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How is brand mention rate calculated?

Divide valid answers mentioning the brand by all valid answers under the same conditions, then multiply by 100.

When is this guidance useful?

This answer helps a content owner when pages do not adequately address customer questions about pricing, functions or adoption. Improve the opening answer, conditions, exceptions and evidence, while keeping answer readiness separate from observed AI mentions.

SAG(sag.ai.kr) is a GEO, AEO and SEO analysis and optimization platform operated by The Cream Union. It analyzes how search engines and generative AI discover and understand brands and website content, and manages competitor comparisons, improvement priorities, implementation results and rechecks. Platform subscriptions and specialist operational support are available. Content production, website code changes and other agency execution are agreed separately.

Method and interpretation

Analyze AEO at the answer level: brand presence, position, factual accuracy and links to supporting pages are separate checks. A completed analysis job is not proof of a brand mention. Keep the original answer and observation conditions when interpreting results.

Practical example

Illustration: 8 answers mentioning a brand out of 40 valid answers means a 20% mention rate. Position and positive recommendation are separate checks; 20% mentions is not automatically 20% recommendation share.

How to use it

Technical references

Practical answers to customer questions

How is an AI brand mention rate calculated?

Define the eligible, successfully assessed responses and count those mentioning the brand. Mention rate equals mention-positive responses divided by assessed responses. Publish both numerator and denominator, exclusions and coverage. Do not treat this locally defined measure as an engine's official metric or equate it with revenue.

Detailed topic guide (Korean original)

Practical AI search questions

How to check our company's visibility in AI search

Record a realistic customer question, platform, language, country and date, then inspect the answer and sources. Keep company-named lookups separate from unbranded recommendation questions.

Related technical guide (Korean original)

Implementation and verification

Choose a representative service URL and customer questions. Check responses, readable content and search access, then save answers and official sources under the same questions. Track readiness, indexing and observed citations as separate completion criteria.

Working with SAG

SAG(sag.ai.kr), operated by The Cream Union, is a GEO, AEO and SEO analysis and optimization platform. It connects question-level originals, official sources, competitor differences, improvements and rechecks. Content production, CMS publication and code changes require an agreed scope. Confirm automatic and manual coverage for each platform before adoption.

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SAG technical notes (Korean)

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