{"product_id":"roland-ai-sdr-agent","title":"Roland — AI SDR Agent","description":"\u003cdiv style=\"font-family: 'DM Sans', sans-serif; color: #1A1A18; max-width: 680px;\"\u003e\n\n  \u003cp style=\"font-size: 16px; font-weight: 600; color: #1A1A18; line-height: 1.5; margin: 0 0 8px 0;\"\u003e\n    Load Roland into Claude and get a Senior SDR Agent who builds complete outbound prospecting systems — cadence structure, every message written across LinkedIn and email, objection responses, and personalisation guidance — ready to load into Outreach, Salesloft, Apollo, or any sequencing tool.\n  \u003c\/p\u003e\n\n  \u003cp style=\"font-size: 13px; font-weight: 400; color: #555550; line-height: 1.7; margin: 0 0 28px 0;\"\u003e\n    Generic outreach produces generic reply rates. Roland fixes that. He asks targeted questions about the ICP, product, and channels before writing anything — defines the value proposition for that specific buyer, sets the cadence architecture, then writes every message with personalisation markers so customisation is fast without making it obvious a template was used. Works with Claude, ChatGPT, or any AI chat model that accepts system prompts.\n  \u003c\/p\u003e\n\n  \u003cdiv style=\"background: #EEEDFE; border-radius: 12px; padding: 24px 28px; margin-bottom: 24px;\"\u003e\n    \u003cp style=\"font-size: 10px; font-weight: 600; color: #534AB7; letter-spacing: 0.08em; text-transform: uppercase; margin: 0 0 16px 0;\"\u003eWhat you get\u003c\/p\u003e\n    \u003cul style=\"margin: 0; padding: 0; list-style: none;\"\u003e\n      \u003cli style=\"font-size: 13px; color: #1A1A18; padding: 7px 0; border-bottom: 1px solid rgba(83,74,183,0.12); display: flex; align-items: flex-start; gap: 10px;\"\u003e\n        \u003cspan style=\"color: #534AB7; font-weight: 600; flex-shrink: 0;\"\u003e→\u003c\/span\u003e\n        \u003cspan\u003e\u003cstrong\u003eICP value proposition\u003c\/strong\u003e — the specific pain this buyer has, how the product solves it for them specifically, why it is relevant now, and the most credible proof point to lead with so every message is built on a foundation that actually resonates\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"font-size: 13px; color: #1A1A18; padding: 7px 0; border-bottom: 1px solid rgba(83,74,183,0.12); display: flex; align-items: flex-start; gap: 10px;\"\u003e\n        \u003cspan style=\"color: #534AB7; font-weight: 600; flex-shrink: 0;\"\u003e→\u003c\/span\u003e\n        \u003cspan\u003e\u003cstrong\u003eCadence structure\u003c\/strong\u003e — touch count, channel per touch, timing and spacing for every step, and exit trigger, designed before any copy is written because wrong cadence architecture produces poor results regardless of how good the messages are\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"font-size: 13px; color: #1A1A18; padding: 7px 0; border-bottom: 1px solid rgba(83,74,183,0.12); display: flex; align-items: flex-start; gap: 10px;\"\u003e\n        \u003cspan style=\"color: #534AB7; font-weight: 600; flex-shrink: 0;\"\u003e→\u003c\/span\u003e\n        \u003cspan\u003e\u003cstrong\u003eEvery message written\u003c\/strong\u003e — LinkedIn connection requests and InMails within character limits, cold email with subject line, body copy, and CTA, each at a different angle so the sequence progresses rather than repeating the same message with different phrasing\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"font-size: 13px; color: #1A1A18; padding: 7px 0; border-bottom: 1px solid rgba(83,74,183,0.12); display: flex; align-items: flex-start; gap: 10px;\"\u003e\n        \u003cspan style=\"color: #534AB7; font-weight: 600; flex-shrink: 0;\"\u003e→\u003c\/span\u003e\n        \u003cspan\u003e\u003cstrong\u003ePersonalisation markers\u003c\/strong\u003e — every message includes [PERSONALISE: instruction] markers showing exactly where and how to personalise each touch so customisation takes minutes per prospect rather than being treated as optional\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"font-size: 13px; color: #1A1A18; padding: 7px 0; border-bottom: 1px solid rgba(83,74,183,0.12); display: flex; align-items: flex-start; gap: 10px;\"\u003e\n        \u003cspan style=\"color: #534AB7; font-weight: 600; flex-shrink: 0;\"\u003e→\u003c\/span\u003e\n        \u003cspan\u003e\u003cstrong\u003eObjection response scripts\u003c\/strong\u003e — \"not interested,\" \"already have a solution,\" \"not the right time,\" and \"send me some information\" each handled with a specific response so common objections have prepared answers rather than being treated as the end of the conversation\u003c\/span\u003e\n      \u003c\/li\u003e\n      \u003cli style=\"font-size: 13px; color: #1A1A18; padding: 7px 0; display: flex; align-items: flex-start; gap: 10px;\"\u003e\n        \u003cspan style=\"color: #534AB7; font-weight: 600; flex-shrink: 0;\"\u003e→\u003c\/span\u003e\n        \u003cspan\u003e\u003cstrong\u003ePerformance benchmarks and personalisation guide\u003c\/strong\u003e — expected reply rates for this sequence type, what to test first if rates are below benchmark, and specific guidance on what signals to research per prospect with time-per-prospect specified\u003c\/span\u003e\n      \u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv style=\"display: flex; align-items: center; gap: 20px; background: #FFFFFF; border: 1px solid #E8E6E0; border-radius: 8px; padding: 14px 20px; margin-bottom: 24px;\"\u003e\n    \u003cspan style=\"font-size: 11px; color: #888780; font-family: monospace;\"\u003e📄 roland-sdr-agent.md\u003c\/span\u003e\n    \u003cdiv style=\"width: 1px; height: 16px; background: #E8E6E0;\"\u003e\u003c\/div\u003e\n    \u003cspan style=\"font-size: 11px; color: #888780;\"\u003eUnder 2 min install\u003c\/span\u003e\n    \u003cdiv style=\"width: 1px; height: 16px; background: #E8E6E0;\"\u003e\u003c\/div\u003e\n    \u003cspan style=\"font-size: 11px; color: #888780;\"\u003eWorks with Claude \u0026amp; ChatGPT\u003c\/span\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv style=\"border-left: 3px solid #534AB7; padding-left: 16px;\"\u003e\n    \u003cp style=\"font-size: 10px; font-weight: 600; color: #534AB7; letter-spacing: 0.08em; text-transform: uppercase; margin: 0 0 6px 0;\"\u003eHow to install\u003c\/p\u003e\n    \u003cp style=\"font-size: 12px; color: #555550; line-height: 1.7; margin: 0;\"\u003e\n      Download both files → open Claude → paste the contents of roland-sdr-agent.md into your Project Instructions or system prompt → paste the activation prompt into the conversation → Roland asks his questions one at a time and delivers a complete outbound prospecting system ready to load into your sequencing tool. Works with Claude (recommended), ChatGPT, or any AI chat that accepts system prompts.\n    \u003c\/p\u003e\n  \u003c\/div\u003e\n\n\u003c\/div\u003e","brand":"Kissmyskills","offers":[{"title":"Default Title","offer_id":57854208508168,"sku":null,"price":49.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1036\/1444\/7880\/files\/roland-sdr-agent-card.png?v=1779265856","url":"https:\/\/kissmyskills.com\/products\/roland-ai-sdr-agent","provider":"KissMySkills","version":"1.0","type":"link"}