# Company identification use cases

Canonical page: https://datasdk.ai/use-cases

These are suggested workflows, not a list of built-in integrations. Use your own approved analytics, CRM, and research process where needed. Matches and fields vary. A company match does not identify a person or prove buying intent.

The full Data SDK API is coming soon. Platform and AI-agent workflows are planning examples. Confirm access, data delivery, usage, branding, and resale terms before building or selling a feature.

- [Build a weekly prospect research list](https://datasdk.ai/use-cases/build-a-weekly-prospect-research-list): Spend research time on visiting companies that fit your offer. [Markdown](https://datasdk.ai/use-cases/build-a-weekly-prospect-research-list.md)
- [Research companies that view pricing](https://datasdk.ai/use-cases/research-companies-that-view-pricing): Prepare better commercial questions before a legitimate conversation. [Markdown](https://datasdk.ai/use-cases/research-companies-that-view-pricing.md)
- [Check existing accounts before prospecting](https://datasdk.ai/use-cases/check-existing-accounts-before-prospecting): Avoid duplicate outreach and conflicting conversations. [Markdown](https://datasdk.ai/use-cases/check-existing-accounts-before-prospecting.md)
- [Prioritize companies in your service area](https://datasdk.ai/use-cases/prioritize-companies-in-your-service-area): Remove obvious geographic mismatches from the research queue. [Markdown](https://datasdk.ai/use-cases/prioritize-companies-in-your-service-area.md)
- [Find startups your product can serve](https://datasdk.ai/use-cases/find-startups-your-product-can-serve): Recognize smaller businesses that match your product's scope. [Markdown](https://datasdk.ai/use-cases/find-startups-your-product-can-serve.md)
- [Screen out companies you cannot support](https://datasdk.ai/use-cases/screen-out-companies-you-cannot-support): Keep sellers focused on businesses the team can realistically help. [Markdown](https://datasdk.ai/use-cases/screen-out-companies-you-cannot-support.md)
- [Prepare for a scheduled discovery call](https://datasdk.ai/use-cases/prepare-for-a-scheduled-discovery-call): Bring more relevant questions to the conversation. [Markdown](https://datasdk.ai/use-cases/prepare-for-a-scheduled-discovery-call.md)
- [Add context to an open opportunity](https://datasdk.ai/use-cases/add-context-to-an-open-opportunity): Keep research aligned with the current deal rather than starting a separate sales motion. [Markdown](https://datasdk.ai/use-cases/add-context-to-an-open-opportunity.md)
- [Route research to the right territory](https://datasdk.ai/use-cases/route-research-to-the-right-territory): Reduce duplicated effort between regional or industry teams. [Markdown](https://datasdk.ai/use-cases/route-research-to-the-right-territory.md)
- [Separate parent and subsidiary interest](https://datasdk.ai/use-cases/separate-parent-and-subsidiary-interest): Research the operating business that is most relevant to the visit. [Markdown](https://datasdk.ai/use-cases/separate-parent-and-subsidiary-interest.md)
- [Review repeat company activity](https://datasdk.ai/use-cases/review-repeat-company-activity): See whether a company deserves another research check without counting it as new each time. [Markdown](https://datasdk.ai/use-cases/review-repeat-company-activity.md)
- [Prepare an industry-specific question](https://datasdk.ai/use-cases/prepare-an-industry-specific-question): Make the next legitimate conversation more relevant to the company's work. [Markdown](https://datasdk.ai/use-cases/prepare-an-industry-specific-question.md)
- [Recheck previously disqualified accounts](https://datasdk.ai/use-cases/recheck-previously-disqualified-accounts): Reconsider an account only when new facts justify it. [Markdown](https://datasdk.ai/use-cases/recheck-previously-disqualified-accounts.md)
