New in the Journal: AI Content Approval Workflow: How to Review Every Draft Before It Publishes
← All playbooks

Marketing playbook · for agencies, consultancies and B2B service firms

Marketing for agencies and B2B services: how to win clients with content

Agencies sell expertise, so their own content is the sample. Buyers read your posts for months before they reach out, then shortlist the firm that clearly understood their problem. The sales cycle is long and LinkedIn does most of the work. This playbook covers who is actually buying, what to publish, how often, and the claims that make buyers walk away.

Questions to answer
17
Content angles
8
Calendar moments
7
Claims to avoid
12

Start here: three pieces to publish first

  1. 01

    One case study with real numbers and a named client

    Problem, approach, result, with the client's permission. Nothing sells a service like proof.

  2. 02

    A named framework for how you work

    Three to five steps with a simple diagram. It makes your method easy to remember and easy to share.

  3. 03

    Founder posts on LinkedIn, three a week

    Personal account, not the company page. Opinions, lessons and behind-the-scenes from client work.

This is the same Agency and B2B playbook ADpilot's writer reads before it drafts anything for a business like yours. Use it on your own, or let the machine work through it for you.

Who you are selling to

  • Mid-market CMO (35-55) - 3-15 person team, $5-50M revenue company, owns demand-gen + brand; reads HBR, Marketing Week, Modern Marketing Engineer; converts on case study + framework
  • Agency owner (30-50) - boutique to mid-tier, 5-50 employees, looking for white-label tools or growth strategy; reads Agency Analytics, Made You Look podcast, AgencyHackers
  • In-house marketer comparing tools (28-45) - Director or Manager-level, builds vendor shortlists; reads G2, Capterra reviews, Reddit r/marketing
  • Founder DIY-marketing (28-45) - first 0-3 marketing hires; reads First Round Review, Lenny's Newsletter, SaaStr
  • VP Sales / Revenue Ops (32-50) - bottom-of-funnel buyer for marketing-aligned tools; reads Pavilion (formerly Revenue Collective), Bowery Capital, Sales Hacker
  • Procurement / vendor evaluator (30-50) - mid-to-late funnel, comparison-table buyer; reads G2 grids, Forrester Wave, Gartner Magic Quadrant
  • Practice lead at consultancy (35-55) - methodology-buyer; values rigor, frameworks, peer-reviewed approach

Questions your customers type into Google

Each one is a page or a post waiting to be written. Answer it better than anyone nearby and the person searching becomes a lead. Swap the brackets for your own name, town or product.

  • "How long until we see results?"
  • "What does engagement look like? Weekly check-in or set-and-forget?"
  • "What size companies do you typically work with?"
  • "Can you share examples / case studies in our industry?"
  • "What's your pricing model? Retainer, project, or performance?"
  • "Who on your team will I actually be working with?"
  • "What metrics do you report on, and how often?"
  • "How do you handle [scope creep / change requests / strategic pivots]?"
  • "Are you full-service or specialist? What do you not do?"
  • "What's your kickoff / onboarding process?"
  • "Do you sign NDAs? What's your data-security stance?"
  • "What if it's not working - what's the exit?"
  • "Do you offer pilots or proof-of-concepts?"
  • "How do you stay on top of [platform changes / industry shifts]?"
  • "How do you measure attribution? Last-touch, multi-touch, MMM?"
  • "What's your stance on [AI / privacy / cookieless / first-party data]?"
  • "Will we own the assets / IP you create?"

