Rebuild demand generation around answer engines (L6)
The channel changed, so the process changes. Instead of writing pages that rank, you publish sourced answers that get cited by AI search, and you measure citations and assisted pipeline rather than blue-link position alone.
The steps
- 01
Inventory the questions your buyers actually ask
Tool: Gong
Pull recurring questions from sales calls and support tickets. That list, not a keyword tool export, becomes the content map. Owner: content lead plus RevOps. Pitfall: starting from search volume. High-volume terms are usually not buying questions. DoD: a ranked list of at least fifty buyer questions with call evidence attached.
- 02
Publish one page per question with sources on the page
Tool: HubSpot
Answer in the first hundred words, cite the source next to the claim, and keep structured data accurate. Answer engines cite what they can verify. Owner: content team. Pitfall: one long pillar page for twenty questions. It gets cited for none of them. DoD: each priority question has a page whose first paragraph answers it directly.
- 03
Track citations, not only rankings
Tool: Manual
Run your question list through ChatGPT, Perplexity, and Google AI results on a fixed schedule and record whether you are cited and what is cited instead. Owner: marketing ops. DoD: a monthly citation scorecard exists with a trend line.
- 04
Rewire the funnel report
Tool: HubSpot
Zero-click research means fewer sessions per opportunity. Report on assisted pipeline and branded search growth so leadership does not cut the program for the wrong reason. Owner: marketing ops plus finance. DoD: the board deck reports citations and branded demand alongside sessions.
Tools in this playbook
Next playbooks
Unfamiliar terms are defined in the AI and Revenue Dictionary. Related frameworks live in the framework library.