Glen Swindell

Terraboost Media

Fractional RevOps

Led revenue and marketing teams through data-driven strategies that fueled growth and improved efficiency. Optimized operations and empowered teams with streamlined processes, implementing integrated revenue, sales, and marketing initiatives to drive measurable results.

Vice President, Revenue & Marketing Operations

OrangeCore Group

Founded OrangeCore Group, a strategic advisory firm specializing in revenue growth, eCommerce, and cross-functional initiatives. Currently partnering with 3 clients across fintech, retail, and SaaS industries, delivering tailored solutions to drive revenue acceleration and operational efficiencies.

Managing Director & Founder

Various Startups

Providing support in scaling revenue with a focus on sales processes, operational efficiency, eCommerce, and payments strategies.

Revenue Growth Advisor

Pavilion

Executive Member

GTM United

Member

RevGenius

Rev Ops Community Founding Member

CASA of Denton County, Inc.

Previously served on Pulaski County CASA Board of Directors in Little Rock, Arkansas (2018-2020).

Board Member - Governance Chair

Veterati

Board Advisor & Veteran Mentor

BGiving

Fractional engagement to develop and implement their GTM motion.

Fractional Chief Revenue Officer

Verifone

Spearheaded expansion initiatives across the Americas region for mid-market & enterprise eCommerce clients, delivering omnichannel solutions that accelerated client revenue by 14% year-over-year.

VP of Americas eCommerce & Senior Sales Director

Payments & eCommerce Executive @ Verifone | Driving Innovative Payment Solutions | Fintech & SaaS Enthusiast | Servant Leader | Army Veteran

As someone who thrives on driving growth and unlocking business potential, I've spent over a decade doing just that for fintech, eCommerce, and SaaS companies. But what really sets me apart is my approach - shaped by military service, it's all about fostering relationships and aligning teams for long-term success.

At OrangeCore Group, the company I founded, we get our hands dirty partnering with businesses to optimize revenue streams, implement sales processes that actually work, and deliver customized eCommerce and payments solutions. I'm a big believer in servant leadership, so you can count on me to roll up my sleeves, mentor your team, and build an environment of trust and collaboration laser-focused on smashing goals.

Optimization is my jam. I take a no-nonsense approach to analyze bottlenecks and inefficiencies, and then implement improvements that streamline operations and boost profits. Helping organizations unleash their full potential is what fuels me - whether it's cultivating elite teams or steering the ship with bold, visionary initiatives.

When I'm not geeking out over business strategies, you'll likely find me cheering on my favorite sports team, the Razorbacks, while I am embracing my Arkansas roots with a good ol' "Woo Pig Sooie!" 🐗 These days, I call the Dallas-Fort Worth area home, but I'm always down to connect with fellow growth junkies and innovators.

So, if you're looking for a straight shooter who can materialize revenue and drive real results, let's chat!

• The vision for CASA strives to provide a CASA advocate for every abused and neglected child in foster care.
• Previously served on Pulaski County CASA Board of Directors in Little Rock, Arkansas (2018-2020).

Currently building Open Forge AI, a platform of AI agents that helps you grow your brand's visibility on AI search engines and outrank the competition. 

We are a command center for GEO and AEO, where you can measure your AI brand visibility, monitor the competition, and create brand-specific content.

Join my newsletter that teaches you how to get seen by AI Search engines: https://aen.beehiiv.com/subscribe

Subscribe to our YouTube channel to get the latest strategies and tips on getting noticed by AI search engines: https://www.youtube.com/@open_forge_ai

I built and sold an edtech company that provides schools and families with personalized college and career guidance using mentorship, AI, and video instruction. 

Also a Brazilian Jiujitsu Brown Belt.

Jason Patel

I know a founder who went $250k into debt, maxed out his credit cards, spent two years trying to earn just $1. And then sold the entire company.

That founder is me.
 
I made every dumb mistake in the book.

In the first two years, I:
 
• Lowballed my own product because I was desperate for revenue
• Paid consultants to raise money for me (lol)
• Built two product iterations before I met a single real customer
• Hired the first applicant because I needed “help” yesterday

Embarrassing decision after embarrassing decision. 

Then I finally got serious.
 
Within a couple of years, we crossed a few million in revenue.

And when we sold, we were one of the highest-rated firms in the world...with zero VC.
 
There are a lot more painful details in this story.
 
Truth is that the journey was more brutal than joyful.
 
But it also taught me something important:
 
I’m not built to coast. I’m built to build.
 
I told the full story (including the ugly parts) on Built to Sell with John Warrillow. 

When I was struggling badly in 2017, I would listen to John's podcast, dreaming that I could one day be a guest. 

Life is wild. 

Link to episode in comments.

---

Also: I’m always happy to help founders avoid the avoidable mistakes.

This stuff is hard.

But some of us are wired to chase hard things anyway.

Co-founder @ Open Forge AI | AI agents that help you rank on AI Search Engines

1,000+ company convos in 12 months: Blog traffic is dying. Purchase decisions are moving into ChatGPT. At 12pm today, I’ll show you how to build content that gets discovered by AI.

Registration link in comments. 

• Today from 12:00–1:00 PM ET
• Live on Zoom (recording available for registrants)
• Live data + Q/A

Top-of-funnel traffic is declining. But intent is not.
 
What is changing is where influence happens. We are moving away from keywords and moving towards purchase paths.

The model now needs:
 
• Concrete workflows
• Tradeoffs
• Implementation detail
• Credible examples
• Specific vendor capabilities
 
This is mid-funnel territory. I'll show you how to build it. 
 