Content angles that bring in clients

  • "The X Playbook" - opinionated step-by-step methodology; "The B2B SaaS Pricing Playbook"
  • "What we got wrong" - failure-driven content; counterintuitive trust-builder
  • "Behind the [campaign / product launch / acquisition]" - real data + what worked + what didn't
  • "[Competitor / category-leader] teardown" - critical analysis (with care, not personal)
  • Annual benchmark report - "State of [category] 2026"; lead-magnet + PR-bait
  • "5 things that look like [trend] but aren't" - debunking-bait drives reach
  • First-principles explainer - "How does X actually work?"; reduces complex topic for non-expert readers
  • Customer-led storytelling - customer authors / co-authors the case study; outcome-credibility

What to post, platform by platform

  • Case studies - problem -> approach -> results with named metrics (revenue, pipeline, ROI, hours saved); 1-2 page short-form + 8-12 page long-form
  • Metric-led posts - "We grew pipeline 4x in 6 months. Here's how we did it (with numbers)"; LinkedIn dwell-time winner
  • Framework explainers - named methodology with 3-5 stage diagram (RACE, AIDA, AARRR, JTBD); "shareability" content
  • Behind-the-scenes process - "How our team writes case studies", "What our weekly content review looks like"; trust + authenticity
  • Annual / industry reports - benchmark studies (Litmus State of Email, HubSpot State of Marketing, Edelman Trust Barometer); link-bait + lead-gen
  • Founder-LED LinkedIn posts - personal + professional voice, not corporate-account posts; algorithmically dominant
  • Contrarian takes - "Why [popular practice] is wasted spend"; debate-bait drives reach but requires defensible substantiation
  • SaaS comparison teardowns - "[tool A] vs [tool B] vs [tool C]"; affiliate-incentivized often, FTC disclosure required
  • Webinar / live workshop - 30-45 min, registration-gated, lead-gen-driven
  • Podcast appearance / co-host - cross-audience exposure; B2B podcasts: Marketing Against the Grain, The Logan Bartlett Show, B2B Growth
  • Newsletter (Substack, Beehiiv, Ghost) - owned-audience compounder; long-form weekly cadence

Your content calendar

Publish ahead of each moment. Search interest starts climbing weeks before the date.

  • Q1 (Jan-Mar): annual planning content, "trends for 2026", budget benchmarks, RFP-season; webinar density peaks
  • Q2 (Apr-Jun): case-study refresh, customer-conference season, mid-year benchmark posts
  • Q3 (Jul-Sep): back-to-business after summer, "second-half playbook", H2 strategy reset content
  • Q4 (Oct-Dec): "predictions for 2027" content, year-end review, B2B SaaS Sales-conference cycle (Dreamforce, INBOUND, SaaStr peak)
  • Weekly cadence target: 3-5 LinkedIn posts/founder + 1 substantive long-form per week
  • Monthly: 1-2 case studies, 1 framework essay, 1 webinar or video
  • Quarterly: 1 industry report or original-research drop

Claims and practices to avoid

General guidance from our industry notes, not legal advice. The exact rules depend on your country and regulator.

  • "Guaranteed ROI" or "Guaranteed results" - rarely substantiable; FTC enforcement target
  • "We'll get you on page 1 of Google" - unethical SEO promise; impossible to guarantee
  • "100% pipeline coverage" - mathematically suspect, requires defensible substantiation
  • "Industry-leading" without comparison data + date stamp
  • "Trusted by [logos]" - the logos must be actual customers, not pilots or trials; use "Customers include"
  • "Our customers see [average result]" without showing methodology + sample + date range
  • Anonymous customer quotes without written permission to publish
  • "Award-winning agency" without naming the award + year + sponsor
  • "Patented methodology" without an actual issued patent
  • "AI-powered" when no AI is used (FTC has flagged AI-washing)
  • "Free trial" when credit card required upfront with auto-billing - must be in same view
  • "Cancel anytime" when actual cancellation requires phone call to retention team

Let the machine run this playbook

ADpilot turns the questions above into long-form articles built from live Google results, and the angles into native posts for each platform you connect. The claims list goes into every brief, and eight quality gates check each draft before it reaches your approval queue. You approve, it publishes, then it watches what ranks and what people engage with, and writes the next piece with that in mind.

See how the loop works, step by step

Want a machine
like this for
your brand?

It learns your voice, watches your market, publishes everywhere and keeps your pages ranking. You approve every word.

Start 7 days free

Scale free for 7 days. No credit card.