MCP tools

list_sources

The domains and pages AI answers cite for this asset's questions inside a trailing window, yours and everyone else's: classification (target_owned, competitor_owned, neutral_third_party, unknown), citations, the answers citing the domain as a share of sampled answers with n and a Wilson interval, a URL, a title, best position, engines. Most cited first. Filters: a domain substring, a classification. No sampled answer in the window means not measured, never zero.

When to use it

  • Use it when: You need which domains and pages AI answers cite for this site's questions, yours and everyone else's.
  • Not when: You need a headline share; that is get_answer_share. You need what was quoted from you; that is list_cited_passages.

Parameters

NameTypeRequiredDescription
assetIdstringyesThe Visibility Asset UUID to query.
windowDaysnumbernoTrailing window in days; default 28, at most 365.
domainstringnoOnly domains containing this text.
classificationstringnoOnly this classification: target_owned, competitor_owned, neutral_third_party or unknown.
limitnumbernoMaximum items to return; default 50, at most 200.

What comes back

Every field this tool can return. Checked against the handler on a real database in the test suite, not typed from memory.

FieldMeaning
assetIdThe asset asked about, echoed back.
dataStatusOne of ok, not_measured or empty_filter. not_measured means no measurement of this kind exists yet, which is not zero; empty_filter means data exists and your filter matched none of it.
hrefThe dashboard page that holds the evidence behind this result, for the right site. A signed-in person can open it; quote it beside the numbers.
windowDaysThe trailing window the sources cover.
nSampled answers inside the window: the denominator of every share below.
totalHow many cited domains the window holds before the filters and the limit.
sourcesPer domain, most cited first: classification (target_owned, competitor_owned, neutral_third_party, unknown), citations, answers citing it, that as a share with n and interval, a URL, a title, best position, engines.
noteWhat the classifications mean and how the share is computed.

What comes back with the number

Shares arrive with the sample size behind them and a 95% Wilson interval. Values carry a provenance of measured, estimated or derived. A pillar that was not measured reports as not measured rather than as zero, and the composite Visibility Score is held until at least 5 of its 7 pillars are measured.

Example request

The wire shape, from the schema. Every argument is a placeholder.

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "list_sources",
    "arguments": {
      "assetId": "<assetId from list_assets>",
      "windowDays": "<number>",
      "domain": "<domain>",
      "classification": "<classification>",
      "limit": "<number>"
    }
  }
}

What dataStatus means

  • ok: There is at least one result, or a measured zero.
  • not_measured: No measurement of this kind exists yet for the asset. Not zero, and not a broken connection.
  • empty_filter: Data exists, and the filter you passed matched none of it. Retry without the filter.

Example prompt

Call list_sources for my site over the last 28 days. Which third-party pages do the engines cite instead of ours?

Calling it

Connect the MCP server at https://app.seoaio.ai/api/mcp over the Streamable HTTP transport. Per-customer authentication is required, so nothing is exposed without it. Call list_assets first: every other tool needs an assetId from it.

Next

For an agent

Read the skill at /SKILL.md before calling anything. It carries the tool order and the rules for quoting a number, including the one that matters most: quoting a share without its interval overstates what we measured.