What serious teams ship, in sequence, to increase AI answer retrieval and citation quality.
Day 0-30: Foundation and baseline
- Prompt cluster map by funnel stage and buyer segment.
- Entity and topic authority baseline across key pages.
- Schema corrections on commercial pages.
- Tracking design: visibility, citation, and conversion markers.
Day 31-60: Source expansion and testing
- Publish high-intent source pages (comparison, ROI, implementation, objections).
- Cross-model answer testing on fixed prompt sets.
- Internal linking updates to reinforce answer-extractable sections.
Day 61-90: Scale and optimization
- Expand winning prompt clusters by vertical/region.
- Refine pages with high retrieval but low citation.
- Integrate learnings into monthly content and technical release cycle.
Owner model
| Workstream | Primary Owner | Support |
|---|---|---|
| Prompt intelligence | GEO strategist | PM + analyst |
| Page & schema implementation | SEO engineer | Web dev |
| Content production | Content lead | SME + editor |
| Attribution and reporting | Analytics lead | RevOps |