How answer engines actually rank
By Marit Halvorsen
- How retrieval picks and re-ranks sources
- What your footprint looks like today
- Setting a baseline you can defend
Session dateMarch 4, 3PM GMT
Mar 4 – Apr 15, 2026
Cohort 3 · Reviewed entry
Answer EngineResidency
Six weeks of build-alongside work for studios and in-house teams learning how visibility is won inside ChatGPT, Perplexity and Gemini.
- Full visibility audit with tracked KPIs
- Retrieval-ready pages with schema markup
- Live dashboard and rival share mapping
- Weekly office hours with working leads
Apply to join
See schedule
42 seats · 214 applied to the last cohort
What the residency covers
Built for teams ready to ship
Six weeks, four workstreams, one measurable outcome. Not theory — implementation.
Visibility audit
Baseline where you surface today and what moves it.
Retrieval pages
Structure a first set of pages models can actually parse.
Live dashboard
Track answer share weekly instead of guessing at it.
Rival map
See who owns each prompt cluster across engines.
Week by week
Your six-week arc
Seven working sessions, each with homework you ship before the next one.
Finding the prompts that matter
By Ondrej Vaculik
- Building a prompt set worth tracking
- Ranking clusters by commercial pull
- Where intent quietly leaks away
Session dateMarch 11, 3PM GMT
Pages written for extraction
By Marit Halvorsen
- Scannable structure models can lift
- Schema that survives a re-crawl
- Turning old posts into cited assets
Session dateMarch 18, 3PM GMT
Who leads it
Meet your leads
