Research
Current studies
Each study runs the same way. Structured 30-minute interviews with senior leaders, aggregated and anonymized, published back to contributors before anyone else sees it, and a closed roundtable where the people who made opposite calls compare notes.
Open for participants
The 2026 AI Search Visibility Study
In partnership with Adobe and WPP
AEO, or answer engine optimization, is the question of how a brand stays visible as customers move from typing searches to asking AI assistants. Some teams call it GEO. Almost nobody has a settled playbook for it yet.
We are interviewing senior marketing, brand, and digital leaders at large companies about what they are actually seeing, what they have tried, whether they can measure any of it, and what is funded for 2026. Participants so far include leaders at a Fortune 500 industrial manufacturer, a global CPG brand, a global pharmaceutical manufacturer, the international division of a Fortune 100 healthcare and nutrition company, and a brand and content strategist who spent eight years leading owned content at a major US telecom.
- A number-one ranked page can be invisible in an AI answer.
- Two Fortune 500 teams made opposite bets on the same channel, and the citation data has started to take a side.
- Nobody in the study can yet connect an action to a result.
In partnership with
Fielded
The 2026 SOC Workforce Study
In partnership with Dropzone AI
Alert volume keeps climbing while hiring budgets have not kept pace, and the L1, L2, L3 analyst structure most security operations centers were built on no longer matches how the work flows. Senior analysts are doing junior triage, and AI is absorbing the parts everyone agrees are repetitive.
We interviewed senior security leaders at Fortune 2000 companies on what security operations actually looks like inside their organizations today, how the analyst role is being rewritten, and which workforce changes are genuinely scoped and funded for 2026 versus still aspirational.
- Where the L1, L2, L3 stack is breaking down.
- What humans should focus on as AI absorbs more of the triage load.
- What is scoped and funded for 2026 versus what is aspirational.
Want to be in the next one?
We choose the next study based on what senior leaders tell us they cannot get a straight answer on.
Tell us what you want to know