We Are Building the Playbook for the AI Web.
cite-met.com is the working laboratory of two founders who build products and teach at the University of Toronto. We show which AI crawlers are reading your site, and give you the hosting, analytics, and tools to get cited more.
See cite-met in Action
It Started with a Broken Link.
The concept of cite-met didn't start as a business plan. It started as a question we couldn't answer.
As active builders in the AI ecosystem, we kept asking a simple thing about our own sites: are ChatGPT, Claude, and Perplexity actually citing us? Nobody could tell us. Traditional analytics left AI crawlers out as bot traffic, and "SEO traffic" said nothing about whether an answer engine had ever quoted a page. We couldn't even see which AI crawlers were reading our pages.
We weren't satisfied with "good enough." We wanted a systemic answer.
We adopted the C.M.E.T. Framework, a methodology originally coined by SEO specialist Metehan, to make content Cited, Memorable, Effective, and Trackable. We extended it into a platform that separates Human, SEO, and AEO performance, and shows which AI crawlers fetch which pages.
What began as a personal solution for our own projects is now the platform powering cite-met.com.
The initial spark came from Metehan's pioneering research on AI share buttons. His write-up of the CiteMET method gave us a framework for what to measure. We combined it with our own infrastructure obsession and built cite-met as the full-stack answer: not just the buttons, but the entire pipeline from build to crawl.
Built by Builders & Educators.
Mahmoud Halat is Co-Founder & Product Lead at cite-met and a product and growth systems builder who specializes in the practical application of AI. His work focuses on the intersection of data, product marketing, and AI transformation.
He has designed and launched AI-powered content engines that turn complex data into discoverable answers, and he co-authored a patent for a novel data harmonization engine. That work shapes how he thinks about structuring information so machines can read it.
Mahmoud is a guest lecturer at the University of Toronto, where he speaks on AI tools and data ethics. At cite-met he builds infrastructure that lets developers keep the tools they like without losing visibility to AI systems.
Key Achievements
- •Co-authored patent for novel data harmonization engine
- •Guest Lecturer at University of Toronto on AI tools and data ethics
- •Designed and launched AI-powered content engines
Cho Yin Yong is Co-Founder & Chief Architect at cite-met, an AI engineering leader and university lecturer whose work sits at the intersection of artificial intelligence, web architecture, and user experience.
As an AI engineering leader he has guided development teams through complex projects, co-authored two patents in AI applications, and created the "Instant Intelligence" platform ziani.ai.
At the University of Toronto he teaches "Engineering Large Software Systems" and "Programming on the Web" in the CMS department, which grounds his AI work in how the web and large software systems are built.
Key Achievements
- •Two co-authored patents in AI applications
- •Creator of "Instant Intelligence" platform ziani.ai
- •Lecturer in the CMS department at the University of Toronto
- •Teaches "Engineering Large Software Systems" and "Programming on the Web"
Why We Are Here to Stay.
We aren't just shipping a feature; we are building the measurement layer for a new category.
The web is undergoing its biggest shift since the iPhone. People are stopping "searching" and starting "asking." If you can't see how AI crawlers use your site, and can't act on it, you are guessing.
Our commitment is simple:
1. To Pioneer:
We treat this platform as an open lab. We test novel AEO strategies, measure the results, and bake the winners directly into the product.
2. To Educate:
We believe AEO shouldn't be a "black box." We share our research, our failures, and our frameworks openly.
3. To Sustain:
We are building cite-met.com on the same rigorous engineering principles we teach in the classroom. Secure, scalable, and built for the long haul.
Built on Giants.
We believe that "stability" is a feature. We made the strategic decision to decouple our hosting infrastructure from our application logic.
By building cite-met on Cloudflare Workers and R2 Storage, we ensure that your website's availability is not dependent on a single server or database. We inherit the reliability of a network that powers a significant portion of the internet.
- •Zero-Egress Architecture: Our build pipeline pushes static assets directly to the global edge.
- •Resilience: Our architecture is serverless and distributed. There is no "single point of failure" for your hosted sites.
Standing on Shoulders.
We didn't invent the concept of "AI share buttons". That credit belongs to Metehan, who first wrote up the CiteMET method.
What cite-met brings to the table is infrastructure. We built the hosting and measurement around the method: edge hosting that runs your own build, robots.txt and llms.txt fixes, sitemap checks, and real-time crawler analytics. We turned a clever hack into an enterprise-grade CI/CD system.
Recommended Reading: For the original research that inspired our AI share button implementation, read Metehan's foundational article on the CiteMET methodology:
CiteMET AI Share Buttons: Growth Hack for LLMsOur Core Framework
🎯[C] CITED
Be the source AI trusts.
🧠[M] MEMORABLE
Be a name people remember.
📈[E] EFFECTIVE
Harvest real results.
📊[T] TRACKABLE
Watch citations bloom.
Explore Our Work
Platform Technology
See how our edge hosting, the CiteMET Score, and real-time crawler analytics work together.
AEO Research
Read our open research on Answer Engine Optimization. We share our experiments, frameworks, and lessons learned.
Free AI Button Tool
Try our free AI share button generator. Create custom prompts that signal content authority to LLMs.
See Who's Reading You. Get Cited More.
Measure your AEO visibility, then let us run the hosting, analytics, and content that improve it. Backed by real-world experience and academic rigor.
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