We Are Building the Playbook for the AI Web.
cite-met.com is the working laboratory of award-winning product builders and university lecturers. We don't just host websites; we are pioneering the standard for Answer Engine Optimization (AEO).
It Started with a Broken Link.
The concept of cite-met didn't start as a business plan. It started as a bug fix.
As active builders in the AI ecosystem, we loved tools like Lovable and Bolt. But we kept running into a wall: the "Invisible Site" problem. We realized that modern, client-side web apps were fundamentally incompatible with the way AI crawlers ingest information.
We weren't satisfied with "good enough." We wanted a systemic solution.
Drawing on over a decade of experience building mass-scale consumer products and teaching software architecture, 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 to address the specific infrastructure gap we found in CSR sites.
What began as a personal solution for our own projects is now the engine powering cite-met.com.
The initial spark came from Metehan's pioneering research on AI share buttons. His early experiments validated what we suspected: that purpose-built prompts could signal content authority to large language models. We took that insight, 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 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, positioning him as a key architect in the emerging field of Answer Engine Optimization (AEO).
Mahmoud has direct, hands-on experience designing and launching sophisticated AI-powered content engines that translate complex data into high-value, discoverable answers. His technical work includes co-authoring a patent for a novel data harmonization engine, giving him a fundamental understanding of how to structure information for machine consumption.
As an entrepreneur, Mahmoud is an award-winning product builder, recognized in major international competitions for his ability to rapidly take AI-native applications from initial concept to scaled, profitable ventures.
Key Achievements
- •Co-authored patent for novel data harmonization engine
- •Award-winning product builder in international competitions
- •Guest Lecturer at University of Toronto on AI tools and data ethics
- •Key architect in emerging field of Answer Engine Optimization
Cho Yin Yong is an AI Engineering Leader and University Lecturer whose work sits at the intersection of artificial intelligence, web architecture, and user experience. With a career built on a deep curiosity for navigating technological change, Cho brings a unique, foundational perspective to the emerging field of Answer Engine Optimization (AEO).
As an AI Engineering Leader, he has guided development teams in delivering complex projects, earning two co-authored patents and two competitive AI awards for his work in practical AI applications. His hands-on experience building AI-driven systems, like the "Instant Intelligence" platform ziani.ai, gives him an expert's understanding of how large-scale models process information.
Cho is the youngest sessional lecturer promoted in the CMS department at the University of Toronto, where he teaches "Engineering Large Software Systems" and "Programming on the Web." This academic position grounds his practical AI expertise in a deep understanding of web technologies and system architectures.
Key Achievements
- •Two co-authored patents in AI applications
- •Two competitive AI awards
- •Creator of "Instant Intelligence" platform ziani.ai
- •Youngest sessional lecturer promoted in CMS department at 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 maintaining critical infrastructure.
The web is undergoing its biggest shift since the iPhone. People are stopping "searching" and starting "asking." If your content isn't optimized for this shift, you will disappear.
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 our hosting engine.
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" or the idea that content can influence how LLMs cite sources. That credit belongs to innovators like Metehan, whose early experiments demonstrated that strategic prompts could signal content authority to language models.
What cite-met brings to the table is infrastructure. We took the validated concept of AI share buttons and built the entire ecosystem around them: SSG conversion pipelines, llms.txt generation, structured data injection, 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
Plant seeds in AI memory.
📈[E] EFFECTIVE
Harvest real results.
📊[T] TRACKABLE
Watch citations bloom.
Explore Our Work
Platform Technology
See how our SSG conversion engine, crawler management system, and real-time analytics work together to make your site AI-visible.
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.
Build on Infrastructure You Can Trust.
Backed by real-world experience, academic rigor, and proven results.