
Hey there!
Hereβs the #25 edition of Workflows Weekly, with a few workflows, tools, and ideas you want to rely on
Let's get into it.
1. Featured workflow
LinkedIn content is the best inbound channel for B2B right now.
As a 20-person team with 150K followers, weβve generated 12M+ impressions in the last 10 months.
If I wanted to rebuild our LinkedIn content playbook, hereβs what Iβd do π

Step-by-step breakdown:
Fix your profile first by treating it like a landing page: cover, picture, headline, CTAs, About, and Featured.
Build your audience by connecting with decision-makers and niche influencers via Clay and HeyReach.
Build a content strategy using Claude Code, Scripe, and Ergo for research, competitor analysis, interviews, and analytics.
Mix content by funnel stage: 50% TOF (stories, thought leadership), 25% MOF (how-tos, frameworks), 25% BOF (demos, case studies).
Set up the team and calendar with a writer, editor, and designer, plus a Notion backlog scheduled through Ordinal.
Capture leads using Jungler, Teamfluence, beehiiv, RB2B, and Tally.
To put that 12M impressions in perspective.. same reach through LinkedIn Ads at $40 CPM would cost $480k and we did it for free!
2. Which AI tool you should look into
Web search is splitting in two right now: Google on one side and AI tools like ChatGPT and Perplexity on the other.
Semrush is the best SEO platform to handle both.
They added an AI visibility toolkit that tracks how your brand shows up in AI answers, on top of the usual SEO stack.

It lets you:
Find high-volume keywords your competitor rank for and you donβt
Audit your site for technical SEO errors, broken links, and crawl issues
Track daily rankings for your target keywords by location and device
See competitors backlinks, ad spend, and historical traffic estimates
Generate content briefs with the keywords, length, and structure needed to rank
β Try Semrush
3. What GTM resource we found useful
ABM is the best GTM strategy for companies with a small TAM (under 20k accounts) and a high ACV (above $50K).
Dan just wrote a 4500-word guide on it with Kyle Poyar, based on the 250+ companies we have run GTM for.

The guide covers the 7 components of an ABM engine:
TAM and stakeholder mapping
Account research
CRM clean-up and enrichment
Signal tracking
Awareness scoring
Demand generation
ICP pipeline progression reporting
Plus the full tech stack breakdown across Clay, Claude Code, and HubSpot.
β Read it here
4. AI news of the week
ZoomInfo just launched GTM.AI, a new MCP layer that lets AI tools pull verified B2B data directly from ZoomInfo.
This means Claude, ChatGPT, HubSpot Breeze, Salesforce Agentforce, and Outreach AI can now ground their answers in ZoomInfo's data without rebuilding pipelines or scraping.

It lets you:
Pull verified contacts, company data, and intent signals into Claude or ChatGPT directly
Build target account lists inside agent platforms like Agentforce and HubSpot Breeze
Use one connection for company search, contact discovery, real-time enrichment, and intent retrieval
Tap into ZoomInfo's graph of 100M companies, 500M contacts, and billions of buying signals
β Checkout GTM.AI
Thatβs a wrap for this week.
What part of your GTM workflow feels hardest to manage right now?
Hit reply and let us know. Weβll break it down in a future issue