The Citation Gap Framework: Operator Edition

Your clients are asking what to do about AI search. This package is the method you run to answer them, under your own name, as a billable engagement. The Citation Gap Framework: Operator Edition is built for the operator in the room: the fractional CMO, the independent strategist, the small-agency lead who runs marketing for brands that need to show up inside ChatGPT, Perplexity, and Google AI Overviews. It is not a course. It is a working method with the client-facing assets already built. What you can bill against it The map-and-score sprint: a fixed, low-risk first engagement that maps which third-party sources AI systems cite in your client's category and scores your client's presence on each one. The earned-placement engagement that follows the map. The quarterly re-measurement retainer that keeps the work running, because AI citation patterns shift as the underlying models update. What is inside Seven print-ready PDF artifacts, plus a copy-paste plain-text edition of the prompt library you can run in your own AI tool, and a one-page start-here sheet that orients you in the package. The Citation Gap Guide: Operator Edition. The core method, Parts 1 to 8, with a full sourced appendix, reframed for the operator running it per client. The Client Conversation. A one-page brief you hand your client's decision-maker to win approval for the first sprint. GEO, AEO, SEO, LLMO: The Operator's Read. The acronym taxonomy, framed as what you tell a client who asks which one they need. 10 Questions to Answer Before You Pitch. The qualification checklist you run on a prospective client before you scope the work. The Operator Prompt Library. Ten client-agnostic AI prompts that accelerate every mechanical step of the method, from the first query list to the quarterly re-measure. Client Engagement Templates. Eight blank templates, engagement setup through quarterly re-measure scorecard, one full set per brand you serve. The Operator Delivery Framework. The repeatable engagement arc, deliverables per stage, the white-hat standard, and a labeled-fictional worked example of the whole arc in motion. The standard the method holds Every asset is client-agnostic: no client names, no client data, and all worked examples are fictional and labeled as fictional. AI output is treated as a draft until the operator verifies it. Fabricated citations are the one unrecoverable failure in an evidence business, and the method says so plainly. conveyor/die, a J5 Marketing brand.