이삼팔랩(238LAB)

238LAB | A Data-Driven SEO & GEO Specialist Company

238LAB is an SEO and GEO specialist company that designs search infrastructure to enable corporate information to be better discovered and understood in search engine and generative AI environments.

We connect technical SEO, content strategy, data analysis, and website building into a single search growth system rather than individual tasks.

We expand a company's digital touchpoints by analyzing not only visibility in search results but also how generative AIs such as ChatGPT, Gemini, and Claude recognize and cite brands and services.

We focus on building sustainable search acquisition assets rather than short-term ranking gains or one-time traffic acquisition. We review industry-specific competitive landscapes, customer search intent, and the technical limitations of existing websites to provide improvement priorities and guidelines that the operational team can implement.

In particular, considering internal development capabilities and CMS constraints, we distinguish between items that can be applied immediately and tasks requiring mid-to-long-term structural improvements, thereby reducing uncertainty in the execution process.

1. SEO Consulting | Sustainable Search Growth

We comprehensively diagnose the technical foundation and content structure to enable search engines to accurately discover and interpret website information.

We inspect crawling and indexing status, sitemaps, authentic URLs, redirects, internal links, page velocity, structured data, and multilingual site configuration. Based on search demand and competitor analysis, we define core keywords and search intent, and design the roles of each page and the relationships between content.

The diagnostic results go beyond a list of problems and materialize into actionable improvement guides and priorities for development, content, and marketing personnel.

2. GEO Consulting | Generative AI Search Optimization

We expand the scope of response from existing SEO to the generative AI search environment. We examine brand mentions and citations across ChatGPT, Gemini, Claude, Perplexity, and Google AI search results, and analyze differences in responses and citation sources by model.

We review the connectivity of entities, the semantic structure of content, structured data, and external information to ensure that information regarding brands and services is conveyed consistently and clearly. We improve the discovery paths of information that search engines and AI can refer to, and suggest directions for content improvement based on key industry-specific questions. We formulate strategies based on actual citation patterns and competitive landscapes, rather than simply relying on AI exposure. During the measurement process, we consistently manage questions and evaluation criteria to compare results by model and changes over time.

3. SIO | Building SEO·GEO-based Websites

We incorporate search optimization from the planning and design stages, rather than adding it after website creation.

We design information architecture (IA), URL and directory systems, CMS content hubs, semantic markup, structured data, and crawling and indexing environments in an integrated manner.

We consider both the continuity of search assets and operational convenience when building new websites, renewing existing sites, or restructuring domains. We establish a scalable foundation that allows companies to maintain a search-friendly structure even as they add new products and content. By defining meta information and internal link rules for each page template, we support content publishing and search optimization to be integrated into daily operations.

4. Proprietary AI Citation Research

Through in-house research projects, we investigate the current status of brand citations in generative AI and the competitive landscape by industry. By repeatedly applying the same questions to major AI models and collecting and comparing the brands and sources appearing in the responses, we analyze differences between models and recurring citation patterns.

This data is used to identify the questions and topics currently being discussed regarding the company, and to derive information and content to complement its comparison with competing brands. It prioritizes reproducible measurement frameworks and observational data over impressions or speculation regarding individual cases.

Data-driven consulting and performance measurement

Every project begins with a baseline diagnosis to understand the current state. We utilize Google Search Console and GA4 to examine search impressions, organic search traffic, and user behavior, while also exploring brand visibility in the generative AI environment through separate AI citation measurements.

Subsequently, we establish execution priorities for technology improvements, content design, and search infrastructure maintenance, and identify changes and additional tasks by comparing data before and after improvements. We provide actionable SEO and GEO strategies tailored to each company, taking into account the business objectives and internal operational conditions of diverse industries such as B2B, healthcare, e-commerce, and platforms.