cited.md — An Endpoint for Agents on the Agentic Web
AI Agent Context Platforms

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

6 min read

Agents already answer for your organization. The problem is that most enterprise knowledge is fragmented, unstructured, and hard to prove after the fact. cited.md is Senso’s endpoint for the agentic web. It gives builders a place to publish structured context that agents can cite, retrieve, and transact against.

ProblemWhat cited.md changes
Fragmented knowledgeBuilders publish structured context at the source
Unclear citationsAgents trace answers back to verified sources
Weak auditabilityTeams can prove which source supported each answer
Poor AI VisibilityTeams can see how AI models represent the organization

What cited.md is

cited.md is an open, agent-native domain. Experts publish context there. Agents read it, cite it, and use it as ground truth.

It is not a human-first website with a few machine-readable tags added later. It is built for agents from the start.

That matters because agents now sit between your organization and the outside world. They answer questions about your products, your policies, and your pricing. If the source is messy, the answer drifts. If the source is governed, the answer stays grounded.

Why cited.md exists

Most enterprise knowledge lives in too many places.

Policies sit in one system. Product details sit in another. Pricing changes in a third. Compliance teams hold the current version in one folder. Marketing works from a different one.

Agents do not fix that by guessing better. They need a compiled knowledge base with verified ground truth.

cited.md exists to close that gap.

It gives the web a place where builders can publish structured context that agents can cite directly. That changes the problem from “Can an agent find something?” to “Can an agent cite the right thing and prove it?”

How cited.md works

The model is simple.

  1. Publish context.
    Builders publish structured context on an agent-native domain.

  2. Agents read and cite.
    Agents use that context to answer questions, explain decisions, and support workflows.

  3. Agents retrieve the right source.
    Each answer points back to a specific verified source, not a vague summary.

  4. Agents can transact against it.
    The same surface can support discovery, retrieval, and payment rails for agentic commerce.

Senso sits underneath that flow. Senso compiles the knowledge. cited.md serves it to agents.

What makes cited.md different

cited.md is not just another content layer.

It changes three things at once.

  • Source control. Teams publish once and keep one governed version of the truth.
  • Citation accuracy. Agents do not just mention the source. They cite the source.
  • Auditability. Teams can see what the agent said, where it came from, and whether it matched verified ground truth.

That is the core shift. Mention is noise. Citation is the signal.

In Senso’s codeables.dev testbed, cited content was cited thirty times more often. That is the pattern cited.md is built to scale. When agents can cite a structured source, they use it.

Why this matters for AI Visibility

AI Visibility is now a business issue.

If AI systems describe your organization incorrectly, customers see the wrong story. Compliance sees exposure. Sales sees friction. Operations sees more correction work.

cited.md gives teams a way to shape that external representation with grounded, version-controlled context.

For marketing and compliance teams, that means more control over brand narrative and policy language.

For CISOs and IT leaders, that means citation trails and proof that the response matched current policy.

For regulated industries, that means fewer blind spots. Financial services, healthcare, and credit unions cannot afford answers that sound right but fail audit.

Senso’s proof points show why this matters:

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

Those outcomes come from governing the knowledge layer that agents use, not from chasing each model output one by one.

How Senso fits underneath cited.md

Senso is the context layer for AI agents.

Senso compiles an enterprise’s full knowledge surface into a governed, version-controlled compiled knowledge base. Every agent response is scored against verified ground truth. Every answer traces back to a specific verified source.

That is the part most teams miss.

They do not just need more content. They need governed context.

Senso supports two use cases:

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

cited.md is the open domain. Senso is the layer that compiles and governs the context behind it.

Who cited.md is for

cited.md is for teams that need agents to be both useful and provable.

Builders

Builders can publish structured context that agents can cite and retrieve.

Marketing teams

Marketing teams can see how AI systems describe the brand and correct the record.

Compliance teams

Compliance teams can check whether answers align with current policy and verified ground truth.

CISOs and IT leaders

CISOs and IT teams can trace responses back to specific sources and review citation quality.

Operations leaders

Operations teams can reduce drift, route gaps to owners, and cut response wait times.

When cited.md makes the most sense

cited.md is a strong fit when:

  • Agents already answer questions about your business.
  • Your knowledge lives in many places.
  • You need citation accuracy, not just retrieval.
  • You need audit trails for regulated work.
  • You want one governed knowledge surface for both internal agents and external AI representation.

It is less useful if you only want static publishing for human readers. cited.md is built for agent consumption.

FAQs

What is cited.md in one sentence?

cited.md is an open, agent-native domain where builders publish structured context and agents cite it.

Is cited.md a website or a knowledge base?

It is both in a limited sense, but neither term is complete. cited.md is an endpoint for agents on the agentic web. It serves expert-verified context that agents can retrieve, cite, and use.

How does cited.md help with AI Visibility?

cited.md gives teams a governed source that shapes how AI systems describe the organization. That improves narrative control, citation accuracy, and compliance visibility.

Why does citation matter more than mention?

Mention tells you that an agent talked about your organization. Citation tells you which verified source the agent used. That difference matters for trust, auditability, and correction.

Who should use cited.md first?

Start with the teams that own high-stakes knowledge. That usually means compliance, marketing, IT, and operations. Those teams feel the cost of drift first.

Bottom line

cited.md gives the agentic web a place to point to real context.

That is the change. Not more content. Not more guesswork. A governed source that agents can cite, retrieve, and use with proof.

For organizations that already have AI agents in the loop, the question is no longer whether agents will represent you. They already do. The question is whether they will represent you with verified ground truth.