What It Means to Get CITED: The Strategy Framework
AI agents now decide what buyers see, recommend, and trust, which means your content needs to earn citations, not just rank. In this lesson, Alex introduces CITED, the five-phase operating loop for building a compounding system that earns AI visibility week after week.
What You'll Learn
For the last decade, marketing followed a linear playbook: plan, produce, publish, and hope buyers find it.
That approach assumed buyers would scroll through search results and choose for themselves. AI agents decide what to show, recommend, or leave out on the buyer's behalf.
AI agents evaluate whether your content is worth citing. Your content calendar is irrelevant to that decision.
The teams earning consistent AI visibility run repeatable, compounding systems that build momentum week after week.
From diagnosis to strategy: why FACT isn't enough on its own
The previous lesson introduced FACT, a diagnostic framework for identifying where content breaks down in the AI citation pipeline.
Diagnosis tells you what's wrong, but it doesn't build a system. You need a strategy loop that tells your team what to prioritize, how to execute, and how to improve continuously.
That strategy loop is the CITED framework.
The CITED framework: a five-phase operating loop
CITED is a five-phase operating loop designed to earn consistent, compounding wins in AI search.
Each phase feeds the next, and the final phase feeds back into the first. That feedback loop is what makes the system compound over time.
Alex walks through each phase in order:
C — Context
What it answers: Does AI know who you are, and can it access your unique insights?
Before you create anything, you need to centralize your brand truth and novel context so it's accessible to AI models.
Your Brand Kit represents your brand's personality and positioning. Through MCP integrations, you can continuously feed your best context into the agents you build.
Looping in your team to add perspective is critical. Great context is the foundation of great content. With it, every piece you produce stays on brand and grounded in your expertise.
I — Intelligence
What it answers: What's happening in the landscape, and where should you focus first?
With your brand foundation set, you map the prompt universe: how AI models talk about your brand, what consumers are actually asking, and how competitors show up.
Key questions at this phase: Which prompts are you winning? Which are you losing? Where are the highest-leverage gaps?
Intelligence helps you focus on the highest-ROI opportunities so you can drive impact further and faster.
T — Take action
What it answers: What should you do, and how do you do it at scale?
Once you know where opportunity exists, you deploy agents to prioritize what to do next and take precise action.
Winning content is built with unique insights, freshness, structure, and authority.
In this phase, you build agents that continuously monitor and manage content creation, refresh, and content operations while maintaining quality.
E — Evaluate
What it answers: Did it work, and can you prove it?
Here you track visibility, citation rate, sentiment, and traffic impact to measure whether your actions moved the needle.
Evaluation closes the learning loop. If you can't measure results, you can't defend the investment or improve the next cycle.
D — Drive
What it answers: How do you make this a system that compounds, not a one-time project?
Drive is the operating model: the governance, team structure, and rhythm that enable the loop to compound over time.
Drive is the operating rhythm that keeps the loop running and compounding, cycle after cycle.
What you learn in Drive feeds back into Context: refreshed brand truth, new insights from what worked and what didn't, and increased precision for the next cycle.
Why CITED compounds
The AI search landscape shifts constantly. Models update, competitors adapt, and new prompts emerge. A static strategy loses ground quickly in that environment.
Each cycle through CITED makes the next one sharper. Your context gets richer and your intelligence improves, giving you more leverage with each cycle.
Run this as a weekly rhythm. Each cycle compounds on the last.
What's next in the course
The rest of the course walks through each CITED phase one by one, covering the concept first and then hands-on setup inside AirOps.
By the end, you'll have built the rhythm to run the framework yourself.
Key takeaways
- Drive feeds back into Context on purposeThe final phase of CITED loops new learnings, updated brand truth, and performance data back into the first phase. That deliberate feedback mechanism is what separates a one-time audit from a system that sharpens itself every week.
- AI agents choose what buyers seeBuyers used to scroll results and choose for themselves. AI agents decide what to show, recommend, or leave out on the buyer's behalf. Your content either earns a citation or gets filtered out entirely.
- Intelligence gives you a ranked priority listThe I phase maps which prompts you're winning, which you're losing, and where the highest-leverage gaps sit. You walk away with a ranked set of opportunities sorted by ROI, not a vague sense of what to try next.
- MCP integrations keep your agents groundedConnecting your Brand Kit through MCP means every agent you build pulls from the same source of brand truth automatically. Without that connection, each piece of content risks drifting off message as your team scales production.
- Weekly cadence matches the speed of the landscapeAlex recommends running the full CITED loop every week because AI models, competitor strategies, and user prompts all shift on that timescale. Quarterly planning cycles leave too much ground uncovered between updates.
FAQs
CITED is a five-phase operating loop designed to help marketing teams earn consistent visibility from AI models. The five phases are Context, Intelligence, Take action, Evaluate, and Drive. Each phase feeds into the next, and Drive feeds back into Context, creating a compounding cycle that gets sharper with every iteration.