The 2026 GTM Playbook · Free
The operational B2B GTM stack, personalized to your business.
One playbook covering everything: outreach, content, LinkedIn distribution, and AI appointment booking. Submit your website and LinkedIn, we generate the personalized Notion doc in 5 minutes.
Read the playbook →10 chapters · 32 min read · updated May 9, 2026
Written by Cedric Seguela. Built ACA after 10 years running B2B outbound systems. Same playbook, operationalized for the 2026 stack.
10 chapters, written in the order a GTM lead would actually run them.
- 01Why your last 100 cold emails got 1 reply, and the math that gets you to 50-100 booked sales calls per monthThree structural shifts broke 2018-style cold outreach. Five rules now define which operators hit predictable B2B pipeline in 2026 and which throttle themselves into mediocrity. By the end of this chapter you know which side you are on, and the path to flip if you are on the wrong one.
- 02How 6 AI agents do the work of a 5-person SDR team for under $100/month in toolsResearcher, Writer, Sender, Personalized Playbook Generator, Replier, Scheduler. Six agents handle every mechanical task a manual SDR org runs at 10-20x lower cost per booked meeting. By the end of this chapter you know exactly which agent does what, what the handoffs look like, and where in ACA each one lives.
- 03Step 1, Write the one-sentence offer that makes every downstream step clickBy the end of this 30-60 min step, you have a single sentence that answers: who you help, what specific outcome they get, in what timeframe, without what objection. Every downstream agent in ACA uses that sentence to filter signals, draft messages, qualify replies, and book the right meetings. Skip this step or do it lazily and every downstream system produces vague output.
- 04Step 2, Build a list of buyers who are ready to buy this week (not next quarter)By the end of this 45-60 min step, your saved-filter spec produces 30-50 fresh in-market prospects per day, automatically. Title + industry + size is the floor of the filter, not the whole thing. Layer 2-3 buyer signals on top and reply rates jump from 1-2% to 4-6% with the same effort.
- 05Step 3, Get your sending engine ready for 1,000-3,000 daily touches from one operatorBy the end of this 60-90 min step, your stack can send 1,000-3,000+ personalized touches per day from one operator: 2-5 warmed LinkedIn accounts, an inbox pool sized to volume, and your Brand voice trained. The 30-day inbox warmup runs in the background while you finish the rest of the playbook. Volume scales by adding senders, not by upgrading seat tiers.
- 06Step 4, Find prospects within hours of their buying signal (before your competitors do)By the end of this 30-45 min step, ACA's Signal engine watches your full TAM continuously and surfaces buyers within hours of their first signal (job posted, funding raised, departure event, topic post on your problem). The Trigger rules engine routes them into the right outbound campaign automatically. Configure once, runs forever. This is what holds reply rate at 4-6% even at thousands of daily touches.
- 07Step 5, Write the messages that get cold prospects to reply 'send it' instead of ignoring youBy the end of this 90-min step, you have a 6-touch sequence that lifts booked-call rate by ~70% in our customer data. The mechanic: stop pitching demos, start offering each prospect a personalized 10,000-word Notion playbook on their exact situation. ACA's Personalized Playbook Generator produces it in 5 minutes from the prospect's website + LinkedIn. Saying yes to a free playbook costs the prospect zero. Saying yes to a 20-min demo costs them 20 minutes. Reply rates follow the math.
- 08Step 6, Wake up to qualified calls already booked on your calendar (with the prospect's context attached)By the end of this chapter, the Unibox AI Replier handles 80% of inbound replies in-thread, the Personalized Playbook Generator delivers per-prospect Notion docs in 5 minutes, and the Scheduler drops calendar slots with full pre-call dossier attached. Cold-to-booked-call elapsed time compresses to ~5 days vs 14-21 in the 2024 sequence-then-call flow. Operator runs the system in 30-45 min/day; shows up to qualified calls.
- 09Step 7, Turn one case study into 6 weeks of personalized cold messages plus 3 LinkedIn posts per weekBy the end of this step, every piece of content you publish becomes outbound fuel for 4-6 weeks, every ICP-matched commenter becomes a qualified DM automatically (Lead-to-Comment system from chapter 6), and your content + outbound run as one compounding system instead of two separate programs with separate metrics. Most teams treat content and sales as different functions; the operators hitting predictable pipeline treat them as the same function viewed from different angles.
- 10Step 8, Double your booked-call rate without doubling your effort (or your team)By the end of this chapter, you have the dashboard, the weekly review cadence, and the multi-account expansion path that takes a working 1,000/day operator to 3,000-5,000/day without burning the system or hiring more people. Volume scales with senders; operator time stays at 30-45 min/day. Plus the four behaviors that separate operators who compound from operators who plateau.
Three things this isn't, and one it is.
It isn't
- A framework you have to translate into a plan.
- An article with vague best-practice advice.
- A list of tools and tactics from 2019.
It is
- The operational plan, day 1 to day 90.
- The list spec, the sequence, the scripts, the templates, the trigger rules.
- Wired to ACA, so you run the plan and the AI agents do the work.
Ready when you are
Read the playbook. Get the personalized version.
10 chapters, 32 min read. Then submit your URLs and we generate your custom Notion doc.