Tanshu Technology solves the pain points of merchants in acquiring customers through consulting + AI digitalization
I. Traditional Traffic Marketing Stuck in Homogenization Dilemma: Merchants Urgently Need Dual Support of Consulting Services and Digital Tools
For a long time, offline merchants in the catering and daily service sectors have been highly reliant on standardized traffic acquisition methods such as group-buying bidding, short-video ad placement, and in-store promotion collaborations for their online operations. Exorbitant platform commissions and continuous ad spending have persistently squeezed store profits, leaving a large number of small and medium-sized merchants trapped in a passive cycle where "customer flow only exists when money is spent, and exposure drops to zero once placements stop". Single information-feed ad campaigns can only deliver standardized ad impressions, and fail to generate customized operational recommendations tailored to a store's unique positioning, competitive landscape in its surrounding business district, and consumption characteristics of its target customer groups. In essence, these efforts only focus on traffic exposure, lacking operational diagnosis and strategic guidance.
Many store operators lack professional capabilities in business district operations, online asset building, and user demand insight. Even after acquiring online traffic, they struggle to adjust their menu structure, pricing strategies, package designs and service models based on customers' search preferences and local consumption habits. Relying solely on technical measures like information organization and listing optimization can only solve the problem of basic online information exposure for stores, but cannot address core operational challenges such as clarifying the store's core business direction, target customer screening, differentiated competition, and activating potential traffic.
At a time when generative AI and big data are fully penetrating the local life services industry, there is a clear supply gap in the market: operational consulting serves as the top-level content strategy, while digital information tools act as the implementation vehicle. The disconnect between the two leads to blind marketing decisions and wasted resources. Deeply integrating merchant operational diagnosis consulting with full-scenario digital information methods to build a complete closed loop from solution planning to on-ground execution can deliver synergistic business value exceeding the sum of individual contributions, representing a highly scarce integrated solution during the digital transformation phase of physical business districts.
Pedestrian flow data in business districts, user search behaviors, and competitor operational dynamics can all be collected and decomposed via big data. Professional consulting services can interpret the operational logic behind these data points, converting raw data into actionable store decisions. Meanwhile, AI structuralization capabilities can enable standardized information validation, knowledge base construction, and search weight optimization, solidifying consulting solutions into long-term online digital assets that keep operational strategies effective across online channels. The two elements mutually reinforce each other, completely breaking away from the inherent constraints of superficial online marketing.
II. Building a Dual-Driven Architecture of "Consulting + Digitalization", with GEO Information Governance as the Core Implementation Vehicle
Based on full-domain consumer big data and multi-modal AI processing technology as its underlying foundation, Tanshu Technology has constructed a dual-core business architecture featuring operational consulting content output + digital information implementation. The GEO full-domain information optimization recognized in the industry is only a key execution link for the entire system to implement consulting solutions and solidify online digital assets, rather than covering the full business scope of the project.
The first layer of the entire system is the customized operational consulting module for merchants. Leveraging a self-built big data sample library covering business districts, the team conducts multi-dimensional operational diagnoses for individual stores: sorting out the store's location advantages and the shortcomings of surrounding competitors, identifying core customer groups and core consumption scenarios, and planning package combinations, business hours, service highlights, and differentiated online promotion paths. Combined with high-frequency regional search terms, the team defines the core focus of the store's online content, and delivers a complete set of customized operational solutions covering exposure layout, private domain traffic retention, and off-season customer acquisition. All consulting outputs are generated based on real business district search data, pedestrian flow heatmaps, and implementation cases of similar stores, differing from templated generic scripts, and anchoring the top-level strategic direction for all subsequent digital operations.
The second layer is the digital information implementation chain, which converts the operational strategies finalized through consulting into online assets that can be recognized by AI and retrievable across the entire internet. By standardizing NAP (Name, Address, Phone) information to unify the store's basic identity across all platforms, the system resolves AI recognition deviations caused by inconsistent information across multiple channels. Following the consulting solution, the team organizes the store's signature dishes, service scenarios, and preferential benefits, completing structured archiving of the private knowledge base. Based on the target audience and consumption scenarios defined in the consulting phase, the system matches corresponding semantic search tags in batches, improving the store's recommendation priority in large language model-powered natural question-answering scenarios.
