citations
(4)
How AI Builds a Mental Model of Your Company
A plain-language field guide to how large language models decide what your company is, who it competes with, and whether to mention you at all. AI does not read a homepage the way a customer does. It assembles a mental model from six raw materials - entities, relationships, sources, repetition, consensus, and freshness - and the companies that understand those six levers are the ones that get named when someone asks an AI for a recommendation.
YesPress
YesPress is an editorial engine built for the age of answer engines. It gives a company its own always-on newsroom, publishing structured stories under the company's own name so that ChatGPT, Gemini, and Perplexity have an authoritative public record to cite. The pitch is blunt: your next customer starts with an AI assistant, not your homepage, and AI can only recommend what it can understand. YesPress turns launches, wins, and expertise into machine-readable stories, shipped within 24 hours with entity markup, then tracks which engines quote them.
Liner
Liner is an AI search engine built for students, researchers, and knowledge workers who need answers they can trust. Founded in 2012 as a web highlighter and rebuilt around large language models after GPT-3, the company now serves roughly 12 million monthly users across more than 200 countries, pairing conversational answers with transparent citations from academic papers and vetted sources. Headquartered in San Francisco with roots in Seoul, Liner positions itself as a source-grounded alternative to general chatbots and to Google's search box.
Why Your Company Doesn't Exist to ChatGPT Yet
A field report on the quiet reason mid-sized companies vanish from AI answers: not quality, not product, not people, but publishing cadence. Salesforce and Microsoft publish daily. Most companies publish quarterly. The models cite what exists, and the rest becomes a guess.