10x Your Lead to Meetings Booked Using This Workflow with Logan Lyles
Webinars don’t book meetings unless you have this workflow (templates included)
I still remember the first webinar I ran where 300 people signed up, and exactly zero booked a follow-up call. Brutal… but we’ve all been there, and we’ve all accepted that this is how webinars are.
Then Logan Lyles showed me a different way (and time) to think about converting leads into meetings.
Fix this and your funnel tightens itself. This week’s guest went from 2% to 10% booked meetings with one post-signup question, and he shows you how to do it too.
This week’s Stack
1 Video: Logan’s Lead-to-Meeting Fix
1 Prompt: GEO Visibility Opportunity Finder
1 Tool: Presentations Without PowerPoint
3 AI Resources
3 Hot AI Jobs
Let’s go!
Workflow Walkthrough: Logan’s Lead-to-Meeting Fix
Meet Logan Lyles, founder of DemandShift and LinkedIn Top Voice in B2B marketing.
We’ve all watched webinar sign-ups flop into the void. Logan calls it the “conversion cliff.” But instead of blaming the channel, he fixed the follow-up. With one post-registration survey and a smart embed, he took meeting conversion from 1-2% to nearly 10%. No extra SDRs. No six-email nurture sequences. Just smart timing and sharper automation.
In this video walkthrough, Logan shows:
How to wire a two-step flow in to convert leads into meetings
The contact-data URL trick that avoids cookies and drop-offs
How he slashed a $1,060 stack to $110/month
Ways to re-use this setup across webinars, ebooks, and gated content
Grab Logan’s HighLevel snapshot (it’s their name for template) and a free 14 day trield here.
And get his Make template (via json file) for Zoom to HighLevel here, and for HighLevel to Zoom here.
Prompt of the Week: GEO Visibility Opportunity Finder
A founder messaged me last week: “How the hell do I make my brand show up in ChatGPT?” Fair question. Because if you’re not in the answers, you’re invisible.
This prompt was built for that exact challenge. Whether you're in marketing, product, or content, it shows you the biggest visibility gaps across models like ChatGPT, Claude, Perplexity, and more. Then it ranks the highest-impact plays your team can ship in under a month.
Copy me:
You are a senior Generative Engine Optimization (GEO) strategist with deep knowledge of how LLMs source, evaluate, and surface content. You’ve helped brands boost visibility across models like ChatGPT, Claude, Perplexity, and SGE. You think analytically, creatively, and prioritize actions that generate real exposure gains.
Context
We want to audit our GEO performance and surface high-impact opportunities to boost brand visibility across generative AI engines. Our goal is to become a more frequent, trusted presence in AI-generated responses across LLMs.
Inputs
<COMPANY_NAME>
<COMPETITOR_LIST>
<CONTENT_ASSETS_DOC> (e.g., blog posts, tools, product pages, APIs, docs, data, etc.)
<USE_CASES_DOC> (can include keywords or prompt types)
<LLM_LIST> (e.g., ChatGPT, Perplexity, Claude, SGE, etc.)
Task
1. Analyze GEO visibility signals and current content gaps.
2. Identify at least 10 opportunity areas where we can improve exposure.
3. Select the top 5 most actionable, highest-leverage plays.
4. Rank them in descending order of visibility impact potential.
Mandatory Constraints
- Must cover multiple LLMs: Do not limited to one platform.
- Tactical: Each recommendation must be executable with standard content/SEO tools or light dev work.
- No fluff: Ideas must be evidence-based, using assumptions from competitor benchmarking, known LLM behaviors, or prompt-relevance logic.
- Brand-first: Ensure all plays help reinforce or surface our brand name or proprietary assets in-model.
Output Format
Return a Markdown table only (no extra commentary) with the following columns:
| Rank | Play Name (≤6 words) | Target LLM(s) | Asset(s) to Leverage | Visibility Type (Direct / Citation / Embedded) | Competitor Benchmark (Y/N) | Action Steps (1-sentence) | Expected Impact (1-3 sentence rationale) |
- Sort by Expected Impact (high to low)
- Be realistic. Only include plays that could begin execution in under 4 weeks.
Think step-by-step internally, but show only the final table.
I’ve added this to my The Ultimate ChatGPT Prompt Library for B2B Marketing Leaders notion doc. Check it out for 55+ more prompts.
Know someone who might find this prompt useful? Share it with them!
Tool of the Week: Presentations Without PowerPoint
Gamma.app: This turns your outline or idea into polished decks, docs, or mini-sites using AI, no design skills needed. It’s the fastest way to build nicely-designed presentations or landing pages without getting stuck in formatting hell. No, it’s not perfect, but it’s the closest AI tool out there for this job that I’ve found.
Here are some ways you can use it:
Spin up a launch deck from a campaign brief in minutes
Repurpose a blog post into a client-facing one-pager
Create interactive sales enablement pages on the fly
Use my referral link and we both get 200 additional credits.
Or just go directly to gamma.app. 😊
AI Resource Roundup
AI Prompt Engineering in 2025: What Works (and What Doesn’t): On a recent Lenny’s podcast and newsletter, Sander Schulhoff shares what still works in prompt engineering and what’s officially dead (spoiler: stop overusing role prompts). If you rely on AI for content, research, or analysis, this is your cheat sheet for writing prompts that don’t flake under pressure.
5 Prompts To Get Started With ChatGPT Agent Mode: Think of this as your starter pack for the new Agent Mode—yes, the one that can plan, organize, and execute across tools. Marketers, start experimenting with agents for campaign prep, follow-ups, or building your own AI-powered VA.
Designing the Ideal B2B Marketing Team for a Post‑AI World: What happens to marketing teams once AI isn’t a side hustle but a core function? This post maps out where to invest in skills, roles, and structure if you want your team to move fast and stay relevant.
Hot AI Jobs 🔥
Here are three stand-out roles at the intersection of marketing and AI, perfect if you're looking to shape AI-fueled strategies at growing B2B SaaS companies:
AI Search & SEO Manager at Zip
Location: San Francisco Bay Area (hybrid/flexible)
Base Pay: $120,000–$140,000/year
Sr. Manager, Product Marketing – AI + Semiconductor at Lumicity
Location: San Jose, CA (on-site)
Pay: Not disclosed, mid-senior level role
Vibe Growth Marketing Manager at Ramp
Location: Likely San Francisco, CA (U.S.-based with some flexibility)
Base Pay: $96,400–$147,300/year
If this helped you stay ahead of the AI curve, do a fellow marketer a solid and hit that forward button.
Here’s to stacking your insights and scaling your pipeline.
See you in the next drop!
Brandon