B2B Go-to-Market & AI Transformation.
The real plan we run with B2B clients. What happens week by week, where AI fits in, and what actually gets done each day. Not a sales pitch.
Introduction
Say you've already got a working product, decent customers, and a sales team that can close a deal. But growth has stalled, and the right buyers aren't finding you. This playbook is how we fix that: three phases, six months, and AI used only where it actually earns its place.
Phase 1 fixes how you think about your customers. Phase 2 builds the machine that brings in new business. Phase 3 makes that machine keep paying off by itself. Read the phase cards below for the week-by-week detail, or jump straight to a phase using the menu.
Phase 01 · Days 0–30
Foundations
Get the strategy right. Make the numbers honest. Ship enough quick wins that your team knows this is real work, not another consultant's report gathering dust. By day 30, three things are true: your positioning is locked in, your ICP is named, and your team can explain the strategy without us in the room.
Workstreams
W1.1 Listen first
Week 1 is about listening, not guessing. Most marketing plans get built on what the founder assumes customers care about, and that guess is usually wrong. The real reasons people buy are already sitting in your sales calls and notes. We go dig them out.
What we do
- Talk to 5 to 10 best-fit customers: recent wins, not old logos
- Talk to 5 people who said no to you. They teach you more than the ones who said yes
- Talk to your own team: the founder, salespeople, customer support
- Read through your CRM, sales call recordings, support tickets, and notes on deals you lost
- Read what your customers post on LinkedIn, in their own words, not the words from your sales deck
Where AI helps
We feed the interview transcripts and call recordings into Claude and ask it to find the patterns in what people actually want. Work that would take a person a week by hand gets done in an evening. Then a real person checks it against the original recordings, so we're not just trusting whatever the AI thinks it heard.W1.2 Positioning sprint
Weeks 2 and 3 are where we lock in your strategy. Most fractional CMOs hand you a slideshow and move on. We hand you a real document your team will actually use for the next year.
What we do
- Figure out your real ICP: the customers you actually sell to today, not the dream customers on a wish list
- Pick your competitive lane. Most B2B companies try to compete with everyone and end up standing out to no one. We help you pick the fight you can actually win
- Build your message: what a buyer needs to hear, and in what order, before they'll agree to a meeting
- Test the new message against everything you already have: your website, sales deck, outreach, and ads. Where does it fall apart? Where does it get stronger?
- Write it all down in one document the whole team uses. Not a slideshow nobody reopens. A real reference, with examples.
What you get
A 6 to 10 page document. It spells out who you sell to, what category you compete in, what to say and in what order, your proof points, and what you're deliberately choosing not to say. We go through it together with you and your sales lead, and you sign off on it. Silence doesn't count as approval.
W1.3 Stack audit and AI workflow build
Weeks 3 and 4. Most B2B marketing tech is bloated (too many tools), badly set up, or both. We cut what isn't pulling its weight and set up the AI workflows that will power Phase 2.
What we do
- Check every tool you're paying for: what it costs, whether anyone actually uses it, what overlaps
- Decide what to keep, cut, or swap. We usually cut 30 to 50% of the tools
- Build the first AI workflow: turning a content brief into a draft into a finished piece
- Set up clean tracking and attribution, so you can tell which marketing efforts are actually working
- Write it all down so a new hire could pick it up without asking us anything
Where AI helps
This is the week the content system goes live. A person writes a brief, Claude or GPT writes a first draft using that brief and a guide to your brand's voice, then a person edits it, then a person polishes it. One writer using this system can go from 2 pieces a week to 6 or 8, and the quality gets better, not worse.W1.4 Quick wins shipped
Phase 1 is risky if all anyone sees is planning. If your team reaches day 30 and nothing visible has changed, people lose confidence fast. So we make sure you have real, visible wins to point at.
What we do
- Your homepage's main headline, rewritten with the new positioning. Live by day 25
- One outreach campaign using the new message, tested on a hundred target companies
- One strong piece of content, usually a bold opinion piece from the founder that shows off the new positioning
- Your sales deck rewritten to match. A good first version, not a perfect one
None of these things ARE the strategy. They're proof the strategy actually works in the real world.