- [Coordinate SDR and account-executive research](https://datasdk.ai/use-cases/coordinate-sdr-and-account-executive-research): Create a clear handoff instead of parallel work. [Markdown](https://datasdk.ai/use-cases/coordinate-sdr-and-account-executive-research.md)
- [Avoid treating service providers as prospects](https://datasdk.ai/use-cases/avoid-treating-service-providers-as-prospects): Keep research lists relevant to actual selling opportunities. [Markdown](https://datasdk.ai/use-cases/avoid-treating-service-providers-as-prospects.md)
- [Choose accounts for a manual pilot](https://datasdk.ai/use-cases/choose-accounts-for-a-manual-pilot): Learn whether matches produce research your sellers can use. [Markdown](https://datasdk.ai/use-cases/choose-accounts-for-a-manual-pilot.md)
- [Find potential channel partners](https://datasdk.ai/use-cases/find-potential-channel-partners): Recognize possible distribution or service relationships. [Markdown](https://datasdk.ai/use-cases/find-potential-channel-partners.md)
- [Prepare a relevant case-study shortlist](https://datasdk.ai/use-cases/prepare-a-relevant-case-study-shortlist): Make meeting preparation more useful without guessing the visitor's identity. [Markdown](https://datasdk.ai/use-cases/prepare-a-relevant-case-study-shortlist.md)
- [Check paid-search audience fit](https://datasdk.ai/use-cases/check-paid-search-audience-fit): See whether matched businesses resemble the customers the campaign targets. [Markdown](https://datasdk.ai/use-cases/check-paid-search-audience-fit.md)
- [Review partner referral quality](https://datasdk.ai/use-cases/review-partner-referral-quality): Evaluate the business audience behind an available referral stream. [Markdown](https://datasdk.ai/use-cases/review-partner-referral-quality.md)
- [Assess an industry landing page](https://datasdk.ai/use-cases/assess-an-industry-landing-page): Learn whether the page attracts the intended kinds of businesses. [Markdown](https://datasdk.ai/use-cases/assess-an-industry-landing-page.md)
- [Compare two campaign audiences](https://datasdk.ai/use-cases/compare-two-campaign-audiences): Choose what to investigate in each campaign's audience mix. [Markdown](https://datasdk.ai/use-cases/compare-two-campaign-audiences.md)
- [Review organic content reach](https://datasdk.ai/use-cases/review-organic-content-reach): Find content that deserves a closer commercial-audience review. [Markdown](https://datasdk.ai/use-cases/review-organic-content-reach.md)
- [Audit webinar promotion traffic](https://datasdk.ai/use-cases/audit-webinar-promotion-traffic): Understand which business segments reached the promotion page. [Markdown](https://datasdk.ai/use-cases/audit-webinar-promotion-traffic.md)
- [Evaluate an event campaign](https://datasdk.ai/use-cases/evaluate-an-event-campaign): Review whether relevant businesses encountered event-related pages. [Markdown](https://datasdk.ai/use-cases/evaluate-an-event-campaign.md)
- [Check a product launch audience](https://datasdk.ai/use-cases/check-a-product-launch-audience): Separate commercial audience fit from total launch traffic. [Markdown](https://datasdk.ai/use-cases/check-a-product-launch-audience.md)
- [Review country-specific campaigns](https://datasdk.ai/use-cases/review-country-specific-campaigns): Check the geographic company mix before making campaign changes. [Markdown](https://datasdk.ai/use-cases/review-country-specific-campaigns.md)
- [Measure target-account reach](https://datasdk.ai/use-cases/measure-target-account-reach): Find evidence of overlap between available matches and that list. [Markdown](https://datasdk.ai/use-cases/measure-target-account-reach.md)
- [Review newsletter landing traffic](https://datasdk.ai/use-cases/review-newsletter-landing-traffic): Inspect which business types appear in traffic to the linked page. [Markdown](https://datasdk.ai/use-cases/review-newsletter-landing-traffic.md)
- [Identify content gaps for relevant industries](https://datasdk.ai/use-cases/identify-content-gaps-for-relevant-industries): Choose practical topics to research with your sales team. [Markdown](https://datasdk.ai/use-cases/identify-content-gaps-for-relevant-industries.md)
