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GEO MCP by DigestSEO

Get AI citation evidence

get_citations
Read-only

Retrieve stored brand citations and top engine-native source domains from AI engines for a specified period. Filter by engine and days to assess brand visibility.

Instructions

Return stored brand citation evidence plus the top engine-native source domains across the same tracked-prompt window. Example: brand_id='acme', days=14, engine='perplexity'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoPrevious days to search.
engineNoEngine to filter by; omit for all engines.
brand_idYesTracked brand ID to inspect.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysYes
engineYes
brand_idYes
citationsYes
top_sourcesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.3.24
    • addedOutput schema / properties / top_sources
      Added value: +{
      +  "items": {
      +    "additionalProperties": false,
      +    "properties": {
      +      "citation_count": {
      +        "type": "number"
      +      },
      +      "domain": {
      +        "type": "string"
      +      },
      +      "engines": {
      +        "items": {
      +          "type": "string"
      +        },
      +        "type": "array"
      +      },
      +      "is_brand_domain": {
      +        "type": "boolean"
      +      },
      +      "prompt_count": {
      +        "type": "number"
      +      },
      +      "sample_url": {
      +        "type": "string"
      +      }
      +    },
      +    "required": [
      +      "domain",
      +      "citation_count",
      +      "prompt_count",
      +      "engines",
      +      "sample_url",
      +      "is_brand_domain"
      +    ],
      +    "type": "object"
      +  },
      +  "type": "array"
      +}
    • changedOutput schema / required
      Previous value: -[
      -  "brand_id",
      -  "days",
      -  "engine",
      -  "citations"
      -]New value: +[
      +  "brand_id",
      +  "days",
      +  "engine",
      +  "top_sources",
      +  "citations"
      +]
  2. Changed3 schema fields changedv0.3.23
    • changedInput schema / properties / brand_id / description
      Previous value: -"Stable identifier of the tracked brand to inspect."New value: +"Tracked brand ID to inspect."
    • changedInput schema / properties / days / description
      Previous value: -"Number of previous days from which to return citations."New value: +"Previous days to search."
    • changedInput schema / properties / engine / description
      Previous value: -"Optional engine filter for the citation events."New value: +"Engine to filter by; omit for all engines."
  3. Changed1 schema field changedv0.3.19
    • changedInput schema / properties / engine / enum
      Previous value: -[
      -  "chatgpt",
      -  "claude",
      -  "perplexity",
      -  "gemini",
      -  "grok",
      -  "ai_overviews"
      -]New value: +[
      +  "chatgpt",
      +  "claude",
      +  "perplexity",
      +  "gemini",
      +  "grok",
      +  "ai_overviews",
      +  "ai_mode"
      +]
  4. Changed1 schema field changedv0.3.18
    • changedInput schema / properties / engine / enum
      Previous value: -[
      -  "chatgpt",
      -  "claude",
      -  "perplexity",
      -  "gemini",
      -  "ai_overviews"
      -]New value: +[
      +  "chatgpt",
      +  "claude",
      +  "perplexity",
      +  "gemini",
      +  "grok",
      +  "ai_overviews"
      +]
  5. Changed4 schema fields changedv0.3.4
    • removedOutput schema / properties / citations / items / properties / cited_url / anyOf
      Removed value: -[
      -  {
      -    "type": "string"
      -  },
      -  {
      -    "type": "null"
      -  }
      -]
    • addedOutput schema / properties / citations / items / properties / cited_url / type
      Added value: +[
      +  "string",
      +  "null"
      +]
    • removedOutput schema / properties / engine / anyOf
      Removed value: -[
      -  {
      -    "type": "string"
      -  },
      -  {
      -    "type": "null"
      -  }
      -]
    • addedOutput schema / properties / engine / type
      Added value: +[
      +  "string",
      +  "null"
      +]
  6. First observedv0.3.2

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds useful behavioral context about returning stored evidence and scoping to the same tracked-prompt window, which goes slightly beyond annotations. It does not, however, explain result ordering, limits, or empty-result behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with zero filler, and the example is an efficient way to convey parameter combination. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only tool with full schema coverage and an output schema, the description is largely complete: it states the returned data, the scoping concept, and gives a call example. Minor ambiguity remains around what 'same tracked-prompt window' means and what happens when no citations exist, but these are not blocking.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents all three parameters. The description's example reinforces valid values like brand_id='acme', days=14, and engine='perplexity', but it does not add meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific verb and resource: it returns stored brand citation evidence plus top engine-native source domains. It also scopes the query to a tracked-prompt window and provides a concrete example. However, it does not explicitly contrast with sibling tools like get_visibility_history or check_visibility.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives such as get_visibility_history or check_visibility. The description explains what the tool returns but does not mention when it is preferred or what conditions make another tool more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.