Phase 1 deliverables
- A written positioning document (6-10 pages) your team keeps using
- Your ICP defined, with a list of target companies to go after
- Your key messages and proof points, all in one place
- A full audit of your marketing tools: what to keep, cut, or add
- Your first AI workflow live: turning briefs into finished content
- 2 to 3 quick wins shipped publicly that people can see
- Honest tracking set up, so you know what's actually working
What good looks like at day 30
- Sales can explain the positioning in their own words, not by reading a script
- At least one channel is showing real activity with the new message
- Your CRM has a clear, agreed definition of what a good-fit customer looks like
- The founder isn't checking in on marketing every single day anymore
- The team feels momentum and trusts that this is working
Phase 02 · Days 30–80
Engine
Now we build the demand engine. We push the new positioning out across channels, with AI doing the heavy lifting on execution, and make the measurement honest. By day 80, three things are running: your content engine on AI workflows, 2 or 3 demand gen channels producing measurable first conversations, and an ABM system surfacing accounts that are heating up.
Workstreams
W2.1 Content engine (AI-augmented)
The content engine is the single biggest thing we build in Phase 2. Done right, one person can do the work of three. Done wrong, you just flood the internet with AI slop nobody reads.
The pipeline
- Strategy: a content calendar built around buyer journey stages, not random topic ideas
- Brief: a real person writes clear instructions: who it's for, the main point, the takeaway, what happens next
- Draft: Claude or GPT write a first draft using that brief, your brand voice guide, and any source material
- Edit: a real editor restructures it, sharpens the argument, adds a real opinion, cuts the filler
- Polish: one more pass so it sounds right and reads well
- Repurpose: one long piece becomes 8 to 10 smaller pieces: LinkedIn posts, email snippets, sales material, ad copy
Why it works
The brief is where all the thinking happens. Get the brief right, and AI just speeds up good work. Skip it, and AI gives you smooth-sounding nonsense.
Real numbers we see
A single content marketer using this system usually goes from 2 pieces a week to 6 to 8, and quality stays the same or gets better. The hard part stops being "how do we produce enough" and becomes "do we actually have good ideas worth writing about."W2.2 Demand gen channels
For most B2B companies above $10k per deal, the channel mix is some combination of paid LinkedIn for targeted reach, organic LinkedIn for thought leadership, and outbound for direct conversion. Other channels exist but these three pay for themselves first.
How we test
- We test 3 audiences, 2 angles, and 2 offers, on a small budget, for 14 days
- We kill anything that isn't converting and put more behind whatever is
- No vanity metrics. We measure real conversations with potential buyers, not views or impressions
- You get a plain-English report every week, sent straight to the founder
The principle
Most B2B teams waste a whole year "building the brand" on channels that were never going to work for their ideal customers. We squeeze that down to 30 days of testing, then go all in on whatever actually works.
W2.3 ABM workflows
If your ACV is high and your ICP is narrow (it usually is), you can't skip ABM. The AI tooling is what lets one person plus a workflow do what used to need a team of three.
What we build
- A list of 200 to 500 named companies, sorted by how good a fit they are
- AI-powered research on each company: news, hiring, tech changes, leadership moves, all found automatically
- Messages personalized for each company at scale (Clay and Claude working together is the typical setup)
- A daily brief for sales: "these companies got more interested this week, here's why, here's how to approach them"
- When a good-fit company visits your website, sales gets pinged with the context right away
Time saved
Researching 50 companies by hand usually takes a marketer a full day. With the AI workflow set up properly, it takes an hour. That frees up the rest of the day for real strategy and personal touches, instead of typing data into spreadsheets.W2.4 Attribution and reporting
Most B2B companies' reports on "what's working" are basically made up. The default tools give too much credit to whatever happened right before a sale, ignore the role content played earlier, and let everyone claim credit for their favorite channel. We fix that.
What we do
- A full view of every interaction a customer had with you before they bought, tracked and weighted properly
- AI cleans up the messy data in your CRM so the numbers are actually usable
- A weekly report showing what each channel, piece of content, and campaign actually contributed
- The report tells the truth. If a channel we expected to work isn't working, we say so
What we won't do
We won't build fancy dashboards nobody ever opens. You get one page, in plain English, written like a memo, every week. The founder can read it in about three minutes.
