ooligo
STACK

AI-augmented outbound prospecting stack

Run AI-enriched, ICP-scored outbound at scale — from list-build through personalized first-touch through CRM sync — for a $5-50M ARR B2B SaaS sales team.

Difficulty
intermediate
Tools
6
RevOps

The stack

The default outbound stack for a modern RevOps team running AI-augmented prospecting in 2026 — list-build, enrichment, scoring, sequence dispatch, and CRM sync, with AI in every layer rather than bolted on at the end.

How the pieces fit

  • Clay is the data + AI workbench. ICP list-building from any seed (job titles, technographics, intent signals), AI columns for company summaries and outreach personalization, waterfall enrichment across 50+ data providers. Clay is where the prospecting list takes shape.
  • Apollo supplies the contact data and the deliverability layer. Email finder, mobile-number finder, deliverability infrastructure. Cheaper per-record than ZoomInfo; integrated sequencing for SMB segments.
  • Outreach is the sequence engine for the upper-mid-market segment. Where the AE workflow happens — sequence orchestration, A/B testing, conversion analytics, full Salesforce sync. Apollo handles SMB outbound; Outreach handles enterprise outbound.
  • Claude writes the personalized opener. Each prospect gets a context-specific first-touch email generated from the Clay-enriched data — company news, role context, ICP fit reasoning. The lead enrichment Skill operationalizes this end-to-end.
  • n8n connects the layers. Triggers Clay enrichment when new leads enter HubSpot; pushes scored and enriched leads to Outreach; routes hot leads to Slack; bidirectionally syncs CRM data back to Apollo for re-targeting.
  • HubSpot is the CRM source of truth. Every enriched lead, every sequence engagement, every conversion routes back to HubSpot for pipeline reporting and forecast.

Why this combination

Pre-AI outbound stacks were Apollo + Outreach + Salesforce — a sequence-and-spray model that relied on volume to compensate for low personalization. The AI layer (Clay + Claude) inverts this: send fewer messages, but each one is informed by company-specific context that takes a human SDR an hour to research. The result is 2-3x reply rates at one-tenth the message volume, which is what makes outbound viable in 2026 when buyers have learned to ignore generic sequences.

The combination accepts six tools (~$50K-$150K annual for a 5-10 SDR team) because each does one thing well. Trying to do this with one all-in-one platform (Apollo’s full suite, Outreach’s full suite) gives up the AI workbench depth that Clay uniquely provides.

Common variations

  • Enterprise / strategic outbound. Replace HubSpot with Salesforce; add Gong for conversation intelligence on the eventual booked meetings.
  • Inbound-led teams. Drop Apollo and Outreach; replace with Default for AI-native inbound routing and Drift or Intercom for chat.
  • Account-based motion. Add 6sense or Demandbase for intent signal and account scoring; the ABM stack is the right reference point.
  • Pipeline overflow / agency-augmented. Use Regie AI for fully-autonomous SDR agents on the lower-tier segment; reserve human SDRs for the upper-mid-market.

What this stack does NOT replace

  • The need for an actual ICP rubric — see ICP and signal-based selling
  • A meeting platform (Calendly, Chili Piper) for converting positive replies to booked time
  • A conversation intelligence tool (Gong, Chorus) for the post-booking sales motion
  • A demand-generation engine — paid search, content, partnerships — that feeds the Clay list-build inputs