Webinar Recap: The GTM Stack of the Future with Kyle Poyar

AI search and buyer signals now shape pipeline before most buyers click a website. In this AirOps webinar, Josh Spilker from the AirOps team sat down with Kyle Poyar of Growth Unhinged to break down how go-to-market (GTM) teams should adapt.

They covered which motions work by stage, why proprietary signals beat generic intent data, how AI search changes attribution, and why repeatable systems now matter more than ever.

Top 5 takeaways

1. Winning GTM stacks motions, not channels.
   The strongest teams pair demand creation and demand capture instead of betting on one motion.
2. Proprietary signals now beat generic intent data.
   First-party engagement and custom account signals are outperforming commoditized outreach triggers.
3. AI search is already shaping pipeline before clicks happen.
   LLM discovery influences vendor selection early and sends fewer, but higher-converting, leads.
4. SEO still matters when focused deeper in the funnel.
   Mid- and bottom-funnel SEO remains effective, especially when paired with answer engine optimization (AEO).
5. Systems are becoming the real scaling advantage.
   Teams need repeatable AI workflows to refresh content faster and sustain growth efficiently.

Stack GTM motions by stage and deal size

The best teams match motions to company stage, buyer readiness, and average contract value. Early-stage companies often win with founder-led content and warm outbound, while larger companies stack inbound, outbound, SEO, account-based marketing (ABM), and selective in-person events.

Start with founder-led content and warm outbound when your team is small and your message still needs fast feedback. As annual recurring revenue (ARR) grows and product-market fit becomes clearer, add stronger inbound and outbound programs. Use intimate events only when deal size can support the extra cost and coordination.

Build outbound around proprietary and first-party signals

Generic signals no longer create much advantage because every team can buy the same data. Strong teams define target accounts more tightly, then build custom triggers from product fit, account context, and first-party engagement.

• Prioritize signals like tech stack changes, job posts, website activity, and social engagement over generic funding alerts.
• Build account lists around real fit signals, not broad firmographic filters alone.
• Combine external signals with first-party data so sales and marketing can act on better timing.

AI search is an influence channel, not just a traffic source

AI search now shapes vendor shortlists before a buyer ever fills out a form. That shift means content teams need to track influence, sentiment, and branded follow-up behavior instead of staring at click volume alone.

Track which prompts mention your brand, which differentiators show up, and how sentiment changes across sources. Pair AEO with mid- and bottom-funnel SEO so you capture both AI discovery and high-intent search demand. Watch branded search growth, self-reported attribution, and close rates from LLM referrals to understand true impact.

Replace traffic reporting with buyer-stage reporting

Traffic and marketing qualified leads do not show how modern buyers actually buy. Teams need to map buyers by stage, review real wins, and show leadership how influence moves pipeline.

• Run win reviews with new customers to understand what shaped the deal before sales entered the picture.
• Classify accounts by stages like aware, interested, considering, and evaluating instead of only by form fills or sales touches.
• Report on pipeline quality, conversion rate, and customer acquisition cost (CAC) alongside citation and sentiment trends.

Keep SEO focused deeper in the funnel

SEO still drives results when teams focus on pages that support evaluation and purchase. Buyers may skip top-of-funnel clicks, but they still search branded terms, comparison terms, and solution-aware queries before they buy.

• Double down on comparison pages, product pages, use case pages, and bottom-funnel education.
• Refresh aging pages faster so your facts, positioning, and differentiators stay current.
• Align SEO and AEO into one program instead of splitting them into competing priorities.

Build repeatable AI workflows for refresh and distribution

Manual workflows cannot keep pace with how fast products, competitors, and search behavior change. Teams need systems that turn source material, brand guidance, and refresh rules into near-ready outputs that humans can review quickly.

Turn brand guidelines, source lists, and update logic into repeatable workflows for content refresh and new drafts. Use AI to create almost-ready work so your team can spend more time on review, judgment, and distribution. Extend those workflows beyond your site into LinkedIn, YouTube, and third-party content where buyers and LLMs look for proof.

"It's just impossible to do things with manual workflows and maintain the pace that's needed." — Kyle Poyar

Fund the channels that move pipeline

Budget should follow pipeline impact, not habit. Kyle called out AI discovery, intent-based outbound, and founder brand as top investment areas, while he pushed teams to keep SEO and AEO aligned instead of treating them as separate bets.

• Invest where you can build a durable edge, not where every competitor can copy the same motion.
• Revisit influencer and creator relationships if you want stronger off-site sentiment and third-party validation.
• Show leadership how each investment improves pipeline generation or lowers CAC.

"The board is going to be wanting to see not just that you're using AI, but that it's influencing pipeline generation and or the customer acquisition costs." — Kyle Poyar

The strongest GTM teams don't chase one new channel and hope it saves the quarter. They stack the right motions, build better signals, measure influence honestly, and create systems that help them move faster with less waste.

How AirOps helps teams build the GTM stack of the future

AirOps helps content and SEO teams turn AI search, refresh workflows, and off-site visibility into a system they can run every week. Instead of patching together one-off tasks, teams can use AirOps to create, update, and distribute content with the structure modern GTM demands.

• Build repeatable workflows for content creation, refresh, and optimization across SEO and AEO.
• Keep messaging grounded with brand context, source material, and review steps that protect accuracy.
• Expand brand visibility across your site and third-party sources so buyers and LLMs find the right story.

Ready to see how that works in practice? Book a call.