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Business judgment on AI products

fire-your-seo-agency

A Claude Code skill that audits and optimizes SEO, AEO, GEO, LLMO, and Naver search optimization. Users provide website content and structure, and it executes optimization suggestions, potentially replacing AI search optimization agencies costing 500,000 to 3,500,000 KRW per month. Specific workflow and deliverables still need verification.

Not a business yet Early Open-source projectAI + BusinessMarketingSearch Engine OptimizationSEO SpecialistContent Marketing ManagerSouth KoreaGlobalCross-market opportunityOpen-source traction 436
Team / maker
leopard627
First tracked here
2026-08-27
Last updated here
2026-09-15
Product site
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01

Why this would be needed

Start inside the user's day · Public facts + observable behavior · 2026-09-15

Use case

An SEO specialist or content marketing manager, when a site's pages and metadata must be tuned for Google, AI answer engines and Naver at once, hands the site content and structure to this Claude Code skill to run a cross-channel SEO/AEO/GEO/LLMO/NEO audit and apply the optimization output.

The current alternative is outsourcing to a monthly-fee AI search optimization agency, or having an SEO specialist manually check and edit items across multiple tools and channels.

The stated pain is that AI-search optimization agencies charge KRW 500k-3.5M per month, a recurring cash cost for small sites, while the work spans multiple channels and needs repeated manual auditing; leaving it unsolved means continued loss of visibility in both classic search and AI answer engines.

xOcto's call

Demand is evidenced

Trend: AI agents are beginning to replace outcome-based SEO outsourcing. Entry point: start with localized search optimization for Naver in Korea and Google globally, charging based on performance or a share of saved agency fees, not per seat.

Reason to use it

Why users would choose it

Inference: versus a monthly agency retainer or manual item-by-item auditing, the skill reads site content inside Claude Code and produces a cross-channel audit and optimization actions in one pass, removing the agency coordination and multi-tool switching steps, so budget-constrained operators of small sites that also need Naver coverage would pick it when building an in-house optimization flow.

Where the easy answer breaks down

The tension worth following

An English validation note will follow from the public evidence.

If this is your job

Worth trying. Inference: versus a monthly agency retainer or manual item-by-item auditing, the skill reads site content inside Claude Code and produces a cross-channel audit and optimization actions in one pass, removing the agency coordination and multi-tool switching steps, so budget-constrained operators of small sites that also need Naver coverage would pick it when building an in-house optimization flow.

Entry and what to borrow

Trend: AI agents are beginning to replace outcome-based SEO outsourcing. Entry point: start with localized search optimization for Naver in Korea and Google globally, charging based on performance or a share of saved agency fees, not per seat.

What this judgment rests on
Public fact

A Claude Code skill that audits and optimizes SEO, AEO, GEO, LLMO, and Naver search optimization. Users provide website content and structure, and it executes optimization suggestions, potentially replacing AI search optimization agencies costing 500,000 to 3,500,000 KRW per month. Specific workflow and deliverables still need verification.

Workflow reasoning

Inference: versus a monthly agency retainer or manual item-by-item auditing, the skill reads site content inside Claude Code and produces a cross-channel audit and optimization actions in one pass, removing the agency coordination and multi-tool switching steps, so budget-constrained operators of small sites that also need Naver coverage would pick it when building an in-house optimization flow.

The unknown that could change the call

An English validation note will follow from the public evidence.

01 · Value Supported

The assessment is recorded; an English explanation is pending.

03 · Model Insufficient evidence

The assessment is recorded; an English explanation is pending.

04 · Truth Insufficient evidence

The assessment is recorded; an English explanation is pending.

02

Chinese and English ecosystems

Market comparison · Cross-market opportunity

English ecosystem · English-language market

Local supply: Emerging
Demand evidence: Not yet verified

Public coverage has been recorded for this market. · 2026-09-15

Chinese ecosystem · CN

Local supply: Not found in covered sources
Demand evidence: Not yet verified

Public coverage has been recorded for this market. · 2026-09-15

There is no full analysis yet. Start with the direction above.

Public information is limited; this view will update as more evidence appears. It was recently added and does not yet have verifiable usage data.

Full analyses of similar products: getopen, gtm-cofounder

04

Verifiable public evidence

Evidence trail

05

Go from the product name to primary material

Use these searches when the official site is missing or the current link is only a lead.