[ PACK LIBRARY / PACK 02 ]
Positioning, launches, and content that converts.
41 PLAYBOOKS — 3 OPEN AS FREE SAMPLES
The sample playbooks below are open in full. Unlock the pack once and every playbook here becomes readable, updates included.
Caal, Parker, Ridd, and Flow sequence a 4-6 week launch: positioning, then landing page and email, then social and ads, then directory and PR distribution, with a readiness audit before go-live. Every asset and wave has a named owner and a fixed slot in the sequence.
Caal and Parker produce a full AARRR growth plan tuned to current team size and funding stage, backed by customer research and a running experiment backlog with growth loops, analytics, A/B testing, and reporting wired in. The result is an operating plan detailed enough to defend to a board and specific enough for the team to execute against next week.
Caal and Parker run content clusters, programmatic pages, AI-citation optimization, and schema as an ongoing loop tuned for both Google and AI-answer engines, sequencing the audit with our own GEO skill before executing the broader third-party playbooks. GEO is the fastest-growing and most under-served channel in 2026, and getting cited by AI answer engines early compounds as those engines send more traffic.
Caal and Parker define the ICP, build prospecting lists, draft cold-email sequences with deliverability guardrails, and wire the sales handoff and RevOps routing. The output is a qualified pipeline with deliverability protection baked into every send so the sequences land in the inbox.
Wayfinder settles the reusable operating decisions, Resend supplies consent-aware Contacts, Topics, Segments, and Broadcasts, and a capable drafting agent turns a complete evidence audit into one shared admin draft. Row locking, optimistic editing, and Broadcast reconciliation ensure multiple reviewers cannot send duplicate issues.
Caal designs the incentive structure, tracking plan, launch copy, and payout logic for a word-of-mouth growth loop, with pricing math that keeps the unit economics positive as referrals scale.
Caal redesigns in-app upgrade and paywall screens around a real value metric and clearer framing, tightening the exact moment a free user decides whether to pay without touching the price itself.
Caal maps the first-run experience to a genuine aha moment and cuts signup friction, so new users reach real value in the first session while their intent is still high.
Caal and Ridd scope a buildable free tool — calculator, grader, generator, benchmark — designed for backlinks and lead capture, specced and ready to hand to engineering as a durable top-of-funnel asset.
Caal designs a cancellation flow with save-offer logic and a follow-up win-back sequence, turning the exit into a retention surface that catches a share of leaving users and re-engages the rest weeks later.
Caal and Parker spec a template plus data pipeline for generating hundreds of targeted comparison or location pages with correct architecture and schema, so long-tail traffic scales without hand-writing every page.
Caal and Ordi design an ambassador and advocate program for community-led growth, with Ordi grounding the mechanics against real BSV/1Sat community behavior. The program runs the community as a growth channel with its own incentives, cadence, advocate tiers, and referral hooks.
Caal and Parker run a full GEO/AEO pass — llms.txt, schema, machine-readable files, and citation-friendly structure — so the product gets cited correctly across ChatGPT, Perplexity, and AI Overviews, using our audit skills alongside the broader AI-SEO skill. Closes the early-mover AI-visibility gap.
Caal runs a single-session CRO audit and returns prioritized, testable fixes ranked by expected impact, so you leave with a punch list you can ship this week and a clear read on which changes move conversion most.
Caal rewrites the homepage and runs it through a de-AI pass so it lands with a real voice, clearing the slightly-flat corporate tone that audiences now pattern-match as AI slop and that Google's Helpful Content system quietly demotes.
Caal tightens and de-clutters copy across an existing page set, fixing clarity, consistency, flow, and word choice without a full rewrite — the fast polish pass before a launch or a raise.
Caal and Parker produce a publish-ready comparison page grounded in real competitor research and profiling, capturing high-intent bottom-of-funnel search with claims that hold up because they're sourced from actual product behavior.
