More and more buying decisions now start with a question put to an AI rather than a search box. Citeon makes sure your brand is in the answer.
Ask an AI assistant to recommend a company in almost any category and it names two or three. Everyone else may as well not exist. There is no page two to climb to, no second result to settle for, and no obvious way to find out why you were left out of the answer.
I started Citeon after running that experiment on real businesses. Companies with a decade of SEO behind them, real customers and real reviews, simply were not in the answer. Smaller competitors with weaker products were named every time, because their content was structured in a way the models could actually use.
The old SEO playbook was built for ten blue links. AI search is a different game: prompts instead of keywords, citations instead of clicks, models instead of crawlers. Checking where you stood meant asking each engine by hand, one prompt at a time, and even then you were left holding a problem with no fix attached.
So I built the thing I wanted to exist. Citeon asks the engines for you, shows who they name instead of you, and writes the content and schema that closes the gap. Answer Engine Optimisation, also called Generative Engine Optimisation or GEO.
My name is Zac Apostolopoulos, and I built Citeon. It is independent and self-funded, based in Australia. It is not a side product of an agency and it is not a dashboard sitting on top of somebody else's data: I query the engines directly, the scans run on infrastructure I run, and mail to support@citeon.dev comes to me.
That is the reason the private beta is small. I set up every company in the first group by hand, and what they ask for goes into the product rather than onto a list. It is a slower way to launch and a much faster way to build the right thing.
AI search is becoming the default discovery layer of the internet. Within a few years more product, brand and service decisions will start with a prompt than with a search bar. The brands named in those answers will compound, and the ones left out will quietly disappear from consideration without ever seeing a traffic drop that explains why. I built Citeon so good companies win that transition instead of losing it quietly.
Monitoring alone is not enough. Most analytics tools hand you a dashboard, a score and a problem to solve. I built Citeon around the opposite principle: every insight in the product should come with a way to act on it, in the product.
That is why the Gap Engine is not just a report. It generates the briefs, schema and llms.txt that close each gap. Why the Content Studio writes content engineered to be cited, not just to rank. Why every alert connects to a fix. I measure Citeon on AI visibility gained, not dashboards delivered.
Traditional SEO tools were not designed for ChatGPT or Perplexity. Every feature I ship is built from scratch for generative engines.
Most analytics tools tell you what's wrong and stop there. Monitoring alone is not enough. Citeon ships the AI tools to fix what it finds, without leaving the platform.
There is no committee between you and the roadmap. The private beta is small on purpose, and what the first companies ask for is what gets built next.
One model is not the market. Depending on your plan Citeon checks three to six engines, including Google AI Overviews, the largest AI surface by volume.