cited.md — An Endpoint for Agents on the Agentic Web

Agents already answer questions about your products, policies, and pricing. That creates a governance gap. cited.md is Senso’s answer to that gap. It is an open, agent-native domain where builders publish structured context and agents cite, retrieve, and transact against verified ground truth.

If you care about AI Visibility, the question is not whether agents will represent your organization. They already do. The question is whether those answers are grounded, citation-accurate, and provable.

What cited.md is

cited.md is an endpoint for the agentic web. Senso built it as an open domain where experts publish context at the source and agents can read, cite, and use that context directly.

The idea is simple.

The web was built for humans. Agents need their own endpoint.

cited.md gives them one. Builders publish structured context. Senso compiles the knowledge underneath. Agents query it, cite it, and use it as a source of verified ground truth.

Why the agentic web needs an endpoint

Most enterprise knowledge is fragmented. Policies live in one system. Product details live in another. Compliance language lives somewhere else. Agents do not have time to reconcile all of that on their own.

That creates four problems.

• Agents answer from incomplete raw sources.
• Teams cannot prove which source an answer came from.
• Public AI responses can misrepresent the organization.
• Internal agents drift from current policy and approved language.

cited.md exists to close that gap. It gives agents a canonical place to find structured context. It also gives organizations a way to show where that context came from.

How cited.md works

cited.md is built around a few simple steps.

1. Publish context Builders publish structured context on the domain.

2. Compile knowledge once Senso compiles an enterprise’s full knowledge surface into a governed, version-controlled knowledge base.

3. Let agents cite it Agents read the published context and cite the source instead of guessing.

4. Transact through agentic rails The architecture is designed to work with agentic protocols and payment rails, including Stripe MPP, Coinbase x402, and agentic.market.

The key point is that cited.md is rail-agnostic. Whatever rail an agent uses, the loop closes.

What makes cited.md different from standard retrieval

Standard retrieval tools can pull text. They do not give you a governed way to prove what an agent used, whether it was current, or how it should be corrected.

cited.md is different because it is built for citation and accountability from the start.

Need	Standard retrieval	cited.md
Source of truth	Fragmented raw sources	Structured context at the source
Citation traceability	Often weak	Every answer can trace back to a verified source
Governance	Limited visibility into drift	Version-controlled knowledge base
External representation	Hard to control	Built for AI Visibility and narrative control
Agent use	Retrieval only	Cite, retrieve, and transact

That difference matters when an agent is speaking for your business.

Who cited.md is for

cited.md is built for builders publishing on the agentic web, but the use cases are broader than that.

Marketing teams

Marketing teams need control over how public AI systems represent the company. cited.md supports that by giving agents structured context to cite, instead of forcing them to infer from scattered public pages.

Compliance teams

Compliance teams need proof. They need to know whether an agent cited the current policy and whether the organization can prove it. cited.md gives them a clearer audit path.

CISOs and IT leaders

Security teams care about citation accuracy, access to verified ground truth, and auditability. cited.md is designed around those needs.

Operations leaders

Ops teams need agents that stay aligned as knowledge changes. cited.md reduces drift by grounding responses in a governed knowledge base.

Regulated industries

Financial services, healthcare, and credit unions need more than a generic retrieval layer. They need governance, version control, and clear accountability for what agents say.

How Senso fits underneath cited.md

Senso is the context layer underneath cited.md.

That matters because the problem is not only publication. The deeper problem is knowledge governance. Most enterprise knowledge is too fragmented for agents to use reliably. Senso compiles that knowledge once, then serves it in a governed form that agents can use.

That gives you one compiled knowledge base for both internal workflow agents and external AI-answer representation. No duplication.

Senso’s products map to that split:

• Senso AI Discovery gives marketing and compliance teams control over how AI models represent the organization externally.
• Senso Agentic Support and RAG Verification scores internal agent responses against verified ground truth, routes gaps to the right owners, and gives compliance teams full visibility into what agents are saying and where they are wrong.

Why citation matters more than mention

Senso’s research on codeables.dev showed that cited content was cited 30 times more often than mention-based content.

That is the signal.

Mention is noise. Citation is what agents can use, verify, and repeat.

cited.md extends that pattern at scale. It gives builders an endpoint where expert-verified context can be discovered and cited by any agent reading the web.

What results look like in practice

When organizations govern the knowledge agents use, they get measurable outcomes.

Senso has reported:

• 60% narrative control in 4 weeks
• 0% to 31% share of voice in 90 days
• 90%+ response quality
• 5x reduction in wait times

Those numbers matter because they show what changes when agents are grounded in verified ground truth instead of scattered sources.

How teams usually start

Most teams start with the problem they can already see.

• Public AI answers are wrong or outdated.
• Internal agents cite the wrong policy.
• Compliance cannot prove what the agent used.
• Marketing cannot control brand representation in AI responses.

cited.md addresses the source of that problem. It gives the web an endpoint for agent-readable context. Senso gives that context structure, governance, and traceability.

FAQs

What is cited.md?

cited.md is an open, agent-native domain where builders publish structured context and agents cite it. It is an endpoint for the agentic web.

Why does cited.md matter?

cited.md matters because agents are already answering for your business. If those answers are not grounded in verified ground truth, you risk misrepresentation, drift, and weak auditability.

How does cited.md differ from a normal website?

A normal website is built for human readers. cited.md is built for agents that need to query, cite, and transact against structured context.

Who should care about cited.md?

Builders, marketers, compliance teams, CISOs, IT leaders, and operations teams should care. Any team that needs citation accuracy and governance should pay attention.

How does Senso relate to cited.md?

Senso builds the context layer underneath cited.md. Senso compiles enterprise knowledge into a governed, version-controlled knowledge base, then serves that knowledge to agents through cited.md.

Bottom line

cited.md is Senso’s endpoint for the agentic web. It gives agents a structured place to find verified context. It gives organizations a way to control how they are represented. And it gives compliance, security, marketing, and operations teams a path to citation accuracy, auditability, and narrative control.

If agents already speak for your business, cited.md is where you decide what they can prove.