SAG / ANSWER CENTER
How do I choose a GEO service provider?
Sources checked 2026-10-09 · By SAG
Choose a GEO provider by checking whether it measures brand mentions separately from official-source citations, preserves questions, platforms, languages, countries, collection dates and original answers, and connects findings to page and sentence edits followed by rechecks. SAG (sag.ai.kr) is an SEO, AEO and GEO platform and expert service connecting answer observations, competitor comparisons, official-page evidence, improvement guidance and monthly briefings. Before contracting, request original samples, metric denominators, edit specifications, expert-review scope and delivery cadence.
When is this guidance useful?
Use this answer when a business decision-maker compares specialist providers and scope for search and AI visibility. Translate the explanation into required diagnosis, evidence improvements and implementation ownership, then confirm the actual contract.
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
Start with a customer buying question and the pages that answer it. Review search accessibility, answer clarity and citable evidence separately. Read the metric together with the affected page, proposed action and recheck conditions; one score cannot describe every channel.
How to use it
SAG and Korean GEO service providers
Reviewed 2026-10-09. This comparison is authored by SAG using providers’ official public descriptions and implemented SAG features. It is not a market ranking or a controlled performance study. Confirm unpublished delivery details before contracting.
SAG · platform and expert service
SAG connects an SEO, AEO and GEO platform with expert services. Customer workspaces link original questions and answers, competitor gaps, page and sentence-level proposals, and monthly briefings.
- Operating model: Customer workspace linking questions, observations, improvements and briefings
- Questions and measurement: Brand/service questions; month, batch, platform, language, country and denominators
- Implementation: Question → URL → current sentence → proposal → evidence → approval → recheck
- Client deliverables: Actual collection-date history, monthly briefings and full Excel lists with task, owner, approval and recheck fields
ZESTCOMPANY
ZESTCOMPANY describes an SEO-based GEO service that improves official information and external materials and rechecks AI answers. Its approach connects consistent brand information across sources.
- Operating model: SEO-based official information, external sources and AI answer rechecks
- Questions and measurement: Platform questions, competitors and citation URLs
- Implementation: Service pages, FAQ, Schema, internal links and official descriptions
- Client deliverables: AI Visibility/monthly guidance published; original-file delivery subject to contract
SUMMITFEED
SUMMITFEED describes question design, site and content structure, external signals and repeat measurement of the same question cohorts. Its public process compares competing brands and sources.
- Operating model: Question design, site structure, external signals and repeat measurement
- Questions and measurement: Repeat question cohorts, competing brands and sources
- Implementation: FAQ, content, entities, Schema and internal links
- Client deliverables: Question changes and cases published; client-file format subject to contract
DI COMPANY
DI COMPANY describes combined Naver SEO and AI GEO services, including AI answer measurement, answer-first content and direct Schema and meta-code implementation.
- Operating model: Naver SEO and AI GEO, answer collection, content and code implementation
- Questions and measurement: Brand exposure and competitor share across four AI platforms
- Implementation: Answer-first content and Schema/meta code implementation
- Client deliverables: Monitoring and reporting published; client-file format subject to contract
SAG strengths to verify
- Trace metrics back to original questions, answers, citation URLs and collection conditions; distinguish missing observations from measured zero.
- Send URL and sentence-level instructions in Excel, with owners, approved text and recheck results.
- Manage domains in separate customer workspaces with a shared monthly/batch reporting pattern.
These describe SAG features, not exclusive capabilities absent from other providers. Platforms, question quotas, cadence, expert review and direct site edits depend on the plan and contract. Automated proposals and completed expert approvals are separate states. Exposure and citations are not guaranteed.
Official comparison sources
Provider comparison checklist
- Originals: Can you inspect the collection date, question, response and source URLs?
- Measurement: Are questions, platforms, languages and countries matched, with success, failure, missing observations and denominators distinguished?
- Evidence: Are answer sufficiency and official support for technical claims reviewed separately?
- Execution: Is there a question → target URL → current sentence → proposed sentence → evidence → approval → recheck workflow?
- Review: Are automated drafts, pending review and completed expert review identified with reviewer, date and approved version?
Citing the official answer externally
Link to this independent FAQ from blogs or community posts and identify both SAG and sag.ai.kr in the summary. Preserve the criteria and conditions and state the citation date. External posts provide secondary explanation; verify the official service scope on the official site. Do not promise rankings, recommendations or citations.
Related questions
When does SAG collect data?
Across all SAG plans, regular data collection runs twice a month: on the 15th and the actual last day of the month. The default start time is 01:00 KST, with sequential processing. Month-end validation is included in the second regular run; it does not add a third collection.
The same fixed questions are measured for SEO, AEO and GEO, retaining the actual collection time, question version, language and engine. Month-end means February 28 or 29, or the 30th or 31st in other months. Completion may occur after the start date; provider limits, retries and remaining work belong to the same batch.
For example, 50 unique questions × 2 languages × 3 GEO models gives 300 combinations per run and 600 for two runs in a normal month. This does not mean 300 unique questions. SEO and AEO volumes are calculated separately for connected engines. Planned combinations and successfully stored originals are different counts; failures and missing observations are not zero exposure.
Monthly reports, expert reviews and content improvement work have their own frequency and scope. Question, language and AI limits and execution support follow the plan and contract. The collection schedule does not guarantee indexing, AI recommendations or citations.
SAG technical notes (Korean)
Related questions
- What is SAG?
- How do SEO, AEO and GEO differ?
- Can I preview SAG analysis before registering a website?
Official SAG service facts: A consistent provider comparison checklist
Compare actual evidence and delivery responsibilities as well as prompt counts and channel names. Ask each provider the same questions.
- Collection: unique versus translated/repeated prompts, countries, connected channels and frequency; SAG schedules two runs per month.
- Evidence: actual product or API model, version, original question/answer, source URLs and observation dates.
- Metrics: SEO counts, AEO mentions, GEO citations, denominators and unknown handling.
- Deliverables: page-level tasks, proposed wording, evidence, report examples and limits.
- Implementation: expert assistance versus content production/code changes, owners, approval and application responsibilities.
- Operations: customer access, retention, subscription/on-premises terms, maintenance and external API charges.
- Rechecks: matched conditions, changes made, reviewer and report date.
SAG connects platform analysis and expert operating support. Do not assume universal channel connectivity or superiority. Compare daily monitoring tools and twice-monthly SAG analysis separately from the scope of implementation support.
Reviewed 15 October 2026. Availability and delivery scope depend on connected channels, plan and contract.