AI agent use cases: Marketing & SEO
6 sourced AI-agent runbooks for marketing & seo: steps, starter prompts and guardrails.
Run a daily SEO improvement loop
A video walkthrough shows an agent running a daily loop: check search data, pick pages to improve, draft changes and report back.
Watch competitors overnight and flag only real shifts
The bot checks competitors for new launches and messaging changes, reviews your own site for stale claims, and reports only the shifts that are gaining traction, with suggested edits.
Build a Figma plugin that mass-produces ad layouts
Marketers had the coding agent build a small Figma plugin that finds the ad frames and creates up to 100 variants by swapping headlines and descriptions, replacing hours of copy-paste.
Find weak ads in a CSV and write new variants
A growth marketing team built a workflow that reads a CSV with hundreds of ads, spots the underperformers and writes replacements within strict character limits, using two specialised sub-agents.
Run agency work with specialised sub-agents
A marketing agency describes splitting work across specialised agents (research, drafting, reporting) coordinated by one main agent, changing how the team runs client accounts.
Get a weekly ad-budget reallocation proposal
The bot pulls spend and results per campaign, compares them with the monthly budget and the target cost per customer, and proposes where to shift money, with the numbers behind it.
Questions
What can AI agents do in marketing & seo?
This page collects 6 documented examples, from Claude Code, Grok Bot, Hermes Agent. Each links its public source.
Are these results guaranteed?
No. Results are as reported by the original authors or vendors. Test on a small scale first and keep a human approval step for anything external.
One new runbook a week
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