- [Review comparison-page audiences](https://datasdk.ai/use-cases/review-comparison-page-audiences): Understand the business mix before judging the page's value. [Markdown](https://datasdk.ai/use-cases/review-comparison-page-audiences.md)
- [Test positioning against company fit](https://datasdk.ai/use-cases/test-positioning-against-company-fit): Use company fit as one input when reviewing a messaging test. [Markdown](https://datasdk.ai/use-cases/test-positioning-against-company-fit.md)
- [Separate student and commercial research audiences](https://datasdk.ai/use-cases/separate-student-and-commercial-research-audiences): Avoid measuring every visit as a potential sale. [Markdown](https://datasdk.ai/use-cases/separate-student-and-commercial-research-audiences.md)
- [Review agency campaign reporting](https://datasdk.ai/use-cases/review-agency-campaign-reporting): Add a business-fit discussion to a campaign review. [Markdown](https://datasdk.ai/use-cases/review-agency-campaign-reporting.md)
- [Choose content for a target-account program](https://datasdk.ai/use-cases/choose-content-for-a-target-account-program): Select topics grounded in known account needs and available website context. [Markdown](https://datasdk.ai/use-cases/choose-content-for-a-target-account-program.md)
- [Review a low-volume high-value page](https://datasdk.ai/use-cases/review-a-low-volume-high-value-page): Avoid dismissing specialized content based only on visit totals. [Markdown](https://datasdk.ai/use-cases/review-a-low-volume-high-value-page.md)
- [Prepare for a customer review meeting](https://datasdk.ai/use-cases/prepare-for-a-customer-review-meeting): Bring relevant questions to the existing customer conversation. [Markdown](https://datasdk.ai/use-cases/prepare-for-a-customer-review-meeting.md)
- [Notice interest in another product line](https://datasdk.ai/use-cases/notice-interest-in-another-product-line): Find a topic worth discussing through the existing account relationship. [Markdown](https://datasdk.ai/use-cases/notice-interest-in-another-product-line.md)
- [Prepare implementation support resources](https://datasdk.ai/use-cases/prepare-implementation-support-resources): Choose relevant setup material before the meeting. [Markdown](https://datasdk.ai/use-cases/prepare-implementation-support-resources.md)
- [Check renewal discussion topics](https://datasdk.ai/use-cases/check-renewal-discussion-topics): Prepare better renewal questions without treating visits as a health score. [Markdown](https://datasdk.ai/use-cases/check-renewal-discussion-topics.md)
- [Coordinate sales and customer success](https://datasdk.ai/use-cases/coordinate-sales-and-customer-success): Keep customer conversations with the team that owns the relationship. [Markdown](https://datasdk.ai/use-cases/coordinate-sales-and-customer-success.md)
- [Review training-resource interest](https://datasdk.ai/use-cases/review-training-resource-interest): Prepare the right educational resources for an agreed discussion. [Markdown](https://datasdk.ai/use-cases/review-training-resource-interest.md)
- [Separate customer activity from acquisition reporting](https://datasdk.ai/use-cases/separate-customer-activity-from-acquisition-reporting): Keep acquisition research distinct from customer-service activity. [Markdown](https://datasdk.ai/use-cases/separate-customer-activity-from-acquisition-reporting.md)
- [Investigate a customer rebrand](https://datasdk.ai/use-cases/investigate-a-customer-rebrand): Keep the relationship connected to the correct business record. [Markdown](https://datasdk.ai/use-cases/investigate-a-customer-rebrand.md)
- [Prepare a partner account review](https://datasdk.ai/use-cases/prepare-a-partner-account-review): Bring useful enablement topics to an established partnership. [Markdown](https://datasdk.ai/use-cases/prepare-a-partner-account-review.md)
