Free Clay Template: Monitor Brand Mentions Across LinkedIn, Reddit, X.com and more.
A step-by-step playbook for using Clay to listen for brand mentions across LinkedIn, Reddit, Twitter/X.com, and more.
Hope everyone’s staying warm, and if you’re in the U.S., that you made it through the winter storm without getting stranded. I avoided the travel chaos (prayers to those who didn’t), and we only lost one school day with the little kiddos, which feels like a small miracle.
For week’s build, we’re going back to the Clay well, and it’s a bit calmer but just as powerful. Yes, it’s simpler than some of the recent ones, but incredibly useful. In fact, this is another one that I think every marketing team can and should use. It shows how to listen for brand mentions on social, analyze sentiment, and send clean summaries straight to Slack for your team.
This week’s Stack:
1 video: Build a Clay-powered social listening system that sends clean brand signals to Slack
1 prompt: Write hyper-personalized snippets
1 tool: Find and reverse-engineer high-performing content
3 resources: AI orchestration, prospecting prompts, and attribution shifts
3 jobs: Senior GTM and marketing leadership roles at some cool AI companies
Let’s go!
Workflow Walkthrough: Turn Social Noise Into GTM Signal Without Expensive Tools
This episode is a full walkthrough of how I use Clay to run social listening that delivers clean signals straight to Slack, ready for your team to take action on.
You’ll see how I monitor brand mentions across Reddit, LinkedIn, and Twitter/X, score sentiment, summarize long posts, and alert the right people in real time. I also include a few other potential builds you can layer on top of these foundational social listening tables. Again, this is on the simpler side of theClay workbooks I’ve built, but one of the more impactful ones that every team can and should use.
What you’ll see:
How to source brand mentions across Reddit, LinkedIn, and Twitter/X inside Clay
My sentiment scoring setup (negative, neutral, or positive) for instant gut checks
How I summarize messy posts into clean, actionable Slack alerts
When to use Claygent vs lightweight models to control credit usage
How to extend listening into competitor monitoring, prospecting, and creator discovery
If you’re just getting started with clay and need some extra credits to play around with, sign up with my referral code and you’ll get 3,000 free credits.
Here’s the Clay Workbook Template you can copy into your own Clay instance.
Prompt of the Week: Write hyper-personalized snippets
Most “personalized” outreach isn’t actually personal. You can spot it from a mile away. It’s just a first-name merge with a company mention sprinkled in. But this prompt (hopefully) fixes that by forcing the model to anchor every opener in a real, verifiable prospect detail and explicitly tie it to your value prop, so your message feels earned, not automated.
It’s especially useful when you’re doing LinkedIn outreach at scale but still want each opener to sound like you actually did the homework.
System / Role
You are an expert B2B sales copywriter specializing in hyper-personalized LinkedIn outreach.
Context
• Prospect LinkedIn profile: <PROFILE_LINK>
• Our value proposition document: <VP_DOC>
Task
Generate 3 distinct LinkedIn message openers (≈40 words each) for cold outreach.
Requirements
Each opener must:
1. Reference one specific, verifiable prospect detail from LinkedIn (e.g., recent role change, post they shared, award, company initiative).
2. Explicitly connect that detail to a relevant benefit from our value proposition.
3. End with a curiosity-driven question that invites a reply (not a yes/no question).
4. Sound natural, confident, and human—avoid generic praise or sales clichés.
5. Be materially different from the others (no reused angles or phrasing).
Output Format
Return only:
1. Opener 1
2. Opener 2
3. Opener 3
Do not include explanations, headers, or commentary.I’ve added this to my The Ultimate ChatGPT Prompt Library for B2B Marketing Leaders notion doc. Check it out for 60+ more prompts.
Know someone who might find this prompt useful? Share it with them!
Tool of the Week: Snowball, Borrow What’s Working
I’ve got a friend who borrows (read: steals) ideas from high-performing content in his niche, recreates them, and keeps shipping. He’s been blowing up on YouTube, Shorts, and TikTok by doing one thing consistently: not guessing.
This is the tool he uses. Snowball breaks down what’s actually performing, why it’s working, and hands you a blueprint to recreate it.
Try it:
https://www.snowballapp.ai/
AI Resource Roundup
Your AI Teammates Aren’t a Team (Yet) by Liza Adams: A sharp take on why stacking AI tools isn’t enough and why orchestration is the real unlock. If you’re experimenting with agents, copilots, or “AI teammates,” this reframes the problem in a way most teams miss.
What’s Working in AI Prospecting: Prompts to Start Using Today: Scale has been running some awesome workshops/webinars recently, and here’s a link to on I attended a few months back. It’s practical rundown of prompts and workflows SDR teams are actually using right now to book meetings with AI.
How AI Is Changing Marketing Attribution (Carilu Dietrich with Alex Bauer and Mada Seghete.This is a thoughtful look at how AI is reshaping attribution models as buyer journeys get messier and harder to track. Like Carilu, I’ve been following Alex and Mada’s journey building Upside from the beginning because it’s the best attribution software I’ve seen.
Hot AI Jobs
VP of Product Marketing at PolyAI
Location: United States (Remote)
Pay Range: $175K–$200K
Head of Demand Generation at Ashby
Location: United States (Remote)
Pay Range: $230K–$300K
Vice President of Marketing at Pano AI
Location: United States (Remote)
Pay Range: $270K–$300K
I’m spending more time lately thinking about signal vs. noise. And not just in GTM systems, but in how we all work.
More soon… and if you’re building workflows like this, I’d love to hear what you’re experimenting with next.
– Brandon