know when ai models mention you -- and why.
Get cited in ChatGPT, Gemini, and Claude.
see when the big llms mention your brand -- and turn lost mentions into wins. get weekly visibility reports, ready-to-ship content briefs, and real data on how ai models talk about you.
trusted by marketers, founders, and content teams who care about the future of ai visibility.
section 1 - the problem
the ai web is talking about you. 
you just can't see it.
millions of users now ask chatgpt, gemini, and claude instead of searching google. these models read, summarize, and cite pages -- but no one tells you when you're included or ignored.
your traffic drops. your competitors get quoted. and your team has no clue why.
section 2 - the solution
meet get cited 
the visibility layer for llm answers.
- ✅ where you were mentioned (and by which model)
 - ✅ who else was cited (your competitive set)
 - ✅ what claims each model rewards (pricing, setup, safety, etc.)
 - ✅ how to win it back -- with writer-ready briefs and paste-blocks
 
section 3 - how it works
we turn opaque llm answers into action.
1️⃣ ask the models
we prompt chatgpt, gemini, and claude with your tracked topics and capture the answers + cited links.
2️⃣ detect mentions
we find your domains, names, and competitor links in every response.
3️⃣ summarize what changed
won/lost mentions, sentiment, and key "claims" that got cited.
4️⃣ ship the fix
each friday, you get a short email with 3 tasks: update, add, or outreach -- already written for your team.
section 4 - sample friday email
subject: you won 2 llm mentions this week (+1 chatgpt, +1 gemini)
- ✅ your brand now recommended in \"best ai analytics tools\" (gemini)
 - ⚠️ lost mention in \"how to integrate ai\" (claude) -- missing usage example
 - 📋 3 tasks this week to [ open brief ]
 
llm share-of-voice: 9 % to 13 % (+4 %)
section 5 - pricing
pick a plan that matches your ambition.
section 6 - future vision
coming soon
- perplexity & you.com tracking
 - chrome extension: "is this page cited?"
 - auto-generated faq & schema markup
 - predictive citation risk scores
 
section 7 - closing / founder note
built for writers, not engineers.
get cited helps you see what the models see -- and close the gap fast. because in the llm era, visibility means being cited.