Short, practical articles on being visible in AI answers. Each one explains the "why" behind a check we measure.
Same city, same service, similar website; yet your competitor is in the answer and you're not. The cause is usually one of five things, and all of them can be found. The order to diagnose in, and the fix for each.
Four engines, four different behaviours. One always looks at the web, one leans on Google's data, one is cautious. Why you need to be visible in all of them, and how each one finds you.
"Does ChatGPT recommend us" has no single answer; it changes by engine, by question and by day. Share of voice reduces that mess to one number and makes it comparable with competitors.
For "near me" questions, models lean on Google Business Profile data. If your profile is incomplete, even the best website won't get you on the list. What to fill in and what to keep current.
Getting ChatGPT to recommend a business isn't magic; it rests on access, description, matching and consistency. Eight steps, in the order to do them.
When you ask a model about your business, one of three things happens – it recommends you, it recognizes you but doesn't recommend you, or it doesn't mention you at all. Each state has a different cause and a different way out.
Schema.org is a shared vocabulary that labels the information on your page as "this is a business, this is its name, this is its phone number". Search engines have read it for years; AI models draw on the same labels.
llms.txt is a small Markdown file at the root of your site that tells AI models "this is who we are, these are our important pages". What it does, what it doesn't, and how to write it.
Unlike ranking in a search engine, GEO is about being INSIDE the answer that ChatGPT and its peers write. What it is, where it parts ways with SEO, and where to start.
Measure where your site stands in AI answers with 19 free checks; score and roadmap in minutes.