- [Review public support-content traffic](https://datasdk.ai/use-cases/review-public-support-content-traffic): Choose support documentation to discuss or improve. [Markdown](https://datasdk.ai/use-cases/review-public-support-content-traffic.md)
- [Prepare a customer workshop agenda](https://datasdk.ai/use-cases/prepare-a-customer-workshop-agenda): Use website topics as questions to confirm during preparation. [Markdown](https://datasdk.ai/use-cases/prepare-a-customer-workshop-agenda.md)
- [Avoid premature churn alerts](https://datasdk.ai/use-cases/avoid-premature-churn-alerts): Keep customer-risk decisions grounded in stronger evidence. [Markdown](https://datasdk.ai/use-cases/avoid-premature-churn-alerts.md)
- [Show clients the businesses their site reaches](https://datasdk.ai/use-cases/show-clients-the-businesses-their-site-reaches): Give clients concrete companies to evaluate rather than only aggregate counts. [Markdown](https://datasdk.ai/use-cases/show-clients-the-businesses-their-site-reaches.md)
- [Evaluate a client website redesign](https://datasdk.ai/use-cases/evaluate-a-client-website-redesign): Add company-fit context to the post-launch review. [Markdown](https://datasdk.ai/use-cases/evaluate-a-client-website-redesign.md)
- [Prepare a client prospecting workshop](https://datasdk.ai/use-cases/prepare-a-client-prospecting-workshop): Leave the workshop with a realistic shortlist and repeatable fit rules. [Markdown](https://datasdk.ai/use-cases/prepare-a-client-prospecting-workshop.md)
- [Review a niche SEO engagement](https://datasdk.ai/use-cases/review-a-niche-seo-engagement): Discuss whether content reaches the kinds of companies the client serves. [Markdown](https://datasdk.ai/use-cases/review-a-niche-seo-engagement.md)
- [Support a fractional marketing review](https://datasdk.ai/use-cases/support-a-fractional-marketing-review): Make campaign and sales discussions use the same fit criteria. [Markdown](https://datasdk.ai/use-cases/support-a-fractional-marketing-review.md)
- [Check lead-generation campaign scope](https://datasdk.ai/use-cases/check-lead-generation-campaign-scope): Set clear deliverable expectations with the client. [Markdown](https://datasdk.ai/use-cases/check-lead-generation-campaign-scope.md)
- [Create a client-specific research brief](https://datasdk.ai/use-cases/create-a-client-specific-research-brief): Deliver a compact brief the client's team can verify. [Markdown](https://datasdk.ai/use-cases/create-a-client-specific-research-brief.md)
- [Plan a white-label identification service](https://datasdk.ai/use-cases/plan-a-white-label-identification-service): Discuss a service clients can understand without an extra brand handoff. [Markdown](https://datasdk.ai/use-cases/plan-a-white-label-identification-service.md)
- [Keep client reporting boundaries clear](https://datasdk.ai/use-cases/keep-client-reporting-boundaries-clear): Protect client separation while making reports easier to review. [Markdown](https://datasdk.ai/use-cases/keep-client-reporting-boundaries-clear.md)
- [Review an agency's own inbound audience](https://datasdk.ai/use-cases/review-an-agency-s-own-inbound-audience): Focus new-business research on relevant organizations. [Markdown](https://datasdk.ai/use-cases/review-an-agency-s-own-inbound-audience.md)
- [Prepare a board-level marketing summary](https://datasdk.ai/use-cases/prepare-a-board-level-marketing-summary): Translate company data into a defensible marketing discussion. [Markdown](https://datasdk.ai/use-cases/prepare-a-board-level-marketing-summary.md)
- [Scope a client identification trial](https://datasdk.ai/use-cases/scope-a-client-identification-trial): Agree what a useful trial would demonstrate. [Markdown](https://datasdk.ai/use-cases/scope-a-client-identification-trial.md)
- [Research manufacturers for industrial software](https://datasdk.ai/use-cases/research-manufacturers-for-industrial-software): Create a research list based on actual operating fit. [Markdown](https://datasdk.ai/use-cases/research-manufacturers-for-industrial-software.md)
