Growth · AI Implementation · Software Development
Beiheji Tech helps enterprises grow through GEO and SEO, implement AI agents and knowledge bases, and build custom software. One accountable team, from business diagnosis through continuous improvement.
Help more customers find you
Improve brand visibility in both traditional search and AI-generated answers, connecting content, technology, and conversion into a sustainable growth system.
Best for: teams seeking more organic traffic, AI citations, and qualified leads
Put AI inside real workflows
Design AI applications around repetitive and knowledge-intensive work, connecting models with enterprise data, systems, and team collaboration.
Best for: teams reducing repetitive work while improving knowledge access and collaboration
Keep complex operations reliable
From process discovery and technical design to launch, we build enterprise software that fits the way your business works and can evolve over time.
Best for: enterprises building a new system or modernizing an existing platform
An internal ride-hailing mini program covering booking, dispatch, and trip management, integrated with an autonomous fleet scheduling system so Robotaxi works as an everyday commute option.
A paperless management platform for tank truck inspection, built from seven subsystems and hundreds of APIs covering intake, inspection, review, and report issuance, replacing the previous paper-based workflow.
A gamified H5 product that turns car owner surveys into interactive sessions, with hundreds of pages spanning multiple vehicle models and usage scenarios, improving both completion rate and response quality over standard forms.
An OKR goal management system used by tens of thousands of employees, covering goal setting, cross-level alignment, and periodic review from individuals to departments to leadership.
A bus network optimization system built on real ridership and route operations data, providing quantitative support for route adjustments, stop placement, and capacity allocation.
Optimize continuously against search visibility, AI citations, and qualified conversions.
Benchmark search performance, AI visibility, content assets, and conversion paths.
Define audiences, topic maps, technical fixes, and staged growth metrics.
Implement GEO, SEO, structured data, and high-value content.
Track indexing, rankings, AI citations, and leads, then improve based on results.
Validate a high-value use case first, then connect knowledge, tools, and systems with controlled risk.
Assess business value, data readiness, and risk to select the right starting point.
Test model quality, cost, and user experience with a focused set of real data.
Build the agent, workflow, or knowledge base with permissions and system access.
Measure accuracy, safety, and adoption while improving models and workflows.
Manage scope, quality, and milestones so business teams can see progress and own the outcome.
Define users, workflows, boundaries, and acceptance criteria before development.
Deliver product prototypes, architecture, milestones, and a risk register.
Demonstrate and accept work by milestone, incorporating real business feedback.
Complete testing, deployment, documentation, and training with ongoing support.
For teams that need clarity before committing to implementation
Assess a growth, AI, or software initiative and turn findings into a prioritized, actionable roadmap.
For well-defined initiatives that need end-to-end implementation
A dedicated team designs, builds, launches, and hands over the agreed business outcome.
For organizations needing continuous optimization and reliable support
Work toward monthly or staged goals across growth experiments, AI operations, product iterations, and system maintenance.
We focus on three areas: user growth through GEO, SEO, content strategy, and analytics; AI implementation through agents, workflow automation, enterprise knowledge bases, and RAG; and software development covering custom enterprise systems, integration, architecture, and project consulting.
SEO improves indexing, rankings, and organic traffic in traditional search engines. GEO helps generative AI systems understand, trust, and cite your brand content. They share the same foundations—technical accessibility, high-quality content, and entity authority—so planning them together usually produces a stronger result.
No. A knowledge base is useful when answers must rely on proprietary enterprise information with permissions and source traceability. For process-execution use cases, an agent with tools and workflow integration may be the better starting point.
We define data boundaries, permissions, logging, and deployment requirements during solution design. Depending on the organization, this may include private deployment, sensitive-data handling, and role-based access aligned with existing security policies.
Audits and advisory work are usually planned in weeks. An AI prototype can validate a focused use case first, while a complete software system follows milestones based on scope and integration complexity. Before kickoff, we define the timeline, deliverables, and acceptance criteria.
Enterprise initiatives vary substantially in goals, current systems, data readiness, and delivery scope. After an initial conversation, we provide the recommended approach, team investment, delivery boundaries, and cost structure before work begins.
Yes. We offer standalone growth audits, AI use-case planning, product consulting, and technical architecture. We can also modernize, extend, or maintain an existing system after reviewing its code, documentation, and operational setup.
Email us or use the WeChat official account below with your business goal, current challenge, and desired timeline. We will arrange a discovery conversation and recommend the right engagement model.
WeChat Official Account
北河纪科技
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