic Graph Audit | Pillar & Cluster Blueprint | Saturation Matrix
LLMs grasp concepts through semantic relationships encoded in embedding space. Saturating that space with optimized content will make your brand the default authoritative source.
Be the company AI recommends
Your customers are asking LLMs who to choose. Learn how to be the answer they get back.
A simple process driving outsized success
We're a results-driven agency, built for speed and trusted to deliver what matters most: growth.
1. Subscribe
All Growth Marshal subscriptions come with complete flexibility (pause/cancel at any time).
2. Kickoff
We hit the ground running with an initial call and begin analyzing your site, business, competition, market, and customers.
3. Roadmap
We draft a custom AI SEO program to drive qualified traffic that converts. Our packages are built around delivering exceptional results for your business.
4. Approval
We’ll present our complete AI-first strategy and get your sign-off. You’ll maintain complete visibility and a checklist of deliverables.
5. Execution
This is a done-for-you service managed by Growth Marshal. At this point, most clients prefer to sit back and watch the pros cook!
6. Reporting
You’ll receive detailed ROI reports that include a list of work that’s been completed and a review of performance.
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.
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.
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.
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.
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.
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.
Learn the tactics for conquering
AI search results
Check out our blog, Field Notes to pick up proven, field-tested techniques that will get your business cited by large language models.
Kurt Fischman
Learning Hub
Answer Shapes: How LLMs Prefer to Read
Answer Shapes—the atomic units of information machines can parse and lift without mangling meaning…
Kurt Fischman
Market Insights
What is an AI Search Optimization Agency?
It sure as hell isn’t a rebranded “AI powered SEO shop” with ChatGPT stickers slapped on…
FAQs
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It’s the practice of engineering your tech brand into LLM retrieval so models cite, surface, and select you—turning AI into your loudest amplifier.
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We apply an end-to-end system: Ontology & Claims Governance → Authority & Trust Signaling → Semantic Design → LLM-optimized Structured Data → Corpus Seeding → Provenance → Model-Surface Monitoring → Actionability/Agent integrations.
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Trust Stack™ (entity authority), Zero Click™ (AI-retrieval-first content), AI Search Ops™ (intent clustering/roadmaps), Nexus™ (content engine), and Signal™ (brand integrity and hallucination defense).
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Because the world has changed. We don’t optimize for clicks on Google—we engineer your business into LLM retrieval so AI cites you instead of competitors.
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Revenue comes first; we monitor AI search metrics that drive it—citations, inclusion, traffic, and conversions—instrumenting the path from model answer to closed-won.
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Built for Agents, SaaS, and Marketplaces; get started via a simple process: Subscribe → Kickoff → Roadmap → Approval → Execution → Reporting.