{"version":"1.0","type":"card","id":"8734c172-d337-443c-9cec-862ea3c4189d","url":"https://stacklist.com/card/8734c172-d337-443c-9cec-862ea3c4189d","title":"What Tools Belong in a GTM Engineer's Stack?","source_url":"https://prospectai.co/resources/blog/gtm-engineer-tech-stack-2026","note":"Organizes the tool categories: enrichment, signal, outbound, email infrastructure that make up a working GTM stack, with tradeoffs stated plainly rather than a vendor ranking.\n","image":{"url":"https://ucarecdn.com/3a6f390e-dd28-49f6-aa63-778e20225623/","alt":"What Tools Belong in a GTM Engineer's Stack?","width":800,"height":832},"stack":{"id":"6270943b-9e2c-4f80-8773-534a089159d1","title":"GTM Engineering & AI-Native Outbound: What Modern Revenue Teams Are Actually Building in 2026","url":"https://stacklist.com/c/business/stack/6270943b-9e2c-4f80-8773-534a089159d1"},"created_at":"2026-07-01T15:49:33.501Z","updated_at":null,"aco":{"summary":"The guide provides a comprehensive breakdown of the tools GTM engineers should use in 2026, organized by functional layers including contact data, enrichment, outbound sequencing, and AI visibility. It compares major platforms like Prospect AI, Apollo.io, ZoomInfo, Clay, and others, offering honest trade-off assessments to help build an integrated, scalable stack.","tags":["gtm-engineering","tech-stack","outbound-automation","sales-tools","data-enrichment","ai-sdr","b2b-sales"],"key_entities":[{"name":"Prospect AI","type":"organization","confidence":0.98},{"name":"Apollo.io","type":"organization","confidence":0.95},{"name":"ZoomInfo","type":"organization","confidence":0.95},{"name":"Cognism","type":"organization","confidence":0.93},{"name":"Clay","type":"organization","confidence":0.9},{"name":"11x.ai","type":"organization","confidence":0.88},{"name":"Artisan","type":"organization","confidence":0.85},{"name":"Amplemarket","type":"organization","confidence":0.85},{"name":"Outreach.io","type":"organization","confidence":0.9},{"name":"Salesloft","type":"organization","confidence":0.9},{"name":"Lemlist","type":"organization","confidence":0.88},{"name":"Instantly","type":"organization","confidence":0.85},{"name":"Smartlead","type":"organization","confidence":0.85},{"name":"GTM Engineer","type":"concept","confidence":0.97},{"name":"outbound sequencing","type":"concept","confidence":0.92},{"name":"AI visibility","type":"concept","confidence":0.88},{"name":"data enrichment","type":"concept","confidence":0.9},{"name":"GDPR compliance","type":"concept","confidence":0.8}],"classification":"reference","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-07-01T15:49:43.602Z"},"token_counts":{"approximate":3587,"cl100k":2770},"content_hash":"sha256:f0629c4069082361b3d2cc18b364942ff998a284ea9aba79dfcdde18a83aa832","acp_version":"0.2","body_available":true,"body_tokens":3587,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/8734c172-d337-443c-9cec-862ea3c4189d.json","html":"https://stacklist.com/card/8734c172-d337-443c-9cec-862ea3c4189d","md":"/api/public/card/8734c172-d337-443c-9cec-862ea3c4189d.md","stack_json":"/api/public/stack/6270943b-9e2c-4f80-8773-534a089159d1.json"}}