We Studied the GTM Tech Stacks of 63 Fastest-Growing B2B Companies. Zero Use an Off-the-Shelf AI SDR.
A recent analysis by Brendan Short at The Signal Club broke down the go-to-market tech stacks of the 63 fastest-growing private B2B companies — Stripe, Anthropic, Databricks, Canva, Rippling, Ramp, Deel, OpenAI, and more — across 60 tools and 21 categories.
The headline that should keep every AI SDR vendor awake at night: zero of these companies use an off-the-shelf AI SDR product. Not 11x. Not Artisan. Not AiSDR. Zero.
The companies with the most sophisticated go-to-market operations on the planet looked at the AI SDR category and said "no thanks." That is not a coincidence. It is a signal.
The Default Stack Hasn't Changed — But the Intelligence Layer Has
The "default stack" across these 63 companies looks familiar:
| Tool | Adoption |
|---|---|
| Salesforce | 100% |
| HubSpot | 95% |
| Gong | 84% |
| dbt Labs | 84% |
| Snowflake | 79% |
| ZoomInfo | 73% |
| Outreach | 71% |
| Clay | 65% |
| Sales Navigator | 57% |
| Zapier | 54% |
If you squint, this looks like what it did five years ago. Salesforce, HubSpot, Gong, Outreach, ZoomInfo — the old guard is still there.
But the interesting part is what is growing underneath. Clay at 65% adoption has crossed from "that interesting table thing" into core infrastructure. dbt and Snowflake — data engineering tools — appear in more stacks than traditional sales tools. The companies running the most sophisticated GTM motions are the same ones that invested early in data infrastructure, not sales automation.
That tells you where the game is heading.
The Data Layer Is Eating GTM
Here is the finding that most people will skip past: dbt Labs (84%) and Snowflake (79%) are nearly as common as Gong (84%).
These are not sales tools. They are data engineering tools. Their near-universal adoption means the fastest-growing B2B companies are treating go-to-market as a data problem, not a sales problem.
They are building pipelines that unify product usage data, website behavior, CRM records, and third-party intent signals into a single enriched view — and then acting on that unified view with precision. They are not buying a tool that sends emails on autopilot and hoping for the best.
This is the fundamental shift. The companies winning in B2B right now are the ones that can answer "who should we talk to, and why, right now?" with data, not instinct.
Clay Changed the Game — But It Is Not the Whole Answer
Clay's jump to 65% adoption is remarkable. Two years ago it was a niche tool for GTM engineers. Now nearly two-thirds of the fastest-growing B2B companies run it.
What Clay did was democratize data orchestration. Before Clay, enriching a lead meant picking one provider (ZoomInfo or Clearbit or Apollo) and accepting whatever data they had. Clay made it possible to waterfall across 50+ providers, build custom enrichment logic, and create automated research workflows that rival what a human SDR does manually.
But Clay is a workflow builder, not a GTM platform. It enriches and routes data. It does not own the CRM record. It does not trigger multi-channel sequences. It does not score signals or manage pipeline. Teams running Clay still need the rest of the stack — which is why you see Clay sitting alongside ZoomInfo (73%), Clearbit (41%), and Apollo (24%) rather than replacing them.
The companies in this dataset are not simplifying their stacks. They are adding intelligence layers on top of existing infrastructure. That is expensive, complex, and fragile.
Intent Data Is Fragmenting
The intent and signals category tells an interesting story:
| Tool | Adoption |
|---|---|
| 6sense | 38% |
| Demandbase | 32% |
| Common Room | 19% |
| Sumble | 11% |
| Unify | 11% |
| Pocus (acquired by Apollo) | 8% |
| UserGems | 5% |
6sense and Demandbase still lead, but newer signal tools — Common Room, Sumble, Unify, Pocus — are fragmenting the category. The legacy ABM platforms built their businesses on IP-based intent (tracking which companies visit competitor websites). The newer tools are pulling signals from community activity, product usage, job changes, and social behavior.
This fragmentation means teams are increasingly stitching together multiple signal sources rather than relying on a single intent provider. More data, more complexity, more integration work.
The AI SDR Gap Is the Opportunity
Now, back to the headline: zero off-the-shelf AI SDR adoption among the 63 fastest-growing B2B companies.
This does not mean these companies reject AI in their GTM motion. They clearly embrace it — 65% use Clay for AI-powered enrichment workflows, 84% use Gong for AI conversation intelligence, and their data infrastructure investments (dbt, Snowflake, Fivetran) are specifically designed to feed AI models.
What they reject is the premise of current AI SDR products: a standalone agent that sends outbound emails using generic personalization, disconnected from the company's data infrastructure, CRM, signal intelligence, and pipeline context.
The fastest-growing companies looked at 11x.ai charging $8,000/month to email 10,000 contacts and decided they could do better by building custom workflows on top of Clay, connecting to their own data warehouse, and triggering actions based on real intent signals rather than spray-and-pray sequences.
They are right. But building that custom stack requires a team of GTM engineers, six-figure data infrastructure budgets, and months of integration work. The average B2B company does not have Rippling's 31-tool stack or Vercel's four data orchestration platforms.
What This Means for the Other 99% of B2B Companies
The gap in the market is clear. The best GTM teams want:
- Unified data enrichment across multiple providers — not locked into one vendor's data
- Signal intelligence from intent data, website visitors, job changes, product usage, and social activity — not just one source
- AI that operates within their GTM context — connected to CRM, pipeline, and historical engagement data
- Multi-channel orchestration — email, LinkedIn, phone, and chat triggered by real signals
- The intelligence of a custom-built stack without the 31-tool complexity
That is exactly the gap MarketBetter was built to fill. A single platform that combines multi-provider data enrichment, real-time signal detection, AI-powered campaign orchestration, and CRM integration — delivering the sophistication of Rippling's stack without requiring a team of GTM engineers to wire it together.
The fastest-growing B2B companies proved that the future of GTM is data-driven, signal-based, and AI-augmented. They also proved that today's standalone AI SDR products are not the answer. The companies that bridge that gap — delivering enterprise-grade GTM intelligence in a platform that mid-market teams can actually use — will own the next wave.
The Takeaway
When the 63 fastest-growing B2B companies unanimously reject a product category, that is not a market timing issue. It is a product design issue. The AI SDR category built products that automate the lowest-value part of sales (sending emails) while ignoring the highest-value part (knowing who to talk to, and why, right now).
The winners in GTM are not the companies that send the most emails. They are the companies with the best signal-to-action pipeline — the ones that see a buying signal and act on it within 24 hours, across every channel, with full context.
That is the standard. Everything else is noise.