Why we're building Citepoint
Buyers now ask AI who to shortlist. We think every company should know what it answers, and be able to earn its place in that answer.
Buying software used to start with a search and a page of links. More and more, it starts with a question to an AI assistant. What's the best CRM for a law firm? What should a five-person team use? What's a cheaper alternative to the tool we have? The assistant answers with a shortlist, and buyers often read that list before they visit a single site.
The brands on that list get the demand. The brands left off rarely find out. Most companies don't know which questions they're losing, or who they're losing them to. Their analytics show a slow drop in visits, not the answer that named a competitor instead.
The fix is plain work
You can't trick your way onto the shortlist for long. What works is plainer. Find the exact questions your buyers ask. Answer each one on your own site, fairly, including when a competitor is the better fit, with facts you can source. Then get mentioned on the pages AI already reads: the review sites, directories and articles it cites in your category.
That work is a loop, not a project. Find the questions you're losing. Write the pages that win them back. Get mentioned where AI looks. Track every engine to see what moved. Learn from what worked, and go again. A large company can staff a team for each step. Most companies can't.
Citepoint runs the whole loop, on autopilot or with your approval first, so a small team can compete with a big one.
Quality over volume
Publishing a lot is easy. Publishing well is the job. We would rather ship one page that settles a buyer's question than ten that repeat each other. Every page answers one real question, says only what your site or a cited source supports, and is built to Google's rules. Taste shows in the pages, and buyers can tell.
No secret
People ask what our secret is. There isn't one. What makes Citepoint hard to copy is the customers who rely on it, the data from checking real answers every day, the brand and the distribution. None of that depends on keeping the method hidden.
So we publish it. Our methodology explains where the answers come from, how we read them and where the numbers fall short. We publish our own numbers too.
If your buyers are asking AI and hearing someone else's name, that is the problem we're here to fix. Answer the questions you're losing.
Jude Rosen, founder