Large language models form an understanding of businesses from training data and retrieved content, and outdated or thin public information can leave that understanding wrong or incomplete.
Challenges
That understanding shapes how they describe or recommend you when someone asks, so we work to strengthen the accuracy and completeness of what's publicly available about your business, giving LLMs accurate, favorable information to draw from.
Companies we’ve worked with
Our process
We assess how LLMs currently describe and represent your business, so we know exactly what needs correcting.
We strengthen public content and information to improve that representation, so the picture these models draw from is accurate.
We monitor for changes as models update and re-index information, so accuracy holds over time.
FAQ
Not directly, but strengthening accurate, authoritative public information meaningfully shapes it over time.
Ongoing. Models update periodically, and maintaining accurate representation is an ongoing effort.
