get_answer_share
Read only
This page as markdown, for an agentGet the north-star Answer Share for an asset (share of AI-engine answers citing the brand), aggregate + per engine, each with provenance (measured / estimated / mixed).
When to use it
- Use it when: You need the share of sampled AI answers that cite the brand, with its evidence.
- Not when: You need which questions are lost; that is list_prompt_outcomes.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
| assetId | string | yes | The Visibility Asset UUID to query. |
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.
| Field | Meaning |
|---|---|
| assetId | The asset asked about, echoed back. |
| dataStatus | One 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. |
| href | The 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. |
| collectedAt | When the snapshot these values come from was collected. Absent when there is no snapshot. |
| aggregate | value, provenance, n, cited, samples and interval, or null when nothing was sampled. The interval is null when more than one engine contributed. |
| engines | Per engine: value, provenance, n (prompts asked), cited, samples and a Wilson interval in percent. |
| note | How to quote what came back, and why an aggregate can carry no interval. |
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": "get_answer_share",
"arguments": {
"assetId": "<assetId from list_assets>"
}
}
}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 get_answer_share for my site and quote each engine's share with its n and interval, nothing without both.
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.