Root Partners helps companies put AI to work inside their go-to-market system. We evaluate and rebuild the CRM, design and implement the tools and processes the new motion runs on, and build the reporting that proves the ROI. One firm, end to end.
When a buyer wants a solution, they increasingly ask an AI. That AI builds a shortlist and surfaces a recommendation before your sales team enters the picture. For most companies, that shortlist doesn't include them. What AI tells your buyer in the first seconds of their query determines whether your brand is in the conversation at all — and most companies have never seen that picture clearly.
The content velocity, research throughput, and marketing operations that agentic commerce demands cannot be sustained by a traditionally structured marketing team. And the CRM underneath that team usually tells the same story: pipeline stages, lifecycle definitions, and reporting built around a buyer journey AI has already rewritten. Companies change their GTM strategy and leave the system of record unchanged, so every dashboard measures the motion they used to run, not the one they run now.
Root Partners addresses all of it. Our GTM Systems practice rebuilds the CRM and reporting so the strategy and the system of record finally match. Our Infrastructure practice designs and implements the AI tools, processes, and marketing organization the new motion needs. And our Intelligence practice shows you exactly what AI tells your buyers today.
AI handles awareness, discovery, and much of evaluation before a human is ever involved. Your team typically enters the picture at step three, after the shortlist is already set.
| Stage | What Happens | Who's Driving |
|---|---|---|
| Awareness | AI agent queries the category and surfaces relevant vendors | AI |
| Discovery | AI assembles a shortlist based on signals it can read and evaluate | AI |
| Evaluation | AI reviews evidence, scores options, surfaces a recommendation | AI + Human |
| Selection | Human validates and confirms the AI's recommendation | Human |
| Purchase | A human or autonomous agent completes the transaction | Human |
Most companies are optimized for steps 3–5. Root builds GTM systems for the whole funnel: the visibility to compete in steps 1–2, and the CRM, tools, and reporting to run and measure everything that follows.
Most engagements begin inside the CRM, because that is where GTM change becomes real and measurable. The path from there depends on how much of the system needs to move.
The system of record has to match the strategy. We evaluate, rebuild, and integrate CRM platforms, HubSpot first among them, so your pipeline, lifecycle, and reporting reflect the GTM motion you actually run. Companies bring us in when the strategy has moved and the CRM hasn't.
A structured evaluation of your CRM against the GTM motion it is supposed to support. We map objects, pipelines, lifecycle stages, attribution, and automations against how your buyers actually move, then deliver the specific gaps ranked by revenue impact. Most clients discover their reporting measures a funnel they abandoned years ago.
We re-architect the CRM to match the motion: data model, pipeline stages, lifecycle definitions, automation, and the integrations that connect HubSpot to the rest of your revenue stack, including the AI marketing systems we build in Practice 02. The deliverable is a CRM your team trusts, not a database they work around.
Dashboards and reporting built for how the business runs now: pipeline coverage, stage conversion, channel performance, and the leading indicators that show whether your GTM changes are producing revenue. Built for the operators who run the motion and the boards who fund it.
The marketing organization designed for agentic commerce. We design the structure, build the agent infrastructure, and deliver a team model that lets one marketing leader operate at the output level of four or five traditional hires.
A structured engagement to design the agent-driven team model for your organization. We map the roles, design the agent architecture, specify the technology stack, and build the management system your team will run on. The deliverable is a complete organizational blueprint with implementation specifications — built for a specific company, not a generic framework.
We implement the architecture. Agent configuration, systems integration, content and research workflow build-out, and the operating model your team inherits. This is where the design becomes a running system. Engagement scope and timeline are calibrated to the complexity of the organization.
A monthly retainer to manage, optimize, and evolve the system as AI capabilities advance and competitive conditions shift. Includes performance reporting, capability updates, and ongoing strategic guidance. Most clients move here after implementation — the system compounds over time when it's actively managed.
What AI platforms tell your buyers about you, your competitors, and your category. We measure it with Citro, the citation intelligence platform we built, and feed the findings directly into the strategy and systems work of the other two practices.
Synthetic buyer personas run blind across 7 AI platforms to show exactly where you stand: who AI recommends in your category, why competitors win, and which structural gaps drive the result. Delivered through Citro and interpreted in the context of your GTM strategy, not as a standalone score.
Continuous re-simulation as AI platforms update and competitors move. Score trends feed the same reporting we build into your CRM, so AI visibility sits alongside pipeline and revenue instead of in a separate silo.
PE Portfolio & Enterprise Engagements Working with a portfolio of companies or an organization that needs a bespoke engagement? Root has structured programs for PE operating partners and enterprise marketing leaders.
Talk to us →Every engagement starts with how your go-to-market actually runs: the motion, the CRM underneath it, the tools, the handoffs, and the reporting. We map what the strategy requires against what the system can deliver, and find the work AI should be doing that people are doing today.
