Agentic Marketing Operations: How We Run Our Business on AI Agents
Quick Summary
2 min read- 01
Most businesses use AI as a better search box. We use it as a team. At Useryze, agents collect our data, run our content pipeline, create and assign tasks, and check that the work actually...
- 02
Good decisions need fresh numbers. Our data agents pull performance every day from Instagram, TikTok, YouTube, LinkedIn and Facebook, our website, Google Search Console, GA4, Microsoft...
- 03
Content agents look at what people search for and engage with, then draft scripts and articles, produce AI video and images, publish to our CMS and social channels, and repurpose each piece...
- 04
This is the piece most teams are missing. Our internal ops agent reads the data, decides what matters this week, creates the tasks, assigns each one to the right person or agent, and then...
Most businesses use AI as a better search box. We use it as a team. At Useryze, agents collect our data, run our content pipeline, create and assign tasks, and check that the work actually shipped. Everything we build for clients runs inside our own business first.
01Layer 1: data agents
Good decisions need fresh numbers. Our data agents pull performance every day from Instagram, TikTok, YouTube, LinkedIn and Facebook, our website, Google Search Console, GA4, Microsoft Clarity, our ad platforms and our CRM, and land it all in one warehouse. Nobody exports a spreadsheet on Monday morning.
Layer 2: content pipeline agents
Content agents look at what people search for and engage with, then draft scripts and articles, produce AI video and images, publish to our CMS and social channels, and repurpose each piece into every format. People set the direction and review before anything goes out.
Layer 3: the ops agent
This is the piece most teams are missing. Our internal ops agent reads the data, decides what matters this week, creates the tasks, assigns each one to the right person or agent, and then verifies that it was implemented. A task is not done because someone ticked a box; it is done when the change is live and checked.
Layer 4: execution agents
Specialized agents carry each task through its life: ideate, prioritize, create, execute, QA and launch. They work in the tools we already use, including Jira, GitHub, Google Cloud, AWS, HubSpot, Zoho and Shopify, using Claude, ChatGPT and Gemini depending on the job.
What this looks like for clients
We design custom agentic flows for each client. The most common ones:
- Lead responder: replies to new leads in minutes, qualifies and books calls.
- Weekly growth brief: a plain-English summary of every channel and this week's priorities.
- Product content pipeline: unique copy and images for every product, like the one we run for three jewelry stores.
- Data loop: every channel in one place, as in our restaurant data loop.
Guardrails we never skip
- Humans set the rules. Agents only do what they are allowed to do.
- Unusual cases go to a person, right away.
- Everything is checked. QA is its own step, not an afterthought.
See the full picture on our AI agents page, or read how we decide where to start automating.
Free growth plan
Turn this into more customers.
We run marketing, video and AI follow-up for owner-led businesses. Tell us about yours and we will show you the three fixes that matter most.
Keep reading
- Why Payload CMS Is a Great Headless CMS (With AI Agents)Payload CMS is open source, code-first and runs inside Next.js. See why we use it for content-heavy sites and how AI agents and humans publish in it.
- Speed to Lead: How an AI Agent Replies to Every Lead in MinutesSpeed to lead is how fast you reply to a new inquiry. See how an AI agent answers every lead in minutes, books the next step and hands off to your team.
- AI CRO Tools vs an AI CRO Agent: What Actually Moves ConversionsAI CRO tools speed up single tasks. An AI CRO agent runs the whole test-and-improve loop. Learn the difference and which one will lift your conversion rate.