The method

A closed loop. Prompt set to citation gap to CMS change to re-scan to re-measure. Repeated every month until the brand earns the recommendation.

The measurement loop

1. 01

   Prompt set

   Define the queries your target buyers actually use in ChatGPT, Claude, Perplexity, and Gemini. Category questions, comparison questions, brand-adjacent questions. This is the baseline.

2. 02

   Citation gap analysis

   Run the prompt set in Profound. Map where the brand appears, where it is absent, and which competitors are cited instead. Identify the content, schema, and structural gaps that explain the absence.

3. 03

   CMS and schema change

   Implement in Contentstack — heading model, schema fields, answer blocks, alt text, content model fields, and entry structure. Component-level issues go to engineering as a separate list. Editors publish inside the updated model.

4. 04

   CrownPeak re-scan

   Re-run the template set through CrownPeak after changes ship. Confirm critical and serious accessibility findings are closed. Catch any regressions introduced by new content.

5. 05

   Profound re-measure

   Re-run the prompt set. Track citation rate, engine-by-engine presence, and prompt coverage. Report what moved, what did not, and what the next cycle targets.

What this is not

• —Accessibility overlays — they do not close CrownPeak findings and they create legal risk
• —40-post content mills — AI citation comes from structural clarity, not publishing volume
• —Theme rebuilds or platform migrations — the work happens inside the architecture you already have
• —Paid media or CRO — separate disciplines, separate firms
• —One-time audits with no implementation path — the loop only works if changes ship