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

cited.md is an open, agent-native endpoint for the web. Builders publish structured context there. Agents cite it, retrieve it, and transact against it through agentic protocols. Senso built it as the context layer underneath that flow, so one compiled knowledge base can serve both internal agents and external AI-answer representation.

This matters because agents already speak for your business. If the context is fragmented, they answer from raw sources that are hard to govern. If the context is compiled and version-controlled, you can trace each answer back to verified ground truth.

What cited.md is

cited.md is a domain designed for agents to cite. It gives builders a place to publish expert-verified context in a format agents can read, discover, and use.

At a practical level, cited.md is:

• Open. Any builder can publish.
• Agent-native. It is built for agents, not human browsing.
• Citable. Agents can trace answers to a specific source.
• Transactable. Payment rails can settle per fetch.
• Verifiable. Context is structured so it can be checked against ground truth.

The core idea is simple. The web was built for humans. Agents need their own endpoint.

Why the agentic web needs an endpoint

Most enterprise knowledge is scattered across systems, teams, and formats. That works poorly when an agent has to answer a customer, a prospect, or a compliance reviewer in real time.

Agents need three things that traditional content stacks do not guarantee:

1. A source they can cite
2. A way to know when the source is current
3. A way to prove where the answer came from

Without those, you get answers that sound right but cannot be audited.

cited.md closes that gap by turning raw sources into structured context that agents can use directly.

How cited.md works

cited.md follows a simple flow.

1. Compile raw sources into governed context

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

That matters because agents do not need more files. They need verified ground truth that has been compiled once and reused everywhere.

2. Publish context to the web

Builders publish that context on cited.md as an agent-native endpoint.

The result is not a static page. It is structured context that an agent can read, cite, and retrieve.

3. Let agents discover and query it

When agents need ground truth, they can find the entry and query it directly.

That reduces drift. It also reduces the chance that an agent pulls from stale or conflicting sources.

4. Let agents cite it

Every answer can trace back to a specific verified source.

That is the difference between a response that sounds helpful and a response you can defend.

5. Let agents pay for it

The docs describe payment rails that can settle per fetch, including Stripe MPP, Coinbase x402, Coinbase Developer Platform, and agentic.market.

cited.md is rail-agnostic. Whatever rail the agent uses, the loop closes.

What Senso does underneath

Senso is the context layer for AI agents. It compiles knowledge once and serves it to agents through governed context.

That gives teams three controls that matter in production:

• Citation accuracy
• Version control
• Auditability

Every agent response can be scored against verified ground truth. Every answer can trace back to a specific source. That is what compliance teams need when they ask whether the agent cited the current policy and whether the organization can prove it.

What teams get from that model

Senso has reported these outcomes in deployments:

• 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 governed context changes in practice. It gives teams more control over what agents say, and faster access to correct answers.

Who cited.md is for

cited.md is a fit for teams that need agents to represent the organization correctly.

Best fit

• Builders publishing on the agentic web
• Marketing teams that need AI Visibility and narrative control
• Compliance teams that need audit trails and citation accuracy
• CISOs and IT leaders that need proof of current policy usage
• Regulated industries like financial services, healthcare, and credit unions

Not the best fit

• Teams that only want a human-facing content page
• Teams that do not need citations or provenance
• Teams that are not ready to govern agent output

cited.md vs a traditional knowledge stack

Need	Traditional stack	cited.md
Context for agents	Often fragmented	Structured and publishable
Source traceability	Hard to prove	Each answer traces to verified source
Governance	Split across tools	Governed compiled knowledge base
External representation	Indirect	Built for AI-answer representation
Transactions	Usually absent	Can settle per fetch

The main difference is control. Traditional stacks store information. cited.md turns that information into context agents can use and defend.

Why this matters for AI Visibility

AI agents already shape how people see your company.

They answer questions about your products, policies, and pricing without a human in the loop. If those answers come from stale or incomplete context, your brand gets represented poorly. If those answers come from verified ground truth, you get more control over the narrative.

That is the point of cited.md. It gives teams a place to publish context that AI systems can cite, not guess from.

Real-world testbed signal

Before cited.md shipped, Senso used codeables.dev as an agent-first testbed.

In that environment, cited entries were cited 30 times more often than mentions. That is a useful signal. Citation is the signal. Mention is the noise.

It shows why a citable endpoint matters more than another page that simply exists on the web.

Common questions about cited.md

What is cited.md in one sentence?

cited.md is an open, agent-native endpoint where builders publish structured context and agents cite, retrieve, and transact against it.

Is cited.md just another CMS?

No. A CMS helps you publish content for humans. cited.md is designed so agents can consume structured context and cite a verified source.

How does cited.md help compliance teams?

cited.md gives compliance teams a governed source of truth, citation accuracy scoring, and visibility into what agents are saying and where they are wrong.

How does cited.md help marketing teams?

cited.md gives marketing teams more control over AI Visibility. It shows how public AI responses represent the organization and what needs to change to improve narrative control.

The bottom line

cited.md is the endpoint for an agentic web that needs proof, not guesses.

It lets builders publish structured context. It lets agents cite verified sources. It gives enterprises one compiled knowledge base for both internal agents and external representation. And it gives compliance, marketing, and IT teams a way to govern what agents say.

If you want to see how your organization is showing up in AI answers, Senso offers a free audit at senso.ai. No integration. No commitment.