Revenue teams juggle too many tools. Your CRM talks to your enrichment provider. Your enrichment provider talks to your intent system. Your intent system talks to your outbound sequencer. Somewhere along the way, data gets stale, and profiles go missing. Your team spends hours stitching it all together.

Eight products claim they can fix this with full GTM data orchestration, connecting your stack, enriching records, and triggering actions automatically.

We compare eight of them across five criteria: data source coverage, workflow automation, integration depth, data freshness, and niche talent discovery.

TLDR:

• Some products rely on static databases; others run live web research.

• Real-time crawling expands coverage beyond commercial databases such as LinkedIn and ZoomInfo.

• Workflow automation varies from API-only to visual builders.

• Sixtyfour focuses on live, citation-backed research across mainstream and niche sources.

What is GTM data orchestration?

GTM data orchestration links your sales and marketing tools, fills in missing data, and triggers actions automatically. Data orchestration runs workflows on autopilot. Real-time decisions flow from first touch to closed deal.

Basic enrichment adds an email or job title. Orchestration takes that data and acts on it. It updates your CRM. It scores the lead. It fires off a sequence.

A simple integration moves data from tool A to tool B. Orchestration does more. It watches for signals. Someone changes jobs. A company raises funding. A prospect adopts your competitor's tool. The system responds automatically with outreach, lead routing, or updated scores.

How we ranked these solutions

We focus on sourcing niche and technical personas, not high-volume mainstream B2B enrichment. We tested each product against five criteria. All claims reflect publicly documented features and observable product capabilities.

If you need broad contact coverage at scale, you'll weigh these factors differently.

Five criteria guide the analysis. First is data source coverage: whether a provider conducts real-time web research or relies primarily on pre-scraped databases. Next is workflow automation. It's the ability to build multi-step enrichment pipelines that automatically trigger actions based on results. Integration depth also matters: native CRM connections, API access, and webhook support for routing and synchronization.

Data freshness is another factor that distinguishes between systems that generate research on demand and those that serve records updated on a fixed schedule. The final consideration is the use case range, including whether a solution can identify specialized professionals outside LinkedIn and enrich beyond standard firmographic or contact fields.

All comparisons reflect publicly documented capabilities and vendor-provided information.

Best GTM data orchestration platform: Sixtyfour

Sixtyfour conducts on-demand web investigations for each query instead of relying solely on a precompiled database. It deploys AI research agents that crawl sources such as LinkedIn, GitHub, Twitter, Google Scholar, state licensing databases, and other specialized sites to assemble profiles with confidence scores and source citations. The model focuses on live, citation-backed research across both mainstream and niche professional networks. The system includes workflow automation and CRM integrations, extending research results into downstream activation processes.

Because each enrichment involves real-time investigation, turnaround time is typically several minutes instead of instant API responses. Pricing reflects per-enrichment research costs instead of bulk access to a static dataset, with expanded field depth and documented sourcing for each record.

Clay

Clay consolidates more than 50 data providers into a spreadsheet-style interface. It supports multi-step enrichment workflows with waterfall logic that cascades requests across vendors until data is found. The flexibility supports highly customized outbound and enrichment processes built from multiple third-party sources, with granular control over vendor selection and workflow design. Integration occurs through APIs and connected enrichment services instead of native research infrastructure. Data freshness depends on the update cycles of the underlying providers, and use case flexibility reflects how workflows are configured within each implementation.

Because Clay aggregates third-party data sources, overall data quality depends on the providers connected to the workflow. Advanced configurations may require ongoing setup and vendor management. Total cost typically includes both Clay and the underlying enrichment subscriptions.

People Data Labs

People Data Labs provides API access to a large, structured dataset of person and company profiles sourced from public web data, licensed data, and partner data. It supports high-volume enrichment, matching, and search workflows through SQL-style and Elasticsearch query interfaces. The service integrates programmatically through APIs instead of offering a native visual workflow builder or embedded CRM automation layer. It provides predictable, programmatic enrichment at scale across standardized fields.

Because the dataset is pre-compiled and periodically updated, data freshness depends on refresh cycles instead of on-demand research. The product provides standardized professional records instead of real-time investigative web crawling.

Exa

Exa provides semantic search and web crawling through an API designed for AI-driven applications. It retrieves contextually relevant web content programmatically and supports flexible query construction for agent-based systems. Integration occurs at the API level, with downstream systems responsible for structuring enrichment or workflow logic.

Because Exa functions as a search and retrieval layer, it does not natively provide structured person enrichment, verified email discovery, GTM workflow automation, or built-in CRM integrations. Output depends on query design and downstream processing, not preformatted enrichment records.

