AI reputation monitoring tracks how ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews describe you, every month, against a baseline. When an answer drifts, you hear it from us, not from a lost deal.
The AI answer about you changes without notice. A model update, a new article, a Reddit thread that gets cited, and the paragraph your prospects read is different from the one you checked last quarter.
AI reputation management starts with knowing. Snake River Strategies monitors what the major assistants say about executives, brands, and political clients on a fixed schedule, records every change in presence, sentiment, and cited sources, and moves to correct the record when an answer goes wrong. It is the AI-era equivalent of a Google alert, except the answer is a paragraph, not a link, and the fix is a source, not a press release.
The model merges you with someone else, or leads with a decade-old controversy. Monitoring catches the error the week it appears.
You were described well in spring. A new source changed the framing by fall. Nobody told you.
A forum thread or a thin article starts appearing in the citations. That is the moment to act, not six months later.
The category answer that named you alone now names three. The sources behind the change tell you what to do.
After a crisis, the news cycle ends but the model does not know that. Monitoring shows when the answer finally moves on.
Investors, boards, and campaign leadership increasingly ask what the AI says. A monthly report answers them.
We build the set of questions your buyers, critics, and reporters actually ask, run them through every major assistant, and record the answers, sentiment, and sources.
The same questions, re-run on schedule, compared line by line. Changes in presence, framing, or citations are flagged within the week.
Monitoring without response is a dashboard. When an answer drifts, we trace it to the source and fix the source: corrections, stronger pages, consistent entity data.
AI reputation management is the practice of monitoring and shaping how AI assistants describe a person, brand, or organization. It extends online reputation management from the search results page into the generated answer. The monitoring half records what ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews say in response to a fixed set of questions; the management half changes the sources those answers are built from when they are wrong, stale, or unfavorable.
Monitoring on its own is priced as a flat monthly service by the number of questions and assistants tracked. Monitoring with correction runs as part of a GEO or reputation engagement. Either way, the first baseline is included in a free consultation, so you can see what the assistants say before you decide anything.
Ask it the questions a stranger would: who you are, what you are known for, whether you can be trusted, and who the best options are in your category. Do the same in Gemini, Perplexity, and Google AI Overviews, because the answers differ. We do this on a fixed schedule with consistent prompts so changes are measurable rather than anecdotal.
Yes. The question set is built for the subject, whether that is an executive, a company, a product category, or a candidate and a race. Political monitoring runs on campaign timelines.
Google Alerts tells you when a new page mentions you. AI monitoring tells you how the assistants are describing you and which sources they are drawing on, which is what your prospects actually read now.
Not directly, and no one can. We change the sources the model relies on, which reliably changes the answer over weeks. Monitoring shows the change as it happens.
Monthly for most brands and executives. Weekly during a crisis, a launch, or the last stretch of a campaign.
Tell us who or what to check. We will run the questions that matter through every major assistant and show you the answers, free, in the first consultation.
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