The agentic AI marketing agency that runs
while you sleep

An agentic AI marketing agency designs, deploys and operates autonomous AI agents that execute end-to-end marketing workflows - SEO research, content production, lead scoring, ad optimisation, reporting - with brand guardrails, observability and human strategic oversight. Unlike a traditional agency staffing people against deliverables, an agentic AI agency staffs agents against workflows and bills on outcomes plus platform operation.

ChatGPT is a single-turn assistant a human operates. Agentic AI marketing systems are multi-step, multi-tool autonomous workflows with memory, branching logic, error handling and direct integrations into your CRM, CMS, ad platforms and analytics. The output isn't a draft you copy-paste - it's a published page, a routed lead, a paused ad set or a board-ready report. Agents run 24/7; ChatGPT runs only when prompted.

Agentic AI marketing means autonomous AI agents - not single prompts - executing complete marketing workflows from research to deployment. Each agent has a defined role (content production, lead scoring, campaign monitoring), guardrails (brand voice thresholds, spend caps, fact-checks), quality gates and human review checkpoints. The collective system functions as a marketing operating system that compounds 24/7.

No. Agents replace the long-tail execution your team can't get to - the 70% volume work that consumes their week without compounding. Senior marketers shift to strategy, brand, creative direction and judgement calls. Headcount typically stays flat while output multiplies 5-10×. Teams that go agentic don't shrink; they level up.

Real, and we manage it explicitly. Every publishing agent runs inside brand guardrails, fact-check passes against your knowledge base, human review queues for high-stakes pages and on-brand-voice scoring that blocks sub-threshold output. Paid agents have spend caps, frequency caps and ICP fences. We default to assisted-publish (human approval) and only move workflows to autonomous-publish after 60+ days of measured quality holds.

Typically 30-40% of a comparable human-only team for the same output - or 10× the output at the same budget. Pricing is platform fee (agent build, integrations, observability) plus a thin operating retainer. The economics shift dramatically because you stop paying for the volume work that doesn't compound: research compilation, first-draft writing, weekly report stitching, lead enrichment, screenshotting ad accounts.

First production agent live in 4-6 weeks. A full six-agent operating system in 10-14 weeks. We pilot every agent in shadow mode beside your team for 2-4 weeks, measure quality and edge cases, then promote to assisted-publish. Autonomous publish unlocks after 60 days of clean output.

High-volume, rule-rich, integration-heavy workflows: SEO content production at scale, lead enrichment and ICP scoring, campaign monitoring and waste flagging, citation tracking across LLMs, weekly cross-channel reporting, outbound personalisation, internal-link auditing. Workflows requiring brand-defining creative or executive judgement stay with humans.

Both, but the agent roster differs. B2B SaaS leans hard on lead scoring, ABM enrichment, content production and AEO citation agents. Ecommerce emphasises feed optimisation, PMax monitoring, product-page generation and creative refresh agents. We design the roster around your revenue model, not a template.

Three layers: 1) operational - hours of human work displaced, throughput multiplier, cost per output; 2) marketing - organic traffic, qualified pipeline, blended CAC, AEO citation share; 3) commercial - revenue attributed, payback period on the platform investment. Most clients hit payback inside 90 days.

Agents monitor how LLMs describe your brand, extract missing entity signals, generate answer-first content, and refresh schema/FAQ blocks weekly. That constant cadence is what pushes brand mentions into AI answers - static content pages don't cut it.

Every agent runs inside an approval workflow: draft → policy check (brand voice, factual claims, competitor mentions) → human editor → publish. Nothing hits the site or ad accounts without an audit trail. We also log every model call so you can review reasoning after the fact.

No. It replaces repetitive execution - trend scanning, brief writing, first drafts, QA - so your team focuses on strategy, judgement and relationships. Most clients keep headcount flat while 3-5x'ing output.

Model-agnostic. We wire OpenAI, Anthropic, Google and open-source models behind a routing layer, then orchestrate with LangGraph, n8n, Make or custom TypeScript agents depending on the workflow. You own the prompts, memory and data.