A six-move source-base remediation playbook — drawn from what the 5W Reputation Index found about the three founders who built AI.
By Ronn Torossian | Founder & Chairman, 5W AI Communications
The single most important finding inside the inaugural 5W Reputation Index has nothing to do with Sam Altman, Dario Amodei, or Demis Hassabis. It has to do with the mechanism the audit exposed: every AI-held reputation is downstream of a source base, and every source base is malleable if you know what to move.
Here are the six moves, in priority order, that close the gap between the reputation the engines are giving you and the one you would have written yourself.
One — audit the first surface. Open the four engines. Ask each the basic identity prompt — who is [name], what is [company] — plus three or four buyer-intent prompts (“is [name] trustworthy,” “what does [company] do,” “should I work with [name]”). Read what the engines return. Note the first clause. Note the parentheticals. Note where each engine pairs the achievement with a caveat. The first surface is the reputation. The audit is the prerequisite for every move that follows.
Two — identify the retrieval anchors. Every AI-held reputation is built from a specific, identifiable set of sources the engines retrieve from heavily. For Hassabis: peer-reviewed work, the Nobel record, a serious biography, encyclopedic reference. For Amodei: his own essays, Anthropic publications, favorable trade coverage. For Altman: event-driven press he did not control, litigation filings, encyclopedic entries. Find the three to five sources that dominate your own retrieval base. They are the leverage points.
Three — publish primary-source material the engine can retrieve. This is the most underused move in the playbook. Almost every public figure could be writing essays, technical pieces, opinion pieces, and long-form analysis under their own name, in venues the AI engines treat as authoritative — and almost none of them are. Every primary-source artifact published is a retrieval target that displaces a piece of event-driven press one rank down the list. The investment is time, not money, and the compounding is structural.
Four — earn credentialed third-party validation. The engines weight credentialed third parties heavily — peer-reviewed publications, academic affiliations, recognized industry bodies, serious biographers, named journalists at named publications. A piece of work that names you, sources you, or cites you in one of these venues is worth materially more than a piece of work that names you in a low-authority venue. The arithmetic is not about reach. It is about retrieval weight.
Five — build the structured citable record before the next crisis. Hassabis and Amodei built their retrieval bases before they needed them. Altman’s is being assembled, with him, in real time, around event-driven press he did not choose. The single largest predictor of reputation defensibility is whether the retrieval base was in place before the first defining event hit. If you wait until the crisis to start publishing the primary-source material, you have already lost the cycle. The engines retrieve from what is current and dense, and the press is more current and denser than anything you have not yet built.
Six — re-audit on a fixed cadence. Citation share moves. Engine behavior changes. The retrieval base shifts as new content is published and old content ages out. The reputation you audit today is the reputation you have today — not the reputation you will have in twelve months. Quarterly re-audit is the floor. Brands and figures running a serious AI-visibility program audit more frequently than that. What is not tracked cannot be managed.
The playbook is not theoretical. It is the literal architecture that produced the eighty-six and the eighty-two in our Index — and the absence of which produced the sixty-four.
The answer is being given right now. The mechanism that shapes it is documented. The moves are knowable. The only question is whether you are running them.

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