AI Marketing
Automation
Automate the marketing motions that feed AI visibility without losing the human signals that make it work.
By the Numbers
74%
of executives use AI to research B2B vendors
3x
output from a small team with the right automation layer
$0
paid media required — AI citations are earned
Automation That Strengthens AI Signals
Marketing automation got a bad name when it produced generic nurtures and robotic emails. The new bar is higher because AI search engines can tell when content is automated and downgrade it. AI marketing automation is the practice of using automation to scale the parts that should be automated while preserving the human signals AI engines reward.
The trap is using AI to generate content at volume. AI engines have gotten quite good at detecting AI-written content, and they cite it less. Pages that read as machine-generated, even subtly, lose citation share. The math says: write fewer, better pages with human voice and structure them so machines can parse them. That is automation done right.
What we automate:
- Schema injection and maintenance. Schema markup, FAQ schema, and entity tagging are scaled across the site programmatically.
- Content distribution. Once a piece is written by a human, distribution to LinkedIn, third-party syndication, and earned media outlets is automated.
- Citation monitoring. We auto-monitor ChatGPT, Perplexity, Gemini, and Google AI Overviews for citations of your brand and competitors, with weekly dashboards.
- Review and testimonial workflows. Trigger-based requests at peak satisfaction moments, automated follow-up, and structured publishing.
- Internal linking and refresh cadence. Automated suggestions for internal links and content refresh triggers.
What stays human:
- The actual writing of canonical content
- Customer interviews and case study creation
- Executive thought-leadership posts and bylines
- Strategic positioning decisions
The point is to free your humans to do the work that AI engines reward, by automating the mechanical work that engines do not care about. Most marketing automation today gets this backwards: it automates writing and asks humans to schedule posts. We reverse that.
Outcome. A small marketing team can match the AI visibility output of a team three times its size when the automation layer is set up right. Citation share grows because the human work is concentrated where it matters, and the mechanical work happens consistently without burning team hours. 74% of executives use AI to research vendors. The vendors that show up consistently are the ones whose teams have built this automation layer.