The Workshop Promise
Attendees leave with a repeatable operating model, not a slide deck.
State this plainly at the top of the session: "This is not a theory webinar. It is a working session." Everything that follows in the 90 minutes is designed to be redone by the attendee alone, the following month, without a facilitator in the room. That repeatability is the actual product of the Lab — not the specific findings about any one brand on workshop day.
The Three-Verb Operating Model
| Verb | What It Means | What It Looks Like in the GEO Suite |
|---|---|---|
| Measure | Establish a real, numbers-backed baseline — not an opinion about how visible the brand "feels" | A Citation Monitor health score, a Q&A Analysis GEO score, an Agent-Readiness score |
| Improve | Fix the highest-leverage, most concrete gaps first — not everything at once | Publishing a generated llms.txt, adding FAQPage schema, fixing a pricing inconsistency, filling a comparison-content gap |
| Prove | Re-run the same saved list or report and show the delta | Re-running a Citation List after a fix; a GEO Trend Comparison between two periods |
This is the same loop the ai12z 360° Feedback Loop describes at the platform level — the workshop promise is simply that loop, done once, live, by hand, so attendees understand it well enough to run it themselves afterward.
Four Concrete Things Attendees Leave With
Walk through these explicitly — they're the actual deliverables of the session, not just learning objectives:
- Understand how AI answer engines discover, cite, and recommend brands. By the end of What We Measure in the Lab, attendees should be able to explain the difference between a closed-book training-data citation and a web-grounded one, in their own words, without notes.
- Identify the highest-value content, brand, and technical gaps for their own brand. Not a generic checklist — an actual, specific list produced during Live Exercise: Build the First Baseline.
- Build measurement baselines using real questions, citations, keywords, and referrals. A saved Citation List and/or Keyword List that didn't exist before the session, ready to be re-run next month.
- Prioritize actions into a practical 30-day GEO/AEO roadmap. Not a wish list — a ranked, effort-tagged plan modeled on the 30-Day Roadmap template and the Consolidated Action Plan's own Critical/High/Medium/Low structure.
Setting Expectations Honestly
Two things worth saying out loud before diving in, because unmanaged expectations are the fastest way to lose a room:
- The baseline built in this session will not be flattering. Every real example used throughout this Lab — the Citation Monitor "Emerging" tier score of 32/100, the Site-Wide Sweep finding that 49% of pages have images missing dimensions, the AI Footprint finding of zero Wikipedia presence — came from a real, otherwise-healthy company. A weak first baseline is the normal starting point, not a sign anything is broken.
- 90 minutes produces a plan, not finished work. The session ends with a prioritized list and a first re-test date, not a rebuilt website. The 30-Day Roadmap module exists precisely because the real work happens after the workshop, not during it.
Related Documentation
- The ai12z 360° Feedback Loop — Why this three-verb model is a genuine loop, not a one-time audit
- Live Exercise: Build the First Baseline — Where attendees actually execute Measure → Improve (partially) → Prove (scheduled)
- Consolidated Action Plan — The report that formalizes the "prioritized 30-day roadmap" deliverable