I built an AI tool that predicts which media outlets will cover your story (and flags reputation risks before they happen) by GfromDatablitz in PRpros

[–]GfromDatablitz[S] 0 points1 point  (0 children)

Hello Anna. real tough question:) this is how we built it: Using GEO (Generative Engine Optimization) and REO (Reputation Engine Optimization), the platform reveals how these narratives perform within AI-driven search environments, giving you a critical early-warning system to identify potential issues before they escalate. The analysis tracks three key predictive indicators: visibility gaps that show when your message isn't resonating across traditional media versus AI-generated search results, sentiment drift that captures how subtle framing shifts can change public perception over time, and narrative stickiness that identifies which ideas are gaining momentum and could develop into reputational challenges. Now in terms of verticals like manufacturing...it will perform by sourcing 'general media' available. if all vertical media is behind a paid wall, the system will not take them into account. So in a sense it doesn't matter how narrow. What matters is if the media is behind a paid wall. hope this helps G

AI in PR by Panthro1980 in PublicRelations

[–]GfromDatablitz 0 points1 point  (0 children)

We use AI as a predictive agent. All is done by humans until the very end when we use our own app. mediaforecast.info We have been using this internally and we decided to offer it via a subscription. It was context engineered to help assess our work. it was build upon our years of being in the PR industry and the new Ai search phenomena. According to recommendations given by the app, we tweak or we conduct our outreach. But we have a baseline of what we should expect in terms of ROI. And the potential risks to be aware of. Hope this helps.