If you’re a startup founder or marketing exec, and you know AI Search matters, but struggle with where to start, this conversation provides INSANE clarity.
Quick context about AirOps: They’re based in San Francisco, recently raised a $15.5M Series A, and at its core, they built a system to produce high-quality content at unprecedented scale.
We also used it for our clients. One of the most recent examples is how we launched 247 location-specific pages in 7 days, fully AI generated. 140 of them are already ranking Top 3 and getting AI citations within 72 hours.
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What Eoin sees working for their customers
The biggest mistake? Trying to build the perfect system instead of starting with high-velocity experimentation.
These are some of the results that prove him right:
- How Docebo captured a 25% share of voice lead
- How Lightspeed increased content conversion by 37%
- Webflow accelerates content refresh 5X and increases AI-sourced signups in days
1) Structure beats sophistication
Pages that get AI citations use clean structure – lots of lists, sequential headings, single H1s. The basics done right.
2) Content freshness is 3x more important
Content less than 3 months old is 3x more likely to get cited in AI search.
3) Start with one topic cluster
Pick one area you want to dominate, then trace back to related queries and audience behavior.
4) 50/50 split
Spend 50% on your own content, 50% getting mentioned on other authoritative sites.
We also covered AirOps’ internal workflows, why Reddit vs LinkedIn citations matter differently, the exact systematic approach their customers use, and so much more.