AssessmentThen we look outside the building: how buyers in your category research and evaluate, where AI already shapes the shortlist, and what that means for the motion you are designing. When AI search matters in your category, Citro gives us the data to work from.
IntelligenceThe design work: CRM data model, pipeline and lifecycle definitions, the AI tools and processes the team will run on, and the org model to operate it all. Everything is sequenced into a roadmap where the highest-impact changes ship first and nothing waits on a big-bang launch.
DesignWe implement what we design. HubSpot rebuilt to match the motion, integrations connected across the revenue stack, agents and automations configured, workflows shipped and adopted. This is where the blueprint becomes a system your team actually runs.
ImplementationDashboards and reporting built so the changes can be measured: pipeline coverage, stage conversion, channel performance, and the cost-to-output economics of the new operating model. If the ROI cannot be seen in the reporting, the work is not finished.
MeasurementThe system compounds when it is managed. We run the optimization loop with your team: performance reviews against the reporting we built, capability updates as AI advances, and adjustments as the market and the motion evolve. The goal is a GTM system that keeps earning its keep.
OptimizationRoot Partners was founded on a simple observation: AI is rewriting how buyers research and how companies sell, but most organizations are bolting AI onto a go-to-market system designed for a different era. The strategy changes, the CRM and the reporting stay the same, and within two quarters nobody can say what the new motion is actually producing.
The GTM Systems practice fixes the foundation. We evaluate and rebuild the CRM, HubSpot first among them, so pipeline, lifecycle, and attribution reflect the motion the company actually runs. Then we build the reporting that shows, in numbers a board will accept, whether the strategy is producing revenue.
The Infrastructure practice builds what runs on top: the AI tools, processes, and team model that let a lean marketing organization produce at the level this environment demands. And when the question is what AI tells your buyers, the Intelligence practice answers it with Citro, the citation intelligence platform we built and run on our own business.
All of it is grounded in the same operating experience: six successful exits and $1.4B+ in enterprise value generated across EdTech and SaaS markets. That background shapes how we work. We produce findings you can act on and systems you can actually run, not frameworks that gather dust on a shared drive.
The shift to agentic commerce raises questions most organizations haven't had to answer before. Here's how we think about the ones that come up most.
The most common structure Root designs is a single marketing leader overseeing a set of AI agents that handle work traditionally done by a team of specialists. Research, content production, demand generation, competitive monitoring, and marketing operations all run through configured agents rather than individual hires. The human leader's role shifts from managing people to managing systems: setting strategy, reviewing outputs, making judgment calls, and running the optimization loop. For most clients, this represents the capability equivalent of a four to five person marketing team running at the cost structure of one.
Because the CRM is where strategy becomes measurable. When the motion changes and the system of record doesn't, pipeline stages stop matching how deals actually move, lifecycle definitions stop matching how buyers actually behave, and every report built on top of them quietly measures the old business. We start by aligning the CRM to the new motion, because every other change, new tools, new processes, new content velocity, only proves its value through reporting the CRM makes possible.
Organizational change, with AI tools as the enabling layer. What Root designs and builds is a new operating model for your marketing function: the structure, the workflows, the management system, and the technology stack required to run it. The AI agents are the mechanism. The deliverable is a marketing organization that can produce at a level the previous headcount structure couldn't sustain. Most engagements surface significant cost savings relative to the traditional team model, but the primary value is in the capability and output, not the cost reduction alone.
AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are content strategies. They tell you how to optimize what you publish so AI platforms are more likely to cite you. Root does something different: we measure what AI is actually recommending to your buyers right now, before any optimization happens. That's a commercial intelligence question, not a content production question. The output is a competitive picture and a prioritized action plan, not a content brief. Most clients use our findings to inform their AEO or GEO work. We're the diagnostic that precedes the optimization.
AI platforms build recommendations from structured data, authoritative citations, schema markup, and content architecture — not from paid placement or traditional SEO rankings. Most companies are invisible to AI buyers because their digital infrastructure was built for human search engines, not AI reasoning systems. The fix requires understanding which signals AI platforms use to evaluate your category, then restructuring your content, metadata, and authority footprint accordingly. Our Citro platform shows exactly where those gaps are.
Meaningful improvement is achievable within 90 days when changes are prioritized correctly. Structured data and schema implementation typically produces results within weeks. Content and authority-building compounds over months. Root's roadmap sequences actions by impact and effort so the fastest, highest-return changes happen first, giving you measurable improvement quickly while building durable visibility over time.
AI platforms draw recommendations from training data, retrieval-augmented generation (real-time web search), structured schema markup, and authority indicators like citations, reviews, and third-party coverage. Brands that appear consistently, accurately, and authoritatively across these sources get recommended. Brands that rely on paid advertising, keyword density, or outdated SEO signals are largely invisible to AI reasoning systems. The underlying logic is different enough from traditional search that most GTM playbooks don't transfer.
Whether the work starts in the CRM, the marketing organization, or what AI tells your buyers, the first step is the same: a conversation about how your go-to-market runs today and what it needs to do next.