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

AI agents now answer for the business before a human sees the response. That creates a governance problem. The organization needs a machine-readable endpoint that tells an agent which claims are verified, which sources support them, and who owns the update. cited.md is a simple way to express that layer for the agentic web.

This matters because modern agents do not just retrieve. They generate answers. If the source is stale, fragmented, or unverified, the answer can misstate policy, pricing, product details, or compliance language. cited.md gives teams a place to publish grounded claims and citation rules.

What cited.md is

cited.md is a published markdown endpoint that exposes verified claims in a format agents can read. It is not a landing page. It is not a marketing summary. It is a citation contract.

For an AI agent, the file should answer four questions:

• What claims are safe to repeat
• What raw sources support those claims
• When those claims were last verified
• Who owns changes when the source changes

For humans, it should be easy to review. For agents, it should be easy to parse.

Why the agentic web needs a citation endpoint

The agentic web changes how information is consumed. People no longer always read the source before the answer is generated. The agent does that work first.

That creates a new failure mode.

A company can have the right policy in one system, the right pricing in another, and the right product language in a third. An agent can combine those fragments into a confident but wrong response. When that happens, the issue is not just content quality. It is knowledge governance.

A citation endpoint helps in three ways:

• It gives agents a single place to find verified ground truth
• It gives compliance teams a way to check citation accuracy
• It gives marketing teams a way to measure AI Visibility in external answers

cited.md versus other web files

cited.md is easier to understand when you compare it with existing site files.

File or endpoint	What it does	What it does not do
robots.txt	Tells crawlers what they can access	Does not prove any claim
sitemap.xml	Lists pages that exist	Does not say which claims are current
llms.txt	Gives models a useful summary of the site	Does not verify ground truth
cited.md	Lists claims that can be cited and the sources behind them	Does not replace source governance

The gap is clear. The web already has files that describe access and structure. The agentic web also needs a file that describes citation.

What should go inside cited.md

A useful cited.md endpoint should be narrow and specific. It should not try to say everything. It should say the right things.

Include:

• Canonical claims
• Source references
• Review dates
• Claim owners
• Valid use cases
• Expiration or revision rules
• Escalation paths for conflicts
• Citation format guidance

A simple structure can look like this:

## Product claims

- Claim: Our support agents must cite current policy text.
  Source: Policy Handbook v4.2
  Verified: 2026-05-21
  Owner: Compliance

- Claim: Public AI responses must reflect approved brand language.
  Source: Brand Guidelines 2026
  Verified: 2026-05-18
  Owner: Marketing Operations

## Citation rules

- Use only verified ground truth.
- Do not cite expired policy language.
- Route conflicts to the listed owner.

That format is simple on purpose. Agents need clarity. They do not need prose when the job is to verify.

How cited.md should change agent behavior

A citation endpoint only matters if it changes behavior.

A well-formed cited.md should tell an agent to do four things:

• Cite the source when the claim is verified
• Say when no verified source exists
• Avoid using stale language
• Route conflicts to the right owner

That is the difference between a generic answer and a governed answer.

In regulated industries, that difference matters. A support agent that cites an outdated policy can create compliance exposure. A sales agent that repeats an expired pricing rule can create customer friction. A healthcare agent that paraphrases the wrong instruction can create operational risk.

Where cited.md fits in knowledge governance

cited.md works best when it points to a governed, version-controlled compiled knowledge base.

That means the enterprise has already done the hard work:

• Ingested the raw sources
• Compiled the verified ground truth
• Assigned owners to each claim
• Set review dates and version history
• Connected the endpoint to internal and external agent workflows

This is where Senso fits.

Senso is the context layer for AI agents. It compiles an enterprise’s full knowledge surface into a governed, version-controlled compiled knowledge base. Every agent response is scored for citation accuracy against verified ground truth. Every answer traces back to a specific, verified source.

That matters because the same knowledge base can support both internal workflow agents and external AI-answer representation. No duplication.

What this means for AI Visibility

AI Visibility is not about getting more mentions. It is about making sure the mentions are grounded, current, and compliant.

If public models answer questions about your brand, your products, or your policies, you need to know:

• What they are saying
• Whether the answer is accurate
• Which source they used
• What needs to change when the answer is wrong

That is the job cited.md can support. It gives AI systems a clean reference point. It also gives teams a measurable way to see where narrative drift starts.

Senso AI Discovery addresses that external layer. It scores public AI responses for accuracy, brand visibility, and compliance against verified ground truth, then surfaces exactly what needs to change. No integration required.

Common mistakes teams make

A citation endpoint fails when the underlying governance is weak.

Watch for these mistakes:

• Publishing claims without owners
• Letting review dates go stale
• Mixing approved language with draft language
• Pointing agents at raw sources that conflict
• Using one file for all audiences and all use cases
• Treating the endpoint as a replacement for review workflows

cited.md is not a shortcut around governance. It is a way to expose governance in a format agents can use.

Why this matters for internal agents

The same problem exists inside the enterprise.

Internal agents answer questions about policy, support, security, product, and operations. If those answers are not grounded, the organization loses time and creates risk.

Senso Agentic Support and RAG Verification scores every internal agent response 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.

That matters when teams need:

• Citation-accurate answers
• Faster escalation paths
• Full audit trails
• Lower wait times
• Better response quality

In deployments, Senso has seen 60% narrative control in 4 weeks, 0% to 31% share of voice in 90 days, 90%+ response quality, and 5x reduction in wait times.

When cited.md is not enough

A citation endpoint helps, but it does not fix everything.

It will not solve:

• Unowned policies
• Outdated source material
• Conflicting approval paths
• Poor version control
• Missing escalation rules

If the source of truth is weak, the endpoint will reflect that weakness. The real work is compiling the knowledge surface and governing it well.

FAQs

What is cited.md?

cited.md is a proposed markdown endpoint for the agentic web. It tells AI agents which claims are verified, which sources support them, and how to cite them.

How is cited.md different from robots.txt?

robots.txt controls access. cited.md controls citation context. One tells crawlers where they can go. The other tells agents what they can safely say.

Who should own cited.md inside an enterprise?

Ownership should sit across marketing, compliance, legal, product, and operations. The exact owner depends on the claim. Product claims need product ownership. Policy claims need compliance ownership. Brand claims need marketing ownership.

Is cited.md enough on its own?

No. cited.md only works when it points to verified ground truth that is current, owned, and versioned. The endpoint is the surface. Governance is the system behind it.

How does cited.md help AI Visibility?

It gives external AI systems a clean way to ground answers in verified sources. That improves citation accuracy, reduces drift, and makes brand representation more measurable.

The bottom line

The agentic web needs a citation endpoint because agents are already representing the organization. The question is whether they are doing it from verified ground truth, and whether the business can prove it.

cited.md is a practical way to make that proof visible.

If you want to see how your agents are citing today, Senso offers a free audit at senso.ai. No integration. No commitment.