Parker returns a diagnostic report on ranking drops, crawl errors, indexing problems, and site-speed regressions, so a traffic dip turns into a prioritized fix list with the likely cause named for each.
Caal implements structured data for rich results across the pages that matter, improving how the site renders in search and how AI engines parse it. A concrete, verifiable technical win.
Caal drafts a full welcome drip run through a de-AI pass, sequenced and ready to load into your ESP. Each email arrives with its trigger and send timing set and reads like a person wrote it.
Caal writes the sequence and its follow-ups with an explicit send-cadence and deliverability warning baked in, since AI-drafted cold email gets spam-flagged at more than twice the human rate. Copy plus the guardrail that keeps it in the inbox.
Caal critiques the pricing page and delivers a Van Westendorp survey ready to run, so the next pricing decision rests on willingness-to-pay data collected from real customers.
Caal and Ridd produce ten-plus platform-specific ad headlines, hooks, primary text, and matching visuals ready to load into a test, so the creative pipeline stops being the bottleneck on paid experiments.
Caal and Parker draft a week of posts in the founder's captured voice and run each through a de-AI pass before scheduling, since a steady posting cadence correlates with materially higher AI-citation rates for the person behind the account.
Parker pulls a cited summary of what's trending and what competitors are saying on X this week, so content and positioning react to real signal you can trace back to specific posts and accounts.
Caal produces the hypothesis and variant spec plus a stats plan covering sample size and test duration, so the experiment runs long enough to reach significance before anyone reads the result.
Parker returns a gap report on missing or broken events and attribution problems, so the numbers the rest of the team reports against are trustworthy.
Caal and Parker assemble a journalist list and pitch angles tailored to the story, so outreach starts from named reporters who cover your space and a hook written for each one.
Caal submits to a prioritized list of directories and tracks the resulting backlinks, capturing the earned-media surface where most AI brand mentions actually originate.
Flow and Caal produce a leave-behind sales asset built from real competitive research, so the sales team can point to sourced claims and side-by-side comparisons in the room.
Ordi snapshots community health — engagement signal, marketplace activity, price context, and X sentiment — for a BSV-native product, giving a crypto-native go-to-market a real read on its own audience.
Caal writes the positioning-driven copy, Ridd designs the page, and Lisa produces the on-brand imagery — a fully designed landing page carried from message to final visuals through three named handoffs. The canonical Caal-to-Ridd-to-Lisa chain.
Parker gathers competitive research, Caal shapes the positioning, and Flow writes the sales one-pager, with each handoff adding a layer the next depends on, so the leave-behind rests on real competitor intelligence.
Parker pulls trend data, Caal builds the SEO/GEO strategy and a content calendar tuned for AI-answer citation, so every planned topic traces back to a real search or social signal Parker surfaced.
Ordi reads the crypto-community pulse, Caal frames the campaign for that audience, and Parker develops the press angle, so the launch speaks to a crypto-native market in its own language and arrives with a press hook ready to send.
Parker scans trends, Caal drafts against the founder's captured voice profile and runs a de-AI pass before scheduling — a recurring content pipeline that sounds like the founder and publishes at the steady cadence AI crawlers reward as an expertise signal.
Caal and Parker produce a fill-in-the-blank Ideal Customer Profile grounded in customer research, so every future copy, ad, sales, and onboarding task starts from the same documented picture of who you're selling to.
Caal captures a voice profile from the founder's real writing so every future draft stays on-brand and recognizably human. The foundation the humanize pass and every content playbook lean on.
Caal documents which channels the team runs and at what cadence, owned by whom, so nobody re-litigates priorities every week. A one-page channel plan the team executes against.
Parker maintains a living competitor reference — positioning, pricing, messaging, and recent moves — that copy, sales, positioning, and strategy work all cite, so the team argues from one shared, up-to-date view of the market.
Caal documents the pricing rationale — tiers, value metric, packaging, offer structure — so downstream playbooks cite one settled decision every time pricing comes up in a task.