Turn LinkedIn Post Comments into Auto DMs, No Manual Follow-Up Needed Using Clay
The Fastest Way to Build GTM Tables, Insights, and Automations That Actually Work using Sculptor (Clay’s AI Copilot)
We’ve all seen those LinkedIn posts: “Comment the magic word and I’ll send you the asset.”
And we’ve all felt the same quiet frustration when nothing ever shows up.
That gap between promise and delivery has always bothered me not because the tactic is bad (I’ve used it and you might be here b/c of it), but because the execution usually is.
I promise that if I ever use this tactic, you will always get the asset. Especially now, because I built a Clay workflow that actually keeps the promise. It scrapes the commenters, detects the magic word (typos and all), and automatically follow up with the right asset via LinkedIn DM or email.
If you’re going to ask for engagement, everyone should get what they were promised.
That’s what this week’s Stack is all about.
This week’s Stack:
1 video: Automate LinkedIn “magic word” follow-ups with Clay
1 prompt: Find and prioritize high-authority speaking opportunities
1 tool: Turn long videos into social clips automatically
3 resources: GTM adoption frameworks, autonomous CRMs, and AI strategy
3 jobs: Senior growth and segment marketing roles at top AI companies
Let’s go!
Workflow Walkthrough: LinkedIn Post Comment to Follow Up on Auto-pilot
We’ve all seen it: a post blows up, comments roll in, and somewhere between meetings and inbox chaos… the follow-ups die. This workflow fixes that completely.
In this episode, I walk through a Clay build that automatically delivers assets to anyone who comments a specific keyword on a LinkedIn post without manual copy-pasting, missed DMs, or broken promises. The same trigger can route messages through LinkedIn DMs or email, depending on your stack, and it’s flexible enough to go far beyond giveaways.
What you’ll see:
How to pull commenters from a single LinkedIn post straight into Clay
How to detect a “magic word” that’s typo- and case-tolerant
How to branch follow-ups into two paths: HeyReach for LinkedIn DMs or Clay’s native email sequencer
How to tokenize messages with smart fallbacks (name, post topic, asset link)
How to throttle sends safely and log outcomes so nothing slips through
If you promise something in the comments, this makes sure everyone actually gets it.
Templates in this episode here:
Prompt of the Week: Authority-First Speaking Opportunity Finder
Most people chase speaking opportunities backward. They pitching every podcast or event that will listen, then wondering why nothing converts. The real leverage comes from being selective: right audience, right authority level, right moment.
This prompt flips the process. It helps you systematically find, score, and prioritize high-fit speaking opportunities (podcasts, conferences, webinars, etc.) based on audience fit first, then reach and authority.
ROLE / CONTEXT
You are a speaker booking strategist and speaking-opportunity researcher. Your job is to find high-fit speaking opportunities for a subject matter expert (SME), including podcasts, virtual events, webinars/summits, conferences, panels, AMAs, and association events—and prioritize by audience fit, reach, and authority.
SME INPUTS (VARIABLES)
SME Name: [SME_NAME]
Title: [SME_TITLE]
Bio (≤200 characters): [SME_BIO_200]
Credibility markers (bullets): [SME_CREDIBILITY]
Signature talk topic: [SME_SIGNATURE_TOPIC]
Industry / Category focus: [INDUSTRY]
Core topic / theme: [TOPIC]
Persona to reach (job titles + buyer/user): [TARGET_PERSONA]
B2B or B2B2C context: [B2B_OR_B2B2C]
Geography + format preferences: [GEO_PREFERENCES] (e.g., North America, virtual-first)
Time window: [TIME_WINDOW] (e.g., next 90 days, next 6 months)
Opportunity types to include/exclude: [INCLUDE_TYPES] / [EXCLUDE_TYPES]
Dealbreakers / brand safety / competitor exclusions: [CONSTRAINTS]
Output volume: Find [N] opportunities (default 25)
OBJECTIVE
Find and rank speaking opportunities where [SME_NAME] can credibly pitch [SME_SIGNATURE_TOPIC] to [TARGET_PERSONA] within [INDUSTRY], optimizing for:
Audience fit (most important)
Reach
Authority
If any variable is missing, make reasonable B2B/B2B2C assumptions and list them explicitly before results.
RESEARCH REQUIREMENTS
1) Where to look (use web research if available)
Use a mix of:
Podcast directories + “top podcasts in [INDUSTRY/TOPIC]” lists
Industry associations + member events
Conference sites + “Call for Speakers / CFP / Call for Proposals” pages
Speaker CFP platforms (e.g., Sessionize-like directories), event aggregators, newsletters
LinkedIn events, Meetup, community groups, and relevant sub-communities
Past event agendas to identify recurring series and organizers
If you cannot browse, output:
15–25 high-intent search queries tailored to [INDUSTRY], [TOPIC], [TARGET_PERSONA]
A source map (what sites/directories to check first and why)
2) Qualification rules (B2B/B2B2C “best judgment” defaults)
Prioritize opportunities that:
Serve professional audiences aligned to [TARGET_PERSONA]
Have evidence of reach (downloads, subscribers, attendee counts, sponsor tiering, notable speakers, press/partners)
Have authority signals (reputable host/org, well-known guests, established conference brand, credible association)
De-prioritize:
Purely consumer/general-interest shows unless tightly aligned to B2B2C buyer/user intent
Events with unclear submission/contact path (unless organizer contact is identifiable)
3) Data to capture for EACH opportunity
For each opportunity, collect:
Name + type (podcast / conference / webinar / panel / summit / etc.)