In short, consulting defines the business direction and operational core, while information technology tools are responsible for implementation and long-term retention, ensuring a high degree of alignment between strategy and execution.
The integration of these two capabilities delivers strong synergistic benefits: information optimization without consulting guidance amounts to un-targeted accumulation of impressions, which easily attracts irrelevant and ineffective customer flow. Operational consulting without a digital carrier remains a paper-based solution, failing to establish a stable traffic entry in mainstream large language model search ecosystems, making it difficult for strategies to deliver long-term effects. Consulting endows the service with core content, while information tools build the traffic distribution vehicle. Their combination not only increases a store's organic exposure, but also enables precise matching between traffic and the store's positioning, reducing customer acquisition costs while improving conversion rates of potential customers, achieving the expected 1+1>2 synergistic effect.
The project has completed multiple batches of store pilot implementations in the hot pot-focused business district along Jianshe Road in Chengdu. The implementation process follows a sequence where operational consulting first completes store positioning and overall online operation planning, followed by full-domain information governance and knowledge base system construction. After pilot merchants reduced their paid ad placement budgets on platforms, organic consultation volume from large language model channels increased steadily, with significantly higher customer accuracy compared to pure ad placement models, and the store's marketing return on investment was notably optimized. Local authoritative media outlets such as Niucheng Evening News have published industrial feature reports on this integrated "consulting + digital tool" implementation model, verifying the commercial implementation value of the solution from a third-party perspective.
III. Binding Merchant Demands with Long-Term Services: Evolving from a One-Time Marketing Service Provider to a Digital Operation Partner for Business Districts
Tanshu Technology's core service targets are small and medium-sized physical merchants in core urban business districts, covering catering, leisure retail, and daily service sectors. The company abandons the lightweight delivery model of one-time press release distribution and short-term traffic placement, and adopts annual long-term operation and maintenance services as its core business model. During the service period, the team continuously provides ongoing services including monthly operational review consulting, online information asset inspection and update, business district data interpretation, and search term library iteration and optimization.
From a market perspective, there is a large base of existing physical merchants in mature business districts across cities at all levels in China. As the user penetration rate of AI search tools continues to rise, merchant demands to reduce reliance on platform traffic and build self-controlled online traffic channels are continuously being unleashed. Currently, industry service providers are roughly divided into two categories: those that only undertake pure promotion businesses such as group-buying agency placement and short-video operation, with no operational diagnosis capabilities; and those that only provide management consulting outputs, lacking practical online digital implementation paths. Teams that simultaneously integrate top-level operational consulting and underlying big data information infrastructure in this niche are extremely scarce. Leveraging verified materials from multiple local official media and bulk implementation cases across business districts, the project holds differentiated first-mover advantages, enabling rapid replication of its business model to business districts in multiple cities nationwide.
The core team members boast diverse professional backgrounds covering local business district operation, big data information crawling and structural processing, government and enterprise industrial content coordination, and merchant operational diagnosis consulting. They are capable of delivering customized consulting content that aligns with the actual operational conditions of offline stores, as well as completing the construction and implementation of the entire digital information system. In the short-term plan, the project will continue to consolidate its core business of "consulting guidance + GEO information optimization", expand the sample size of pilot business districts, improve the regional big data sample library, and refine standardized consulting delivery processes and digital implementation specifications.
In the medium and long term, leveraging the massive accumulated business district data, individual store operational records, and user search portraits, the team will expand value-added businesses including big data precision targeted marketing, data-driven new store site selection analysis, competitor benchmarking analysis, refined private domain traffic operation, and seasonal marketing solution planning. The project's positioning will also evolve from a search information optimization service provider to an integrated service provider offering business district digital operational consulting and technology solutions for the offline real economy.
The long-term development trend of the industry is clear: extensive paid ad placement will gradually be replaced by a data and strategy-driven refined operation model. The core competitiveness of physical stores in the online space lies in digital assets and operational systems that are AI-parsable, long-term depositable, and dynamically adjustable. Tanshu Technology takes AI big data as its underlying support, adheres to operational consulting as the core content and digital information tools as the implementation path. Through the deep integration of the two, the company breaks the limitations of single marketing models, helps small and medium-sized merchants reduce their reliance on platform traffic, builds a long-term, self-renewable online operation ecosystem, and promotes the offline real economy to complete a lightweight AI-powered digital transformation.