Mid-funnel queries signal active problem-solving. Words like compare, implement, automate, migrate, integrate, choose, and switch are not curiosity-driven. They are decision-driven.

Why? Because LLMs prefer content with:
 
• Unique data
• Distinct points of view
• Clear entity-attribute-value relationships
• Practical constraints

 We'll cover more of this in the webinar, but here are my action steps for you:

• Step 1: Audit and Condense Generic TOFU Content
• Step 2: Identify High-Intent Mid-Funnel Questions
 
Pull:
 
Sales call transcripts
Customer support tickets
Demo objections

• Step 3: Create Solution-Oriented Assets
• Step 4: Track Competitor Citations (and check out what's working)
• Step 5: Profit
  
Registration link in comments.

AI won’t recommend what it can’t verify. That's why I’m breaking down 3rd-party citations for AEO today at 12 ET.

Registration link in comments.
 
🧠 Today 12:00–1:00 PM ET  
🧠 Live on Zoom (recording for all registrants) 
🧠 Live data + Q&A

AI engines recommend brands they can 𝘤𝘰𝘯𝘧𝘪𝘳𝘮 through independent sources.
 
That confirmation shows up as third-party citations aka the places models pull from when they generate answers, comparisons, and “best option” lists.
 
This masterclass is the playbook for building verifiable authority beyond your website:
 
• What third-party citations actually are (and what they 𝘢𝘳𝘦𝘯’𝘵)
• The off-site surfaces that matter in 2026 (and the ones that don’t)
• The credibility signals that get you referenced
• How to audit your current citation footprint (gaps, weak spots, quick wins)
• How to track competitors’ citations and steal the pattern, not the guesswork
• What to create + where to place it to increase citation odds
• The citation formats AI pulls most: summaries, comparisons, recommendations
• A practical 30-day execution plan + live walkthroughs of real citation behavior

Registration link in comments.

Nobody wants to be first to trust you. They want receipts.

I'm breaking down trust-based 3rd-party citations for AEO on Thursday at 12 ET. 

Registration link in comments.

💯 Thursday, February 19 · 12:00–1:00 PM ET
💯  Live on Zoom (recording available for all registrants)
💯  Live data + Q&A

The brands getting recommended inside ChatGPT aren’t just publishing “great content.”
 
They’re getting picked, trusted, and cited because the model can 𝘷𝘦𝘳𝘪𝘧𝘺 𝘵𝘩𝘦𝘮 across the web.

That’s what this masterclass is about: Trust. 
 
Winning visibility beyond your domain: the citation surfaces models actually pull from, and the credibility patterns that separate brands that get mentioned from brands that get skipped.

Here’s what we’ll cover:
 
• What “third-party citations” really mean in AI search 
• The citation surfaces that matter most in 2026
• How AI engines decide what’s “credible enough” to reference for your industry
• How to audit your citation footprint: where you show up, where you don’t, and why
• How to monitor competitors: who’s getting cited, where they’re earning it, and the patterns that repeat across categories
• What to create (and where to place it) to increase your odds of being cited
• The citation formats that win: what gets pulled into summaries, comparisons, and recommendations
• A practical 30–day action plan + live data walkthroughs (real citation behavior, not theory)

Registration link in comments.

Google updates used to drop you from #2 to #9. LLM updates crush you entirely.

😰 Distribution risk is nasty. Category Authority is how you survive.

You can build something excellent and still fail because the market never reliably sees it. 

The early 2010s gave us a brutal lesson in distribution fragility. When Google rolled out major algorithm shifts like Panda and Penguin, entire businesses lost the majority of their traffic in days. 

Many did not recover because the product was never the real asset. 

🏆 The asset was rankings.

LLM model updates can be even harsher because the failure mode is different.

‼️ AI search introduces a more extreme outcome: binary visibility. 

That makes over-reliance more lethal than ever. Over-reliance has three classic forms: 

• one traffic source
• one content format
• one trust signal

You can literally disappear overnight. 

So how do you survive and thrive? 

"Category Authority" is the most durable hedge against LLM volatility because it makes your brand a stable, high-confidence entity in the model’s mental map of the category.

Category Authority is the degree to which an AI system treats your brand as a primary entity for a topic, based on consistent, corroborated signals across multiple sources.

The goal is not to rank for a phrase. The goal is to become the entity that a phrase resolves to.
 
Category Authority is built on four pillars:
 
1. Distinct expertise: information gain that is hard to replace.
2. Proof density: verifiable claims per unit of content.
3. Third-party validation: contextual corroboration from niche experts and trusted sources.
4. Distribution redundancy: presence across multiple AI and non-AI discovery surfaces.
   
IMHO, Category dominance is not a campaign. It is an operating system. 

The best long-term workflow looks like Visibility Operations, not just Content Marketing.
 
Here's what a good operation looks like: 
 
• Measure: Track Share of Model, query coverage, and citations across major assistants.
• Diagnose: Identify where competitors are being recommended and why.
• Upgrade: Increase distinct expertise and proof density on priority pages.
• Corroborate: Secure niche expert validation and high-quality mentions.
• Distribute: Repurpose into multiple surfaces to build redundancy.
• Repeat: Update quarterly as models and sources evolve.

LLM volatility is not going away. The AI Wars have only just begun. The models are going to make big changes. 

Expect changes. Adapt. Win.

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Glen Swindell

Jason Patel

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The Battle

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Jason Patel

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Jason Patel's LinkedIn Performance

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