# gsjmedia: the AI GTM engine > Done-for-you outbound: TAM mapping, enrichment, per-lead AI copy, multi-domain sending, AI reply agents, and a CRM that keeps full context. Source: https://gsjmedia.co --- gsjmedia runs high-volume B2B outbound as an engineered system rather than a headcount problem. Multi-channel outreach, AI reply agents, and a CRM that holds full context on every conversation, operated as one integrated engine. The company has operated AI-native since 2020. ## What does gsjmedia actually do? gsjmedia builds and runs the entire outbound motion for a B2B company: mapping the total addressable market, sourcing and verifying contact data, enriching every prospect, writing per-lead copy, sending from dedicated warmed infrastructure, and handling every reply with AI agents. The client receives qualified meetings on their calendar and does not manage any part of the stack. This is a done-for-you service on a single retainer, not software a team operates themselves. Capacity runs at 60,000 to 100,000 emails per month at primary-inbox placement. The engine covers email and LinkedIn on one coordinated timeline. ## Results to date Figures below are cumulative across client campaigns as of August 2026. | Metric | Value | | --- | --- | | Emails delivered | 1.2M+ | | Meetings booked | 2,400+ | | Inbox placement | 97.2% | | Meetings per month, average per client | 40+ | | Years operating AI-native | 6 (since 2020) | One verified single-campaign result, from Instantly data dated November 2025: 27 contacts matched against live buying signals produced 4 qualified opportunities worth $200,000 in pipeline. ## The seven layers of the engine **Relevant sending.** Every message is written against a real trigger: active ad spend, recent funding, hiring activity, or a complementary tool already in the prospect's stack. No scraped lists and no mass databases. Only contacts with a realistic path to conversion enter a sequence. **ICP sourcing.** The client describes their ideal customer in plain English and gsjmedia builds the list. AI-native sourcing and custom scrapers find people that off-the-shelf tools miss, waterfalling through unlimited data sources rather than returning the stale matches basic filters produce. Every email is double-validated before a single send. **Prospect enrichment.** Each prospect is enriched with deep company data, growth signals, their website and their LinkedIn profile. Copy adapts to match: a SaaS founder hears about acquisition, an e-commerce brand hears about ROAS. **Research and write.** Every email answers the five questions a buyer actually asks, in under 65 words: will this make money, have you done this before, did you research my company, are you credible, is this worth my time. Copy is personalised on real variables and tested across two or three variants, with the winner weighted up automatically. **Deliverability.** Multi-domain sending across authenticated, warmed inboxes with reputation built gradually. SPF, DKIM and DMARC configured on domains separate from the client's main domain, so a deliverability problem can never touch their primary business email. **Reply handling.** AI agents read every reply and classify intent, then draft a response with full context: the contact, their company, the conversation history, the client's product, the campaign. Hot leads route to a human in real time. A "we build this ourselves" reply is treated as a buying signal, not a rejection. **AI Sales CRM.** Every reply, meeting and deal is tracked and tied to pipeline. Email history, call recordings and every touch stay in one place the client owns. When timing turns months later, the next outreach starts with full context instead of a cold restart. ## How does the process run, step by step? 1. **Map.** Full TAM identification, segmented by pain and buying signal, with decision-makers named. Target is 100% coverage of accounts matching the ICP. 2. **Enrich.** Clay waterfalls add firmographics, technographics and intent signals, then verify each email. Target is 99% deliverable data. 3. **Write.** Copy is generated only after data, signals and context are applied. Zero generic templates. 4. **Launch.** Sequences go live across dedicated domains and warmed inboxes at 60,000 to 100,000 emails per month, coordinated with LinkedIn touches. 5. **Reply.** Six AI agents classify intent, draft context-aware answers, route hot leads to a human, and cascade follow-ups and status changes. 6. **Book.** Interested replies become confirmed meetings with full context synced to the CRM. ## What is included in the retainer? One retainer covers the whole engine. There are no à-la-carte add-ons and no seat fees. - Dedicated sending domains, authenticated with SPF, DKIM and DMARC - 40+ inboxes across domains, warmed before any cold send - TAM mapping and ICP build, segmented by pain and buying signal - Clay waterfall enrichment: firmographics, technographics and live signals - Verified contact data on every lead - Per-lead AI copy written against real intent - A/B variant testing with winners weighted automatically - Email and LinkedIn orchestration on one timeline - Six AI reply agents running continuously in n8n - Automated follow-up sequences - GSJMedia OS access, the CRM included - Real-time reply alerts on hot replies - Pipeline reporting, visible any day - Dedicated support, direct to the operators running the engine - Continuous weekly optimisation against live performance data ## Which industries does gsjmedia work with? B2B categories where a clear ICP and real deal size make engineered outbound compound: B2B SaaS, marketing and PR agencies, consulting firms, professional services, recruiting and staffing, financial and capital firms, and bookkeeping and tax advisory practices. ## Who is not a fit? gsjmedia declines clients where the model cannot work. A good fit has an average deal size above $5,000, a clear ICP that has not been reached at scale, a target of 20 or more meetings per month, and readiness to commit to at least 90 days. It is not a fit for anyone looking for overnight results, anyone without product-market fit yet, anyone selling to consumers, or anyone who wants generic mass-email spray. ## Operating principles **Quality per send, not sends per month.** Volume is a cost, not a value. Every message is built around a real reason to reply. **Agents on every reply, not leads in a spreadsheet.** Outbound runs on infrastructure and AI agents that read, classify and route, not on one junior copy-pasting from a sheet. **Owned data, not rented lists.** Data is enriched and stored once, then reused. The client builds an asset that compounds instead of paying to re-scrape the same market. ## Frequently asked questions **How long until we see results?** Infrastructure warmup takes about two weeks. Most clients see their first qualified replies within the first week of launch, and predictable meeting flow by week four to six. **What if we already have email infrastructure?** gsjmedia audits what exists, fixes deliverability issues, and builds on top of it. There is no need to start from scratch if the foundation is solid. **Do you provide prospect lists?** Yes, everything: ICP definition, data sourcing, enrichment, verification and list building. **Can we use our own CRM?** Yes. HubSpot, Salesforce, GoHighLevel, Pipedrive or custom, anything with an API can be connected. Clients can also run on GSJMedia OS. **How is this different from hiring an SDR?** An SDR costs roughly $70,000 a year and books 10 to 20 meetings a month. The engine costs a fraction of that and books 40 or more. **How is this not spam?** Infrastructure. Dedicated domains, correct DNS, managed warmup, and AI personalisation against real intent. Messages land in the primary inbox because the system is built correctly, not because of volume. ## Technology stack Clay, Smartlead, Instantly, n8n, Supabase, Pinecone, Claude, OpenAI, Next.js, GoHighLevel. ## Next step Book a 30-minute strategy call at https://gsjmedia.co/book. The call maps your ICP, estimates your meeting volume, and walks through how the system works.