Reputation is no longer just about blue links on Google. Today, executives, prospective partners, and clients ask ChatGPT, Gemini, and Perplexity for summaries of who you are. We manage and protect how you are represented across the AI ecosystem.
For decades, reputation management was a game of page ranking. If a damaging article appeared on page one of Google, the solution was straightforward: publish high-authority positive content to push it to page two.
But LLMs (Large Language Models) don't work like traditional search engines. They don't just point users to articles; they crawl web directories, forums, news outlets, and review sites, synthesize the findings, and generate a single definitive narrative about your brand.
If the training data or live-retrieved data (RAG) contains defamatory content, AI platforms will repeat those claims as facts, often omitting key context or legal resolutions.
AI visibility management requires feed optimization, knowledge graph placement, schema architecture, and authority signaling to ensure LLMs output accurate, balanced, and favorable summaries of your history.
AI models rely heavily on structured entities like Wikidata, Schema markup, and official corporate registries to map connections. We optimize these foundational data points to ensure your core facts are locked in.
Platforms like Reddit, Quora, and industry forums serve as highly-weighted citation sources for Perplexity and ChatGPT. We track mentions and foster positive organic sentiment where AI engines search for opinions.
Real-time search systems in LLMs pull heavily from fresh news articles and high-authority publications. We place authoritative media pieces containing positive keywords to dominate LLM context windows.
Reviews from Yelp, Trustpilot, and Google Business Profile are digested by LLMs into a single summary statement. We optimize review sentiment trends to prevent negative summaries.
We query major LLMs across 50+ brand variations to identify current negative citations, halucinations, and sentiment clusters. This forms our baseline strategy.
We correct and construct structured data profiles on Wikipedia, Wikidata, and industry databases. We publish authoritative references to establish true facts.
Through targeted PR and digital media assets, we saturate the index channels that search APIs (RAG) use to answer user queries, crowding out historical complaints.
AI models release updates and retrain regularly. We monitor AI-generated answers weekly, fine-tuning authority networks to lock in your optimized reputation.
Before you implement a suppression campaign, you need to know what ChatGPT, Gemini, and Perplexity are outputting. Get a complete multi-platform reputation audit in one pass.
REQUEST FREE OPTICS SCAN →