W2.5 Sales enablement
Marketing's job isn't over once someone's interested. The handoff to the sales team is where most B2B companies lose deals. We tighten that handoff hard.
What we build
- Cheat sheets (battle cards) on your top 3 to 5 competitors, kept updated automatically by AI
- Email templates for each type of customer, already written with the new positioning
- A briefing for every sales call, auto-generated: who the company is, why they're a good fit, what objections to expect, and what angle to take
- AI-written summaries of why deals were lost, fed back into the strategy
Where AI helps
Prepping for a sales call used to take a salesperson 30 minutes each time. With Clay and Claude pulling the company data and writing the brief automatically, it takes one click. Salespeople walk into every call already warmed up, and more deals close.Phase 2 deliverables
- Your content engine producing 3 times as much as before
- 2 to 3 marketing channels active, with real, measurable results
- Your ABM system live, with named target companies and daily signals on who's interested
- Honest, weekly reports on what's actually working
- Your second set of AI workflows live: research, account targeting, sales support
- A sales support library that's current and kept updated by AI
What good looks like at day 80
- Content output tripled, with the same number of people
- A steady, predictable stream of interest from at least one channel
- Sales has a list of named companies getting warmer, and real reasons to call them
- The founder can see, in real numbers, which channels are driving revenue
- The team feels like a real marketing department, not a side project
Phase 03 · Days 80–180
Compound
Now we make the machine last. We build real recognition with your ideal customers, and write everything down so your team can run it without us. By day 180: new business is predictable, people search for your company by name, potential customers already know who you are before you even talk to them, and you own a fully documented marketing operation.
Workstreams
W3.1 Compounding content
Phase 2 content gets your name out there. Phase 3 content keeps paying off for years. The shift is from reactive (what should we post this week) to building real assets (what can we make once that keeps earning attention year after year).
What we build
- Opinion pieces from the founder or leadership team. We write them, they approve and stand behind them
- Original research: surveys, benchmark reports, real data. AI speeds up the analysis, but your brand gets the credit
- Category-defining pieces, the kind that every "best of" list in your industry ends up linking to
- A plan for spreading it: your own channels first, then paid promotion, then partners and press
The principle: one piece of content that ranks well, gets shared, and gets referenced keeps paying you back for years after you publish it. Most B2B companies never bother, because the payoff is slow. That's exactly why it works so well for the ones who do.
W3.2 Brand and PR
People argue about "brand" all the time and rarely actually build one. We keep it simple: brand is just the pile of evidence that makes people trust you before they've even talked to you.
What we do
- Getting coverage in the publications your ideal customers actually read, not ones they ignore
- Speaking slots at smaller, focused events your buyers actually attend. We skip the big-name events with the wrong audience
- Turning your best customers into named case studies, on-stage guests, and real testimonials. AI helps write the first draft, the customer approves it
- Building the founder's presence on LinkedIn, still one of the most underrated ways to reach B2B buyers, and we lean into it hard
How we track brand
We track brand with numbers that actually mean something: how many people search for your company by name each month, how often your name comes up unprompted in sales calls (your sales team logs this), and quarterly surveys of your ideal customers. If people aren't searching for your name more by month 6, the brand work isn't working, and we'll say so.W3.3 Optimization loops
By Phase 3, the machine is generating real data. The job now is deciding what to keep and what to cut, without getting attached to anything that isn't working, and doubling down on whatever keeps paying off.
What we run
- A weekly list of things to try, ranked by how much impact we expect and how much effort they take
- A monthly check-in on which channels are growing, which are flat, and which are dying
- A quarterly deep review: does the strategy still fit the market? Usually yes. When it doesn't, we adjust it
- Honest reports on what didn't work and why. AI helps us catch ourselves before we slip into "everything's fine" reporting
W3.4 Team and handover
Our job is to build something that doesn't depend on us. That doesn't mean we want to leave, it means you should be able to fire us whenever you want. Most clients choose to keep working with us past day 180, but we do the handover work either way.
