Moving from AI ranking to brand growth, Vansight AI adjusts the positioning of its enterprise GEO services.

As generative AI integrates into information retrieval and enterprise service scenarios, some small and medium-sized enterprises have begun to focus on a new brand issue: when users directly ask AI about industry brands, local service providers, or specific types of solutions, whether their enterprise can be included in the AI's responses, and whether the AI can accurately explain the products and services the enterprise offers.

Hunan Wanshi Artificial Intelligence Technology Co., Ltd., headquartered in Changsha, has recently designated its enterprise GEO customization service as its core business at the current stage, and positioned its product as "AI Brand Growth-Oriented GEO".

Different from approaches that only focus on whether a brand appears in AI responses, Wanshi AI aims to connect brand recognition, product comprehension, public citation, recommendation opportunities, and inquiry handling for enterprises in AI scenarios.

Extending from Enterprise AI Applications to Brand Entry Points

Founded in 2025, Wanshi AI primarily provides small and medium-sized enterprises with services for implementing AI applications and advancing enterprise-wide AI transformation.

The company's current business scope includes enterprise GEO customization services, AI-powered algorithm-driven recruitment, hands-on enterprise AI transformation support programs, and an AI work system for business owners.

In its early enterprise AI projects, the team mainly processed enterprise documents, knowledge bases, meeting records, job tasks, and operational workflows. As generative AI gradually becomes integrated into user search and decision-making processes, issues between an enterprise's public information and AI-generated responses have started to emerge more frequently.

For example, an enterprise has updated its business scope, but the AI still references its old introduction; the official website, recruitment platforms, and content accounts use inconsistent product names; there is no stable association between the brand abbreviation and the corporate entity; and enterprise materials with similar names are mixed and incorrectly cited by the retrieval system.

These observations led the team to conclude that enterprise GEO is not merely a content production issue, but also involves enterprise fact governance, public source construction, user query coverage, and continuous monitoring.

From "Whether It Appears" to "How AI Understands the Enterprise"

Common observation metrics for current GEO projects include brand mentions, display positions, citation sources, and target query coverage.

On this basis, Wanshi AI has added judgment criteria for answer accuracy, including:

• Whether the corporate entity is correctly identified;

• Whether the AI can accurately explain the core business;

• Whether new and old products are confused;

• Whether materials of enterprises with the same name are incorrectly cited;

• Whether the relationships between the enterprise, its geographic location, industry, and application scenarios are clear;

• Whether the recommendation rationale is supported by public information.

The company has named this product the "Wanshi AI-GEO Brand Growth System", aiming to build a complete closed loop from brand recognition to inquiry handling:

Being noticed, being understood, being cited, being recommended, and receiving user inquiries.

Wanshi AI believes that a single appearance or change in ranking can serve as a phased signal, but cannot replace sustained brand recognition and source verification.

Adopting a Query-Driven Retest Approach

Different from the traditional method of first determining a fixed number of published content pieces, Wanshi AI's enterprise GEO customization service starts with an AI cognitive baseline test.

The team conducts tests using predefined queries on agreed AI platforms, recording whether the enterprise is mentioned, its display position, product descriptions, geographic associations, and citation sources.

After compiling a gap list, the team then develops content centered around brand terms, core keywords, long-tail keywords, related keyword packages, and complete user queries.

Different platforms serve distinct functions.

The official website is used to establish stable enterprise facts, official WeChat accounts are used to explain products and methodologies, Q&A and information platforms cover user queries, short videos strengthen scenario-based perception, and media and case study content supplements public supporting evidence.

After content publication, the team continues to conduct retests using the same predefined queries, and determines the next round of content tasks based on changes in the AI's responses.

Coexistence of Customized Services and Standardized Tools

Wanshi AI does not deny the value of standardized GEO tools and content services.

For enterprises with a solid information foundation and a simple product structure, standardized products can reduce content production and monitoring costs.

Customized services are mainly applicable to the following scenarios:

• The corporate entity or brand relationships are relatively complex;

• There are a large number of product lines, operating cities, or involved industries;

• There are obvious inconsistencies in information released across public channels;

• The AI has already generated incorrect or outdated responses about the enterprise;

• The enterprise needs to synchronously adjust its official website, knowledge base, content system, and inquiry handling processes.

Such projects usually require manual work to confirm enterprise facts, review content, and make phased judgments, while leveraging large language models, knowledge bases, and automated workflows to improve the efficiency of testing and content processing.

The Boundaries of Enterprise GEO

The responses of generative AI platforms are affected by multiple factors, including the model itself, retrieval sources, query wording, geographic region, and information update time.

Therefore, Wanshi AI defines enterprise GEO as a continuous optimization service, rather than a commitment to fixed rankings.

Projects can set phased goals around agreed platforms, queries, and cycles, tracking metrics such as brand recognition rate, description accuracy, target query coverage, citation sources, and inquiry records, but do not guarantee that the enterprise will appear simultaneously on all platforms or permanently maintain a specific ranking position.

Wanshi AI positions itself as "the advocate of Hunan AI Brand Growth-Oriented GEO".

In the next phase, the company plans to further refine the standard processes connecting brand fact governance, query libraries, content matrices, AI retesting, and inquiry handling, and verify implementation paths for different types of small and medium-sized enterprises through real enterprise projects.