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分类: 数据与分析无需 API Key

商业模式查询总结-企查查

Investigate public business intelligence for AI training, consulting, events, competitions, or creator-educator operators. Use when asked to research people, companies, social/media presence, courses, government or enterprise cooperation, contracts/procurement, required licenses, or to turn findings into a practical market-entry/company-registration roadmap.

person作者: user_1ca212aehubcommunity

AI Business OSINT

Use this skill to run a public-source business investigation on AI training/consulting/event operators and convert the findings into an actionable business playbook.

Operating Boundaries

  • Use public, lawful, attributable sources: official company registries, government pages, procurement pages, universities, associations, enterprise sites, course platforms, public social profiles, and media reports.
  • Do not collect or publish private phone numbers, ID numbers, private WeChat IDs, non-public group QR codes, home addresses, cookies, or account/session secrets.
  • Separate verified facts, source-supported inferences, and open questions.
  • Browse current sources for laws, regulations, procurement rules, prices, dates, corporate data, and public positions.
  • Prefer primary sources; use aggregators only as leads unless the user explicitly provides a logged-in business database page.
  • When using logged-in Chrome or other user sessions, keep work read-only unless the user explicitly requests an action.

Workflow

  1. Scope the target

    • List target names, aliases, Chinese/English names, brands, company names, account handles, course names, and likely cities.
    • Define the user goal: pure OSINT, competitor mapping, company deep dive, cooperation timeline, or personal entry strategy.
    • Set exclusion rules for同名噪声 and private data.
  2. Build the source map

    • Search official/government sources first for companies, licenses, procurement, events, and policy rules.
    • Search universities, associations, enterprise sites, course platforms, and media for public activities.
    • Search public social platforms only for stable account pages, bios, article/video titles, and business-facing contact surfaces.
    • Use business databases such as 企查查/天眼查 only to verify corporate closure: legal representative, shareholders, registered capital, paid-in capital, address, business scope, risk, trademarks, tenders, changes, and related entities.
  3. Close identity loops

    • Treat a company as belonging to a person only when at least one strong bridge exists: legal representative, shareholder, executive role, official company page, verified profile, repeated official event bio, trademark/brand linkage, or signed procurement result.
    • Do not merge same-name companies into the target without a bridge.
    • Mark conflicting sources explicitly and avoid overclaiming control.
  4. Extract business model

    • Identify whether the operator is company/IP-driven, platform/mentor-driven, institution-backed, content/community-driven, product/SaaS-driven, or procurement-driven.
    • Capture product lines: executive briefings, enterprise training, public courses, camps, competitions, AI agent implementation, consulting retainers, certification programs, or community memberships.
    • Record channels: universities, business schools, government departments, industry associations, unions, parks/incubators, state-owned enterprises, private enterprises, public social accounts, and private communities when publicly disclosed.
  5. Create timelines

    • Build chronological tables for company changes, trademarks, public activities, courses, procurement/tenders, government cooperation, enterprise cooperation, and major media appearances.
    • Include exact dates when available; use month/year only when exact dates are not public.
    • Distinguish activity reports from signed contracts and procurement awards.
  6. Assess compliance

    • Classify each activity: ordinary enterprise consulting/training, vocational training, certificate issuance, government procurement, large public event, livestream/online course, AI product/platform, advertising/claims, data handling.
    • For each class, check current official rules and write practical implications.
    • Avoid legal conclusions beyond available sources; recommend local lawyer/accountant confirmation for execution.
  7. Turn findings into strategy

    • Derive reusable tactics from the targets: positioning, entity setup, product packaging, channel strategy, proof assets, procurement readiness, pricing logic, and risk controls.
    • For a from-zero user, produce a concrete sequence from company registration through first pilots, supplier onboarding, partnerships, and scale-up.

Deliverables

Choose the format that matches the request:

  • Public OSINT brief: identity, accounts, courses, events, social footprint, confidence levels.
  • Company deep dive: corporate entities, shareholders, legal representative, capital, scope, risks, IP, tenders, related companies.
  • Cooperation timeline: government/enterprise/university/association activities and contracts by date.
  • Market-entry playbook: company registration, business scope, tax/accounting, qualifications, product packages, go-to-market, procurement readiness, documents, risks.
  • Evidence matrix: claim, source, source type, confidence, next verification step.

Load references/research-checklist.md when producing a full report or playbook.

Report Standards

  • Put the strongest conclusion first, then evidence and caveats.
  • Use tables for entity data, timelines, product packages, compliance decision trees, and action plans.
  • Include source links, especially for official rules and public activity pages.
  • Use confidence labels when information is incomplete: high, medium, low, unverified.
  • Call out “not found” findings when meaningful, such as no closed-loop company for a public trainer.
  • Keep private-data boundaries visible in the report.