- [Screen employers for payroll services](https://datasdk.ai/use-cases/screen-employers-for-payroll-services): Avoid researching employers outside the service's practical scope. [Markdown](https://datasdk.ai/use-cases/screen-employers-for-payroll-services.md)
- [Find relevant buyers for logistics services](https://datasdk.ai/use-cases/find-relevant-buyers-for-logistics-services): Focus research on shippers your operation may be able to serve. [Markdown](https://datasdk.ai/use-cases/find-relevant-buyers-for-logistics-services.md)
- [Research potential wholesale customers](https://datasdk.ai/use-cases/research-potential-wholesale-customers): Build a shortlist of retailers or resellers that fit the range. [Markdown](https://datasdk.ai/use-cases/research-potential-wholesale-customers.md)
- [Identify research targets for managed IT](https://datasdk.ai/use-cases/identify-research-targets-for-managed-it): Find businesses worth a service-fit review. [Markdown](https://datasdk.ai/use-cases/identify-research-targets-for-managed-it.md)
- [Review audience fit for cybersecurity services](https://datasdk.ai/use-cases/review-audience-fit-for-cybersecurity-services): Choose businesses for responsible fit research. [Markdown](https://datasdk.ai/use-cases/review-audience-fit-for-cybersecurity-services.md)
- [Research employers for recruitment services](https://datasdk.ai/use-cases/research-employers-for-recruitment-services): Use a matched business as the starting point for hiring research. [Markdown](https://datasdk.ai/use-cases/research-employers-for-recruitment-services.md)
- [Find relevant firms for accounting services](https://datasdk.ai/use-cases/find-relevant-firms-for-accounting-services): Research companies that fit the practice's delivery model. [Markdown](https://datasdk.ai/use-cases/find-relevant-firms-for-accounting-services.md)
- [Research commercial cleaning prospects](https://datasdk.ai/use-cases/research-commercial-cleaning-prospects): Focus research on organizations with relevant sites in reach. [Markdown](https://datasdk.ai/use-cases/research-commercial-cleaning-prospects.md)
- [Review buyers for employee training](https://datasdk.ai/use-cases/review-buyers-for-employee-training): Prepare relevant training conversations instead of generic pitches. [Markdown](https://datasdk.ai/use-cases/review-buyers-for-employee-training.md)
- [Research agencies for design software](https://datasdk.ai/use-cases/research-agencies-for-design-software): Find businesses whose published work suggests a relevant product fit. [Markdown](https://datasdk.ai/use-cases/research-agencies-for-design-software.md)
- [Find relevant firms for procurement software](https://datasdk.ai/use-cases/find-relevant-firms-for-procurement-software): Choose research targets based on practical process fit. [Markdown](https://datasdk.ai/use-cases/find-relevant-firms-for-procurement-software.md)
- [Review audience fit for commercial insurance](https://datasdk.ai/use-cases/review-audience-fit-for-commercial-insurance): Screen business relevance before any needs assessment. [Markdown](https://datasdk.ai/use-cases/review-audience-fit-for-commercial-insurance.md)
- [Research organizations for coworking sales](https://datasdk.ai/use-cases/research-organizations-for-coworking-sales): Identify businesses worth a location-fit review. [Markdown](https://datasdk.ai/use-cases/research-organizations-for-coworking-sales.md)
- [Find distributors for a manufacturer](https://datasdk.ai/use-cases/find-distributors-for-a-manufacturer): Identify partnership research targets from relevant company visits. [Markdown](https://datasdk.ai/use-cases/find-distributors-for-a-manufacturer.md)
- [Research companies for translation services](https://datasdk.ai/use-cases/research-companies-for-translation-services): Look for publicly supported reasons a business might need language services. [Markdown](https://datasdk.ai/use-cases/research-companies-for-translation-services.md)
