# SEO Agent Workflow Guide Use this as a practical checklist before trusting an AI agent with SEO work. ## 1. Start With A Skill A skill is a repeatable method, not a loose prompt. Every SEO skill should define: - When to use it - When not to use it - Required inputs - Step-by-step procedure - Output format - Common mistakes - Verification checklist - Examples of good output Good first skills: - Competitor page comparison - Local SEO proof check - Content gap review - Internal-link opportunity finder - Google Business Profile checklist - Content brief builder ## 2. Use The Skill Manually First Do not turn a weak skill into an agent. Run the skill inside real work until you know: - Which inputs are always missing - Which steps the model skips - Which examples improve output - Which checks catch mistakes - Which parts still need human judgment ## 3. Add Memory And Lessons The agent needs durable memory. Use memory for: - Stable brand rules - Service areas - Client context - Known tool quirks - Safe defaults Use lessons for: - Mistakes Harman corrected - Repeated failures - Rules that prevent bad output - Things the agent must never forget ## 4. Wrap Skills Into An Agent A production SEO agent needs files around the skill: - `AGENT.md` for purpose, scope, workflow, safety, and final output - `MEMORY.md` for durable facts - `LESSONS.md` for mistake prevention - `run-log.csv` for each meaningful run - `checklists/` for preflight, safety, and verification - `templates/` for reports, briefs, and handoffs - `rubrics/` for quality scoring - `skills/` for task-specific procedures If the agent has only a prompt, it is not production-ready. ## 5. Build The Verification Loop Before anything ships, the agent should verify: - Primary keyword and supporting keywords are present - No page is cannibalizing another page - Internal links work - Claims are backed by proof - Screenshots and examples match the claim - Schema is valid - The copy sounds human - The final page answers the reader's real question ## 6. Keep Human Approval The agent prepares the work. A person still approves: - Which page should exist - Which claim is safe to make - Which screenshot is fair proof - Whether the page sounds like the business - Whether the final recommendation is worth acting on That is the useful split: AI handles repeat prep; humans protect judgment.