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AIO Keywords by Brand

domainAioKeywordsByBrand

Find AI Overview keywords that mention a specific brand for any domain. Enter a brand and country code to uncover branded AIO keyword opportunities, then filter by volume, CPC, difficulty, position, and intent.

Instructions

Fetch AI Overviews domain keywords by brand (v1/domain/aio/keywords-by-brand)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoThe field to sort the results by. Available values: volume, type, snippet_length.volume
brandYesThe brand name to search for in AIO snippets. Example: SE Ranking.
limitNoThe maximum number of keywords to return per page.
scopeNoThe scope of the analysis. Can be base_domain (domain and all subdomains), domain (specific host), or url (exact URL).base_domain
offsetNoThe starting position for paginated results.
sourceYesThe alpha-2 country code for the regional database. Example: us
sort_orderNoThe order for sorting. Available values: asc, desc.desc
filter[cpc][to]NoSpecifies the maximum Cost Per Click (CPC) value for keywords.
filter[intents]NoA comma-separated list of search intent codes to filter keywords.
filter[cpc][from]NoSpecifies the minimum Cost Per Click (CPC) value for keywords.
filter[volume][to]NoSpecifies the maximum monthly search volume for keywords to be included.
filter[traffic][to]NoSpecifies the maximum estimated monthly traffic for keywords.
filter[position][to]NoSpecifies the maximum ranking position for keywords.
filter[volume][from]NoSpecifies the minimum monthly search volume for keywords to be included.
filter[traffic][from]NoSpecifies the minimum estimated monthly traffic for keywords.
filter[difficulty][to]NoSpecifies the maximum keyword difficulty score for keywords to be included.
filter[position][from]NoSpecifies the minimum ranking position for keywords.
filter[competition][to]NoSpecifies the maximum competition score for keywords.
filter[difficulty][from]NoSpecifies the minimum keyword difficulty score (typically 0-100) for keywords to be included.
filter[competition][from]NoSpecifies the minimum competition score (typically 0-1 or 0-100, depending on the metric scale) for keywords.
filter[keyword_count][to]NoSpecifies the maximum number of words in a keyword phrase.
filter[keyword_count][from]NoSpecifies the minimum number of words in a keyword phrase.
filter[characters_count][to]NoSpecifies the maximum character length for keyword phrases.
filter[characters_count][from]NoSpecifies the minimum character length for keyword phrases.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Fetch,' which implies a read-only operation, but provides no detail on pagination behavior, how brand matching works, what data is returned, or how filters interact with the results.

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

Conciseness4/5

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

The description is a single concise sentence and front-loads the core resource. It is not bloated, though it largely restates the title and adds only the endpoint, so it earns a slightly above-average score rather than a perfect one.

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

Completeness2/5

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

This is a complex 24-parameter tool with no output schema and no annotations, yet the description only gives a one-line summary. Essential context—such as what 'by brand' means for querying, the shape of the response, and how pagination and filters behave—is absent, making the tool under-specified for reliable invocation.

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 description coverage is 100%, and the schema already documents all 24 parameters, including enums and defaults. The description adds no additional parameter context, so the baseline score of 3 is appropriate.

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 the action ('Fetch') and the resource ('AI Overviews domain keywords by brand'), plus the endpoint. It is not a tautology and conveys a specific purpose. However, it does not explicitly contrast itself with similar siblings like domainAioKeywordsByTarget or domainAioDiscoverBrand, relying on the phrase 'by brand' to imply the distinction.

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?

There is no guidance about when to use this tool versus its many siblings, no exclusions, and no mention of prerequisites or context. The description only restates what the tool fetches, leaving the agent to infer when it is appropriate.

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