- [Review prospects for B2B payment software](https://datasdk.ai/use-cases/review-prospects-for-b2b-payment-software): Research whether the offer fits how the company serves other businesses. [Markdown](https://datasdk.ai/use-cases/review-prospects-for-b2b-payment-software.md)
- [Research software companies for developer tools](https://datasdk.ai/use-cases/research-software-companies-for-developer-tools): Find companies worth technical-fit research without guessing their stack. [Markdown](https://datasdk.ai/use-cases/research-software-companies-for-developer-tools.md)
- [Add company identification to a CRM product](https://datasdk.ai/use-cases/add-company-identification-to-a-crm-product): Plan a feature that puts company context beside the account record. [Markdown](https://datasdk.ai/use-cases/add-company-identification-to-a-crm-product.md)
- [Add a branded visitor view to an agency portal](https://datasdk.ai/use-cases/add-a-branded-visitor-view-to-an-agency-portal): Plan a single branded place for clients to review visiting businesses. [Markdown](https://datasdk.ai/use-cases/add-a-branded-visitor-view-to-an-agency-portal.md)
- [Build a company-fit review queue](https://datasdk.ai/use-cases/build-a-company-fit-review-queue): Plan a workflow that turns records into explicit accept-or-skip decisions. [Markdown](https://datasdk.ai/use-cases/build-a-company-fit-review-queue.md)
- [Add company context to a marketing dashboard](https://datasdk.ai/use-cases/add-company-context-to-a-marketing-dashboard): Plan a view that explains which company segments appear in the matched sample. [Markdown](https://datasdk.ai/use-cases/add-company-context-to-a-marketing-dashboard.md)
- [Offer identification in a website-builder product](https://datasdk.ai/use-cases/offer-identification-in-a-website-builder-product): Plan identification as a clearly explained optional website capability. [Markdown](https://datasdk.ai/use-cases/offer-identification-in-a-website-builder-product.md)
- [Build a tenant-safe company lookup service](https://datasdk.ai/use-cases/build-a-tenant-safe-company-lookup-service): Plan company lookup around authorized customer contexts. [Markdown](https://datasdk.ai/use-cases/build-a-tenant-safe-company-lookup-service.md)
- [Design a graceful no-match experience](https://datasdk.ai/use-cases/design-a-graceful-no-match-experience): Avoid misleading users with guessed names or stale company cards. [Markdown](https://datasdk.ai/use-cases/design-a-graceful-no-match-experience.md)
- [Plan a retry-safe enrichment workflow](https://datasdk.ai/use-cases/plan-a-retry-safe-enrichment-workflow): Design safer retries before connecting company data to actions. [Markdown](https://datasdk.ai/use-cases/plan-a-retry-safe-enrichment-workflow.md)
- [Design company data permissions](https://datasdk.ai/use-cases/design-company-data-permissions): Plan access around customer roles and actual workflow needs. [Markdown](https://datasdk.ai/use-cases/design-company-data-permissions.md)
- [Plan a white-label reseller package](https://datasdk.ai/use-cases/plan-a-white-label-reseller-package): Define a product offer whose scope can be confirmed before sale. [Markdown](https://datasdk.ai/use-cases/plan-a-white-label-reseller-package.md)
- [Add a company research link to product records](https://datasdk.ai/use-cases/add-a-company-research-link-to-product-records): Plan a small feature that helps users verify a business themselves. [Markdown](https://datasdk.ai/use-cases/add-a-company-research-link-to-product-records.md)
- [Design a bounded company-data cache](https://datasdk.ai/use-cases/design-a-bounded-company-data-cache): Plan faster repeated work while preserving customer boundaries. [Markdown](https://datasdk.ai/use-cases/design-a-bounded-company-data-cache.md)
