When AI merges every role you hold into one account.
AI reputation for public figures, elected officials and politically exposed persons.
You may be a founder, an investor and a board member, perhaps a candidate or an office holder, with interviews, donations and opinions on the record. AI assistants tend to read all of it as a single record.
What goes wrong
Models blend roles that should stay apart. A view you gave on a podcast is attributed to a company you chair. A donation made in your own name becomes the position of your fund. A namesake’s record is folded into yours. Allegations are repeated with the weight of fact, while the dismissal or correction that followed is left out. For an elected official, a vote can be confused with a colleague’s, or an old position presented as the current one.
What a good account looks like
- Each statement is attributed to the role in which you made it, with its date.
- Allegations, denials, outcomes and established facts are each labelled as what they are.
- Someone with the same name never contributes to your account.
How we work on it
We map your roles first, with the dates and entities attached to each, and read the questions people ask about you in each capacity. Findings show where a model has crossed roles, merged identities or presented a claim as settled. We propose the wording and pages that keep each role distinct and accurate, from a personal site to company and campaign pages, working with your office or agency. We do not argue your politics, and we may decline a matter.
Illustrative situation. An investor who chairs a nonprofit and often appears on podcasts finds AI answers presenting his personal comments on energy policy as the nonprofit’s position, alongside a fraud allegation made against a different man with the same name.
Start with a free consultation
We agree the scope, depth and outcome you want, and show you a sample of our work on your own website.
Request a free consultation