Several AI engines independently and mistakenly declared a company dead.
There was no appeals process, so we built one.
That moment captured a new reality for brands: Reputation is no longer shaped only by people.
AI now plays an active role in defining what’s visible and credible in the market.
Tools such as ChatGPT interpret and summarize what they perceive as reality, influencing people’s decisions. When they get something wrong, the consequences can be far-reaching.
In the case of Bospar client RealSense, the LLMs’ consensus that the company was out of business led journalists and even potential customers to be skeptical of the company’s viability.
That’s why we created a new playbook to change AI’s collective mindset using Generative Reputation Engineering. At the same time, Bospar tackled the growing media skepticism.
How It Works
The new playbook using Generative Reputation Engineering tackled the issue from all angles.
- Forensic auditing: Our audit revealed that each LLM sourced authority differently and weighted signals uniquely. Some models prioritize Reddit community discussions, others favor Wikipedia and others rely more heavily on X. So we knew a single approach would not work across Claude, ChatGPT, Gemini, Grok, Meta AI, Mistral and DeepSeek.
- Platform-specific interventions: That led us to engineer platform-specific interventions, tailoring each strategy to align with each AI platform’s unique “data diet.”
- Proprietary diagnostic tool development: In the process, our team built proprietary diagnostic tools, including the Bospar innovation that is now known as Audit*E.
- Recreating the client’s digital infrastructure: We conducted targeted media outreach on the company’s news, aligning with the narratives AI systems needed to ingest and validate. But we didn’t stop there. We also created tens of thousands of words of structured content, developed more than two dozen case studies, implemented schema markup designed for machine readability and built an AI-facing FAQ architecture.
- Continuous monitoring and improvement: Understanding that AI outputs are not static, our playbook also encourages continuous testing and refinement of interventions, ensuring that corrections persist over time and new misinformation doesn’t emerge.
This transforms reputation management from reactive to a proactive, engineered system.
The Results: Media Coverage and Business Impact
The outcomes demonstrated just how powerful this Bospar playbook can be.
Within days, all eight AI platforms corrected their outputs. That alone would have been significant. But the downstream effects were even more telling:
- Media impact: More than 140 media placements in the first 20 hours and over 500 in the first week
- Digital performance: Website traffic quadrupled, and LinkedIn social media follower growth targets were exceeded almost immediately
- Business outcomes: Over 380 qualified inbound leads were generated within days.
Perhaps most importantly, the nature of sales conversations changed. Instead of starting from skepticism, they moved forward from clarity, better positioning the company to drive growth.
Why This Innovation Matters Now
The stakes are high because AI is now embedded in how decisions get made.
How does AI affect buying decisions or more?
- More than half of B2B buyers begin their research using AI tools.
- Journalists increasingly consult AI summaries before pursuing stories.
- Investors, partners and customers are all influenced by machine-generated insights.
That means if AI gets your story wrong, it doesn’t stay contained. It propagates.
Worse, there’s no editor to call, no way to request a correction and no appeals process. As one of our foundational insights puts it: “When AI declares something, there is no hotline to fix it.”
Looking ahead
We’re still in the early days of understanding how AI shapes brand perception. The systems will evolve. Their data sources will shift. Their influence will grow.
What won’t change is the need for accuracy, consistency and credibility across the digital ecosystem. That’s why we went beyond AEO and GEO to change AI’s collective mind, using Generative Reputation Engineering. And now we’re continuing to help companies navigate a landscape where AI tools are not just intermediaries, but participants in the conversation.
For B2B and B2C companies operating in high-stakes, high-visibility environments, that can make the difference between being misunderstood and being recognized for what they truly are. In an AI-mediated world, that difference can separate the winners from the losers.