Crustdata

Crustdata provides real-time company and people data via API, drawing from sources such as LinkedIn, SEC filings, funding announcements, and web traffic signals. It supports webhook triggers for events such as job changes and funding rounds, supporting automated downstream workflows. Integration occurs through APIs and event-based delivery instead of visual workflow builders.

Because coverage centers primarily on mainstream professional and corporate sources, visibility outside those networks is more limited. It does not include a visual workflow builder, and enrichment depth varies for individuals whose primary presence appears in repositories such as GitHub, academic publications, licensing databases, or creator systems.

Unify

Unify combines intent signals from more than 10 sources with automated prospecting workflows and email sequencing. It integrates intent-based triggers with outbound execution, supporting multi-touch engagement tied to account activity. The system includes built-in workflow automation and usage-based integrations aligned with revenue operations. This approach focuses on activation and sequencing applied to structured enrichment data.

Because the solution relies on intent-driven outbound workflows, data sourcing focuses primarily on commercial and professional datasets as opposed to exploratory web investigation. Pricing includes a monthly minimum, defined credit allocations, and usage limits, reflecting its execution-focused revenue system.

MixRank

MixRank provides sales intelligence on mobile applications, website technology stacks, and firmographic data, with frequent refreshes across a large index of websites and SDK signals. It delivers structured datasets and monitoring capabilities for technology visibility and competitive analysis. Integration occurs through data feeds and exports, not embedded workflow automation or CRM orchestration features. Data freshness reflects the monitoring cadence, and use cases focus on technology tracking and market analysis, with less emphasis on person-level enrichment or specialized professional discovery. The service focuses on raw data feeds and analytical visibility into digital footprints.

Because MixRank focuses on technographic and app intelligence, it does not include a visual workflow builder or orchestration layer for automated enrichment and activation. Access is delivered through data feeds and structured exports instead of a self-service research or workflow interface, and public pricing details are limited.

Juicebox

Juicebox provides firmographic and technographic enrichment, along with buyer-intent signals, to support account identification and targeting. It combines company-level data with engagement indicators in a unified interface designed for account-based outreach workflows. Integration focuses on standard enrichment and account workflows instead of custom orchestration layers. Research depth focuses on mainstream commercial sources, with limited real-time web investigation or coverage of specialized professional networks.

Because the system uses standardized commercial datasets, coverage focuses on mainstream professional records instead of exploratory web searches across specialized networks. Public documentation of the underlying data sources is limited, and the product lacks real-time crawling and advanced custom workflow automation.

Feature Comparison Table

Sixtyfour in Context

Static databases miss most of the people you need. Pre-scraped LinkedIn records don't include PhD researchers, GitHub contributors, or licensed professionals operating outside traditional networks. Your competition uses the same stale datasets. You're all chasing the same profiles.

Sixtyfour runs live web investigations for every query. We crawl GitHub, academic directories, licensing boards, and social profiles in real time. You get citation-backed results with 100 custom fields per profile. $0.10 per enrichment. No recycled data.

Final thoughts on finding the right data orchestration solution

Many GTM tools recycle the same databases. You're all fishing from the same pool.

Computer vision PhDs? Missed. Topology experts? Not in there. Licensed professionals? Good luck. Static databases can't find people who don't live on LinkedIn.

Real-time web crawling changes that. Sixtyfour crawls GitHub, academic directories, licensing boards, and creator networks live. Every query gets fresh results with citations. 100 custom fields per profile. Workflows run themselves.

Your prospects aren't waiting on LinkedIn. Start finding them now.

FAQ

How do I choose the right tool?

First, figure out whether you need static lookups or live research for niche professionals. If you're looking to find mainstream B2B contacts at scale, Clay or People Data Labs are good options. But if you need to source computer vision PhDs, topology experts, or professionals outside LinkedIn, you need real-time web crawling, as Sixtyfour offers.

Which solution works for non-technical teams?

Clay and Unify have visual builders with no coding required. Sixtyfour has both a visual interface and a conversational AI agent. Describe what you need in plain English. It builds the workflow. No API knowledge needed.

Can I find GitHub contributors and academics?

Many tools only check LinkedIn. Sixtyfour crawls GitHub, Google Scholar, arXiv, and academic directories. Find people by their code contributions or research papers. Every result includes confidence scores and source citations.

How does pricing compare?

Pre-scraped profiles cost $0.01- $0.05 per record. Sixtyfour charges $0.10 for live research with 100+ custom fields. Clay pricing depends on which vendor credits you stack. Real-time crawling costs more per record, but finds profiles that static databases miss entirely.

When should I switch tools?

Switch if you're manually chaining tools, spending 10+ hours weekly on data cleanup, or missing profiles outside LinkedIn. Finding under 40% of your target personas? Paying for multiple enrichment tools that still leave gaps? You need automation and specialized source crawling.