- [Connect identification to a customer-defined workflow](https://datasdk.ai/use-cases/connect-identification-to-a-customer-defined-workflow): Plan explicit user control over research and review steps. [Markdown](https://datasdk.ai/use-cases/connect-identification-to-a-customer-defined-workflow.md)
- [Build a company-record quality panel](https://datasdk.ai/use-cases/build-a-company-record-quality-panel): Plan a record view that makes missing information easy to handle. [Markdown](https://datasdk.ai/use-cases/build-a-company-record-quality-panel.md)
- [Plan an export for approved company research](https://datasdk.ai/use-cases/plan-an-export-for-approved-company-research): Design an export with useful fields and clear ownership. [Markdown](https://datasdk.ai/use-cases/plan-an-export-for-approved-company-research.md)
- [Prepare an AI company research brief](https://datasdk.ai/use-cases/prepare-an-ai-company-research-brief): Plan concise briefs tied to a matched company domain. [Markdown](https://datasdk.ai/use-cases/prepare-an-ai-company-research-brief.md)
- [Classify company fit with evidence](https://datasdk.ai/use-cases/classify-company-fit-with-evidence): Plan a reviewable explanation of how a company meets user-defined criteria. [Markdown](https://datasdk.ai/use-cases/classify-company-fit-with-evidence.md)
- [Suggest questions for a discovery call](https://datasdk.ai/use-cases/suggest-questions-for-a-discovery-call): Plan questions grounded in the company's business rather than guesses about the visitor. [Markdown](https://datasdk.ai/use-cases/suggest-questions-for-a-discovery-call.md)
- [Summarize a company's public product](https://datasdk.ai/use-cases/summarize-a-company-s-public-product): Plan a source-linked product summary that saves manual reading. [Markdown](https://datasdk.ai/use-cases/summarize-a-company-s-public-product.md)
- [Draft an internal account handoff](https://datasdk.ai/use-cases/draft-an-internal-account-handoff): Plan a handoff that explains fit and the recommended review owner. [Markdown](https://datasdk.ai/use-cases/draft-an-internal-account-handoff.md)
- [Check a generated brief for unsupported claims](https://datasdk.ai/use-cases/check-a-generated-brief-for-unsupported-claims): Plan a verification pass before people rely on the brief. [Markdown](https://datasdk.ai/use-cases/check-a-generated-brief-for-unsupported-claims.md)
- [Research a possible parent-company relationship](https://datasdk.ai/use-cases/research-a-possible-parent-company-relationship): Plan an evidence-backed relationship check before combining accounts. [Markdown](https://datasdk.ai/use-cases/research-a-possible-parent-company-relationship.md)
- [Prepare industry-specific account context](https://datasdk.ai/use-cases/prepare-industry-specific-account-context): Plan a short explanation of the company's business model and relevant questions. [Markdown](https://datasdk.ai/use-cases/prepare-industry-specific-account-context.md)
- [Prioritize a human research queue](https://datasdk.ai/use-cases/prioritize-a-human-research-queue): Plan transparent sorting rules instead of opaque intent claims. [Markdown](https://datasdk.ai/use-cases/prioritize-a-human-research-queue.md)
- [Create a company-data quality checklist](https://datasdk.ai/use-cases/create-a-company-data-quality-checklist): Plan checks that stop incomplete records from triggering unreliable actions. [Markdown](https://datasdk.ai/use-cases/create-a-company-data-quality-checklist.md)
- [Generate a source-linked weekly research digest](https://datasdk.ai/use-cases/generate-a-source-linked-weekly-research-digest): Plan a digest that highlights useful research without repeating every visit. [Markdown](https://datasdk.ai/use-cases/generate-a-source-linked-weekly-research-digest.md)
- [Test an agent against difficult company records](https://datasdk.ai/use-cases/test-an-agent-against-difficult-company-records): Plan an evaluation that catches invented facts and unsafe actions. [Markdown](https://datasdk.ai/use-cases/test-an-agent-against-difficult-company-records.md)