Get named when someone asks an AI.
Large language models repeat what the public web says about a company. The work is to make that description true, consistent, and worth repeating.
People ask ChatGPT, Gemini, Perplexity, and Copilot who to hire. Those answers are stitched from pages, profiles, and articles that already exist. If the name, the address, and the offer disagree, the model shrugs or invents.
What we do
- Ask the models the questions a buyer would ask, and write down what they say today.
- Align the website, the Google listing, and the public descriptions so they tell one story.
- Publish original pages that are easy to quote: a clear offer, proof, and a point of view.
- Add an llms.txt file so a careful crawler can find the canonical description.
This does not jailbreak a model or buy a mention. It makes the company a clean fact on the open web.
Questions
Can you force ChatGPT to recommend us?
No. We can make the public record accurate and specific. A recommendation still depends on the question and the model.
How is this different from SEO?
SEO is mostly Google’s index. LLM work watches the answers people get in chat tools, then fixes the sources those tools are likely to trust.
Do you publish fake reviews to train the models?
No. Invented praise gets repeated, and then it gets caught. The record has to be real.