Track: AI Automation Agency (SEO + Marketing Automation)

Most businesses know they should be using AI and automation. Few know where to start. An AI automation agency bridges that gap by combining SEO and marketing know-how with workflow tools that save time and reduce errors. This track covers what to sell, which tools to use, how to structure pricing, how to handle data responsibly, and how to run a discovery call.

Why SEO Plus Automation

SEO work is full of repeatable tasks: pulling data, drafting briefs, formatting reports, checking pages, following up with leads. Automating them does not replace strategy. It frees people to do more of it. Because you understand search, you can build automations that actually move marketing results, not just shuffle data around.

Core Services

Other useful add-ons: technical monitoring alerts (for example, when important pages drop out of the index), review request flows, social repurposing pipelines and internal knowledge assistants.

The Tools: n8n, Make and Zapier

Pick one platform to master first. Check each tool’s current pricing and features on its own site, since plans change. The lesson Automation with n8n and Make walks through building your first workflows.

Example Workflow: Automated Monthly SEO Report

1. Trigger. Runs on the first business day of the month.
2. Collect. Pull clicks, impressions and top queries from Search Console, and sessions and conversions from GA4.
3. Compare. Calculate month-over-month and year-over-year changes.
4. Summarize. Send the numbers to an AI model with a strict prompt to draft a summary.
5. Review. Create a task for a human to check and edit the draft.
6. Deliver. After approval, send the report to the client.

You are writing a monthly SEO summary for a small business owner. Use ONLY the data below. Do not invent numbers or causes. Write: 1) a 2-sentence overview, 2) three notable changes with the exact figures, 3) one item that needs attention, 4) a note that the account manager will add next steps. Data: [paste JSON or table]

Pricing Structure Concepts

Prices vary widely by market, complexity and value. Rather than numbers, focus on structure:

Work through your costs and hours with the Pricing Calculator, and remember to account for software subscriptions and AI usage costs. See the SEO Pricing and Packages Guide.

Risk and Data Privacy Basics

• Collect and process only the data a workflow actually needs
• Check each AI tool’s data retention and training settings before sending client data
• Use the client’s own accounts where possible, with access they can revoke
• Store credentials securely; never in shared documents
• Keep a human approval step before anything is published or sent to customers
• Build error alerts so failures are noticed quickly
• Document every workflow: what it does, where data goes, who owns it
• Be transparent when customers are talking to a chatbot

Discovery Call Script Outline

1. Set the agenda (2 min). “I’d like to understand how your marketing runs today, find where time is being lost, and see if automation can help. Sound good?”
2. Current state (10 min). What tools do you use? How do leads come in? How is content produced? How is reporting done?
3. Pain points (10 min). What takes the most time? What gets forgotten? Where do leads fall through?
4. Impact (5 min). How many hours a week does this take? What happens when it goes wrong?
5. Constraints (5 min). Data sensitivity, budget range, decision makers, timing.
6. Next step (3 min). Propose a paid discovery or a small first build, and agree on when you will send a proposal.

Here are my notes from a discovery call with [business type]: [paste notes]. Identify the 3 best automation opportunities. For each: the problem, the proposed workflow in steps, tools involved, data touched, risks, and a rough effort level (small, medium, large). Then draft a short follow-up email summarizing these options.

Delivery Process

Reliable delivery matters more in automation than almost anywhere else, because a broken workflow can fail quietly.

1. Map. Document the current manual process step by step with the client.
2. Simplify. Remove unnecessary steps before automating anything.
3. Design. Agree on trigger, steps, data, AI usage and human approval points.
4. Build in a test environment. Use sample data, not live customer records, while building.
5. Test edge cases. Missing fields, duplicates, API errors, unexpected AI output.
6. Launch and monitor. Turn on alerts and check results closely for the first weeks.
7. Hand over. Provide documentation and a short training video.

Ideal Clients

Get Started

• Automate your own reporting or lead follow-up first; it becomes your demo
• Build three portfolio workflows and record short walkthrough videos
• Write a one-page service sheet using the Proposal Generator
• Explore where AI fits across SEO in The AI SEO Stack
• Read AI SEO Workflow for a One-Person Agency