What we do
- Written playbooks for every system we built: content, demand gen, ABM, attribution
- Documentation for the AI workflows, so your team can keep using and improving the prompts and automations
- A hiring brief for whoever takes over the marketing role. We help you interview candidates
- A handover plan, usually 30 to 60 days working alongside the new hire
If you'd rather keep us on in a smaller role (Hands On or Strategy & Steering), we scale back our hours and stay involved. That's how most clients run things past month six.
Phase 3 deliverables
- A portfolio of compounding content: opinion pieces, research, category-defining posts
- Real brand presence: press coverage, speaking slots, customer advocacy, founder's LinkedIn
- Weekly and quarterly review cycles up and running
- Written playbooks the team can run without us
- Your third set of AI workflows live: brand monitoring, optimization, distribution
- A ready-to-go hiring plan, if you want one
What good looks like at day 180
- New business coming in predictably, within about 20% month to month
- More people searching for your company by name
- Potential customers say "I keep seeing your name" on their first call with you
- The marketing function can run without us, if that's what you want
- You get to choose: keep us, scale us back, or hand off completely, knowing exactly what each option looks like
The AI transformation layer.
AI runs underneath every phase of this playbook. On its own, it's not the strategy. It's the thing that makes the strategy possible with the small team you actually have. Here's exactly where we use it, and where we don't.
The content engine pipeline
Repetitive work: the kind where doing more of it just takes AI, not more people
- Finding patterns in messy information: interview notes, support tickets, sales call notes
- Writing first drafts of content from a clear brief (always checked by a human editor after)
- Researching companies at scale, for personalized outreach
- Sorting and labeling data: cleaning up the CRM, tagging leads, tracking signals
- A first pass on messy data, before a human looks at it properly
- Watching competitors: automatic alerts when they change pricing, launch something, or hire
- Writing sales call briefs, using company data and notes
- Summarizing why deals were lost
Work that needs judgment, taste, or a real relationship
- Making the big strategic calls: what your positioning is, who your ideal customer is, which fight to pick
- Editorial taste. Every AI draft goes through a real editor, or it reads like an AI draft
- The final polish on anything a customer will see. Voice and rhythm need a human touch
- Deciding what to kill. That takes judgment, and AI doesn't have any
- Relationships. The call between the CMO and the founder is always a human conversation. Always.
The tools we typically use
The exact tools change from client to client, but this is the general shape of it. Most clients already have half of these, and that's fine.
Before and after, typical B2B team
Same effort in, slow results out
- Content output2 pieces / week
- Account research, 50-account batch1 day
- Meeting prep brief30 mins each, often skipped
- Cold outreach volume50 / week, low reply rate
- Attribution reportingManual, monthly, optimistic
- Competitive intelAd-hoc, usually late
Same team, way more output
- Content output6-8 pieces / week
- Account research, 50-account batch1 hour
- Meeting prep briefAuto-generated per booking
- Cold outreach volume500 / week, higher reply rate
- Attribution reportingWeekly, honest, automated
- Competitive intelReal-time alerts to sales
Principles we run by.
Most of these we learned the hard way. They show up in every engagement.
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01
If your sales team can't repeat the positioning in their own words, you don't have positioning. You have a slogan.
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02
Most B2B websites all look the same. Blending in is the easy default. Standing out means picking a side that some buyers won't like.
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03
Some numbers show up fast, like demand. Some take longer, like brand. Both matter. Don't only chase what you can measure this week.
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04
AI is a tool that makes good work faster. It isn't the strategy. If the strategy is wrong, AI just makes you wrong faster.
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05
The fractional CMO who tries to keep clients forever is the one to avoid. Our job is to build something that doesn't need us.
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06
You can't outrun bad positioning with more ads. You can't AI your way out of it either.
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07
The B2B teams that win in 2026 aren't the ones with the biggest budgets. They're the ones whose two people produce what other companies do with ten.
Want this run on your business?
Don't worry, we don't bite. Let's talk about your business, what you're trying to achieve, and what you've already tried to get noticed. We'll walk you through exactly how we work and what it costs. Sound fair?