When someone asks ChatGPT if your brand is reliable, the answer depends on sentiment buried in its training data. I audit that black box and build a strategy to make sure the answer is overwhelmingly positive.
I query multiple LLMs directly to see exactly how they currently describe your brand, and your competitors.
I identify where sentiment is missing, outdated, or skewed negative due to thin or stale source data.
I help generate genuine, positive signal on the platforms LLMs weigh most heavily when forming an opinion.
Most brands have no idea what AI models are currently saying about them. I start by finding out, then build the plan to shift it.
I run real queries across ChatGPT, Gemini, Claude, and Perplexity to see your brand's actual current sentiment, not a guess.
I trace negative or thin sentiment back to its likely sources, whether that's old reviews, forum threads, or a lack of any presence at all.
Every tactic I use is built on real, earned positive presence. Nothing here involves faking reviews or gaming a platform.
When someone asks an AI chatbot whether your brand is any good, the model doesn't check your website for the answer. It draws on sentiment baked into its training data, things written about you on forums, review sites, and publications, often months or years before that conversation happens.
If that sentiment is thin, outdated, or quietly negative, the model will say so confidently, and the person asking has no easy way to know it's wrong.
Traditional reputation management focuses on what shows up when someone searches your name on Google. LLM sentiment is a separate, less visible layer: it's baked into the model itself, shaped by whatever data the model was trained or fine-tuned on, and it doesn't update the moment something changes online.
I run a structured set of real queries about your brand across the major models, the same way a prospective customer would ask. This shows exactly what's currently being said, not a theoretical risk.
I trace where weak or negative sentiment is likely coming from: thin Trustpilot presence, an old unresolved complaint thread, or simply not enough credible mentions for the model to form a confident opinion at all.
I help build genuine, earned presence on the platforms LLMs weigh heavily, places like Reddit, Trustpilot, and niche-specific forums, so future training data and retrieval pulls reflect an accurate, positive picture of your brand.
The result: when someone asks an AI assistant about your brand, the answer they get actually reflects who you are, instead of an outdated or incomplete impression nobody bothered to correct.