One loop. Three jobs.

Find out why the AI names someone else.

Buyers ask ChatGPT before they ask you. If the answer lists three competitors and not you, that demand never reaches your funnel — and nothing in your analytics tells you it happened.

You can answer “why aren't we in the AI answer?” with a prompt, an engine and a cited URL — not a theory.

• Track the prompts your buyers actually ask, across four engines.
• See who gets named instead, in what order, and which source the engine leaned on.
• Get 3–5 actions a week, scored by what they're worth, not by what's easy to say.
• Measure each one against the run before you shipped it.

Stop guessing what to write next.

You can publish endlessly and still never enter the answer set. The brief that matters is the one tied to a prompt an engine already answers — with someone else's page.

A content calendar you can defend in a planning meeting, because each item names the gap it closes.

• Every brief starts from a real gap: the prompt, the engine, the competitor's cited source.
• The brief names the angle that would beat that source, and the sections to cover.
• Facts about your brand it can't verify go to a human, not into the draft.
• After publishing, citations and visibility are compared against your pre-publish baseline.

Show the client what moved.

AI visibility is easy to sell and hard to prove. Retainers survive on evidence, and “we published four posts” isn't evidence.

A monthly conversation about outcomes, backed by before/after numbers you didn't have to spin.

• A separate workspace per client, with its own prompts, competitors and history.
• Executive summary as a print-ready PDF; competitor, audit and progress reports as CSV.
• Impact says “too early” or “no impact” when that's the truth — which is why the wins get believed.
• FactCheck flags what engines get wrong about the client, judged against facts the client verified.

NoteWhite-label and client logins aren't built yet — see the agency page. Read it