Audience & persona fit (who listens/attends; why it matches [TARGET_PERSONA])
Topic fit (what they cover; suggested angle for [SME_SIGNATURE_TOPIC])
Reach indicators (downloads/subscribers/attendees or proxy signals)
Authority indicators (host credibility, notable guests, sponsors, association, press)
Submission/pitch path (CFP link, booking email, form, producer contact, LinkedIn)
Timing (upcoming dates, CFP deadlines if available)
Location/format (virtual/in-person; city)
Any speaker fees / honorarium info (if visible)
Source link(s)
SCORING + PRIORITIZATION
Create a 0–10 score for each dimension:
Fit (0–10)
Reach (0–10)
Authority (0–10)
Compute a Weighted Score:
Fit 50%
Reach 30%
Authority 20%
Then rank highest to lowest.
DELIVERABLE (OUTPUT FORMAT)
A) Ranked Opportunity List (Top [N])
Provide a table with columns:
Rank
Opportunity
Type
Fit / Reach / Authority (0–10 each)
Weighted Score
Why it’s a match (1–2 lines)
Pitch path + best contact
Deadline/date (if any)
Link(s)
B) “Best Bets” Shortlist (Top 5)
For the top 5 opportunities, provide:
A custom pitch angle for [SME_NAME] (specific to that show/event)
2–3 suggested talk titles
A 75–120 word talk abstract
Any hooks tied to the audience’s likely pains/outcomes (B2B/B2B2C appropriate)
C) Outreach Assets (ready to send)
Write:
Podcast pitch email (short + punchy)
Conference/CFP submission blurb (professional)
LinkedIn DM to organizer/producer (≤500 chars)
Each should reference:
[SME_CREDIBILITY]
[SME_SIGNATURE_TOPIC]
A clear audience benefit for [TARGET_PERSONA]
A simple call-to-action
D) Next-step Recommendations
5–8 tactical next steps to book faster(warm intros, sponsor lists, past speaker referrals, batching outreach, follow-up cadence)
QUALITY BAR
Be specific (names, links, contacts, dates).
Avoid generic filler.
If data is unknown, say “Not found” and provide the best proxy signal or next research step.I’ve added this to my The Ultimate ChatGPT Prompt Library for B2B Marketing Leaders notion doc. Check it out for 60+ more prompts.
The Ultimate ChatGPT Prompt Library for Marketing Leaders
I remember the first time I used ChatGPT for marketing. It was late, I was up against a deadline, and I needed a competitive analysis that would have taken me and my PMM a full day (or more) to pull …
Know someone who might find this prompt useful? Share it with them!
[share]
Tool of the Week: Turn One Video Into a Week of Content
If you’re sitting on long-form video and not slicing it up, you’re leaving reach on the table. Munch is built to fix that by automatically pulling short, high-signal clips from your videos and formatting them for social.
Full disclosure: I haven’t gone all-in on this one yet. A friend showed it to me yesterday, swears by it, and I’m genuinely excited to test it myself. But the promise of less manual editing, faster distribution, more mileage from the content you’re already making is an intriguing one to me.
Try it: https://www.munchstudio.com/
AI Resource Roundup
The Autonomous CRM: 6 Months Later (The Signal with Brendan Short): A deep revisit to the idea that CRM isn’t about data entry anymore but rather about autonomy. Clarify’s new product “Rep” shows how AI can proactively manage deals, meetings, and follow-ups instead of passively waiting for commands. This is a glimpse of where GTM productivity tools are headed this year.
The Blueprint for AI GTM Adoption (The GTM Engineer): A practical, three-level framework for adopting AI in go-to-market organizations, distilled from real deployments. It stresses foundational data quality and disciplined execution before scaling automation, a useful sanity check if your org’s AI projects feel flaky or inconsistent.
SpaceX Valued at $800BN & Harvey Raises $160M at an $8BN Price & Netflix Acquires Warner Brothers (20CV): A breakdown of what today’s AI and tech valuations actually signal beneath the hype. The real takeaway is how dominant distribution, durable growth, and category ownership are redefining who wins (and who doesn’t). A useful lens for marketers thinking about platform power, market timing, and what “category leader” really means in an AI-first world.
Hot AI Jobs
Head of Growth Marketing at Attio
City / Remote: United States (Remote)
Pay Range: $220K–$260K
Segment Marketing Manager, Startups at Anthropic
City / Remote: San Francisco, CA (Hybrid)
Pay Range: $255K–$320K
Head of Growth Marketing at Vercel
City / Remote: San Francisco, CA (Hybrid)
Pay Range: $230K–$300K
Hope all of your holiday shopping is wrapped up and you’re finally getting a chance to slow down a bit. If you’re reading this between errands, travel plans, or sneaking in one last “quick” work task, I appreciate you spending a few minutes here with me.
Enjoy the downtime, recharge, and I’ll see you back here soon with more workflows worth stealing.
– Brandon
Well done