
Atlassian, Notion, Zendesk, Glean and a pack of rivals spent a decade helping teams write things down. The AI scramble of 2025 rewrote the job description - now the software has to read it all back.

Two well-funded startups are attacking the same quiet tax on office work - the hours people lose hunting for answers that already exist somewhere in the company. One buries the answer inside the sales tools; the other indexes everything and lets you ask.

ProProfs, Slite, MadCap, and Intercom all sell the same promise - a single place for what your company knows. The AI era just turned that quiet market into a fight over who feeds the machine.
When a customer asks ChatGPT about your company, the answer is not pulled from your website in real time. It is assembled from what the model absorbed during training - Common Crawl web pages, Wikipedia, news, reviews, Reddit threads, job postings and structured databases like Crunchbase and Wikidata - frozen at a knowledge cutoff months before the model shipped. This story explains where that knowledge comes from, why it drifts stale, how gaps and old narratives creep in, and what companies can actually do to correct the record.