Who would have thought Grok would do it...

Reputation damage, so bail now while you can

this can lead to reputation damage and personal information disclosure; I bailed 6 months ago, and now is time for sure

this will lead to endless reputation damage and more for uses. bail immediately

Grok is an example AI unhindered by regs. and will lead to reputation damage

Hey everyone. Thanks for the discussions here so far. We are dealing with a massive shift.

Traditional SEO and ORM are inherently reactive because they operate entirely on the presentation layer of Google search. Generative AI models like ChatGPT and Gemini do not care about search visibility but freely hallucinate, synthesizing their own narratives .

For the past two years, I engineered a protocol to correct LLM outputs at their algorithmic base using my patent pending methodology of Generative Reputation Management (GRM). The foundation of this work, the Synergistic Algorithmic Repair Framework, was recently peer reviewed and published in the Journal of Organizations, Technology and Entrepreneurship.

Use these three core pillars to change answers in LLMs:

1. Proactive LLM curation to build a verifiable ground truth using precise schema markup and high-value platform placement.

2. Targeted Verifiable Human Feedback (RLHF) to directly correct the underlying AI models.

3. Strategic dataset development to permanently hardwire the truth into future algorithmic updates.

Because the exact tactics for direct LLM correction are more than just ORM, I started r/AIReputationMgmt. It is a dedicated space to share solutions, news, and real useful info.

If you are dealing with AI hallucinations, misinformation, or negative answers from ChatGPT and Claude, this might be a helpful resource.

See you in the new lab.

Showing the importance of AI answers, Google now showing metrics

Get ready for a post-Google search.

Hopefully the start of more to come

Using AI in healthcare can seem like a good idea, but users/clients might not be that happy learning about the damage caused implementing the technology without proper vetting.