If your content strategy was built before 2025, it’s optimizing for a search reality that no longer exists. Buyers are getting answers from AI engines, not scrolling through ten blue links.
We build content strategies that win citations in those AI answers, and that still rank when buyers do click through to Google.
Why traditional content strategy fails in 2026
Most content strategies are still organized around keyword volumes and ranking positions. That mental model breaks when 60%+ of buyer research happens inside AI chat surfaces where there are no rankings, only citations.
Our AI-first content framework
1. Entity optimization & E-E-A-T signals
We build the entity graph that AI engines use to recognize you as a credible source: Organization schema, author profiles, sameAs links, citation patterns, and authority surface area.
2. Source-worthy content assets
We focus on the four asset types AI disproportionately cites: original research, expert thought leadership, comparison pages, and use-case documentation. Quality over volume.
3. Multi-platform citation strategy
Different engines reward different signals. Our strategy maps content types to the engines they win on, ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews.
4. Measurement & attribution
Monthly citation tracking, share-of-voice benchmarking, and downstream pipeline attribution. We measure what matters, not vanity metrics.
What’s included
- Competitive citation analysis across 5 generative engines
- Content gap mapping (GEO + AEO + SEO)
- 90-day prioritized content calendar
- Editorial guidelines for AI search optimization
- Entity optimization deliverables (schema, author bios, sameAs)
- Monthly citation tracking + reporting
Process & timeline
Phase 1: Research & audit (Weeks 1-2)
Citation baseline, competitive analysis, content audit, and stakeholder interviews.
Phase 2: Strategy development (Weeks 3-4)
Content framework, calendar, editorial guidelines, and entity optimization plan.
Phase 3: Activation & coaching (Ongoing)
Editorial coaching, content review against the framework, and iterative optimization based on citation data.
Investment
| Engagement | Scope | Investment |
|---|---|---|
| Strategy build | 6-week build, you execute | $12, 500 one-time |
| Strategy + ongoing coaching | Build + monthly retainer | $12, 500 + $3, 500/mo |
| Strategy + production | Build + asset production | From $9, 500/mo |
Frequently Asked Questions
What is AI content strategy?
A content strategy designed for an environment where AI engines are the primary research surface. It prioritizes citation-worthy assets, entity signals, and multi-platform optimization over traditional ranking-only approaches.
How is this different from GEO services?
Content strategy is the planning layer, what to build, for whom, on which platforms. GEO services execute the strategy: producing assets, optimizing entities, and tracking citations. Many clients buy both.
Will this still work for Google rankings?
Yes, citation-worthy content is also ranking-worthy content. The signals overlap heavily. You don’t trade one for the other.
Do you write the content too?
Optionally. The Strategy + Production tier includes asset writing. Most clients use their existing team or freelancers and we coach the editorial process.
Start your AI content strategy
Book a strategy call. We’ll review your current content footprint and tell you the three biggest moves you can make in the next 90 days.