How Momentum Cut Content Planning Time by 70% and Scaled Production 10x with Searchable
Learn how this GTM strategy consultancy uses Searchable to close the gap between visibility insights and execution—cutting content planning time by 70% while scaling production 10x.
Insights from

Jonathan Kvarfordt
VP of GTM Strategy & Marketing
Use cases
Monitor, Create, Audit
A lean GTM consultancy helping B2B teams modernize
Momentum is a GTM strategy and AI implementation consultancy helping revenue teams modernize their go-to-market approach. With a lean team of 5, they specialize in AI sales coaching frameworks, revenue operations strategy, and GTM transformation for B2B companies navigating the shift to AI-powered sales and marketing.
Stuck between visibility insights and execution
With extensive experience in GTM strategy, Jonathan Kvarfordt understood that AI search was reshaping how prospects research solutions. Momentum was already monitoring their AI search visibility through Peec AI, tracking citations across ChatGPT, Perplexity, and other AI engines. They had solid insights into where they were showing up.
But monitoring alone wasn't enough.
They could see the gaps—weak positioning on technical topics like "AI implementation frameworks," missing citations during key buyer journey moments—but translating those insights into action required significant manual effort. Someone on the team needed to interpret the data, develop content briefs, coordinate with writers, then loop back to measure impact.
The workflow looked like this: daily to weekly monitoring, manual export of insights into spreadsheets, competitive analysis, content brief creation, publishing optimized content, and then... waiting. Measuring actual impact on AI visibility felt like throwing content into a black box. There was no clear connection between "we published this article" and "our visibility improved on these prompts."
For a lean team of 5, that execution gap was slowing them down. Switching between multiple platforms for monitoring, content creation, and measurement wasn't speeding things up either.
Jonathan knew they needed to move from "here's what's happening" to "here's what to do about it" without building an entire AEO function from scratch.
"The AI search space requires systematic optimization, but we didn't have the bandwidth to coordinate across multiple tools. We needed an integrated solution that could close the loop from insights to action to measurement."
See how Momentum tracks their AI visibility
Real-time competitive intelligence across ChatGPT, Claude, Perplexity, and Gemini
An integrated operating system for AI visibility, content, and optimization
Searchable instantly gave Momentum the closed-loop workflow they were trying to build manually. The platform connects visibility monitoring, content generation, and technical optimization in one integrated system.
Following a quick onboarding, Jonathan dove into Searchable's three core modules, each designed to solve a specific part of the AEO challenge:
Monitor: Track where Momentum appears (or doesn't) across AI engines in real-time. Rather than exporting data to spreadsheets, Jonathan can now ask questions in plain English like "Where are we weak on AI implementation topics?" and get immediate, actionable answers. The platform surfaces competitive positioning and identifies content gaps automatically.
Create: Generate AI-optimized content trained on Momentum's brand voice and frameworks. When Jonathan sees they're losing visibility on "AI sales coaching frameworks," he can immediately generate an article that reinforces their methodology—not generic SEO content, but content that actually sounds like Momentum and supports their point of view.
Audit: Get technical recommendations to improve how AI engines parse Momentum's site. The platform surfaced schema markup and structured data opportunities they weren't aware of, helping AI engines extract information more effectively.
The integration with GA4 and Search Console means Jonathan can correlate AI visibility with actual traffic and pipeline impact, not just citation counts.
Daily workflow: Visibility monitoring and competitive analysis to stay on top of where Momentum stands across AI engines.
2-3 times per week: Content generation for newsletters, LinkedIn posts, and case study material for GTM AI Academy. The platform has become part of Jonathan's weekly content planning rhythm—checking where they're weak, generating briefs, and coordinating with the team on execution.
The most powerful shift? The agentic approach. Searchable doesn't just show problems—it actively generates solutions. When Jonathan identifies a gap, the platform can produce content briefs and technical recommendations in seconds, not hours.
"Searchable connects the dots between visibility monitoring, content generation, and technical optimization in one platform. That closed-loop workflow—identify → create → fix → measure—is exactly what we were trying to build manually across multiple tools."
From reactive monitoring to proactive optimization
With Searchable integrated into their workflow, Momentum transformed how they approach AI search, shifting from passive tracking to systematic optimization.
The results since adoption?
• 70% reduction in content planning time—from 3-4 hours per week to just 30-45 minutes
• 10x content production velocity—generating 5-10 articles daily instead of taking a week to produce the same volume
• Faster feedback loops—measuring visibility impact in days rather than weeks
• Critical gap discovery—identified invisibility on high-intent topics like "AI implementation frameworks" and "revenue operations AI strategy" despite strong visibility for "AI sales training"
"It's shifted us from reactive monitoring to proactive AEO strategy. Before, we were tracking visibility but not systematically improving it. Now we have a clear framework for identifying gaps, creating optimized content, and measuring impact—all in one integrated workflow."
Key Results
70%
reduction in content planning workflow time
10x
content velocity—from weekly to daily article production
Days
to measure visibility impact instead of weeks
Changing how Momentum thinks about content strategy
Beyond the immediate time savings and efficiency gains, Searchable has fundamentally changed Momentum's approach to content.
Rather than creating content based on what they think prospects need, they're now creating content based on what AI engines are actually being asked and where competitors are winning citations. It's a shift from assumption-driven to data-driven content strategy.
For a lean, expert-driven team where no one can afford to do full-time AEO work, the platform automates 70-80% of the analysis and execution. Jonathan can focus on strategy and approval rather than manual coordination across tools.
"If you're a GTM leader who understands that AI search is reshaping buyer research but doesn't want to build an entire AEO function, Searchable gives you an integrated operating system for visibility, content, and optimization," Jonathan explains. "It's particularly valuable for lean teams—it's the difference between knowing you need to improve AI visibility and actually being able to do something about it systematically."
For revenue and GTM teams of any size, that's the difference between AI search being a mystery you track and a channel you actually optimize and bring results.
"The shift from monitoring to execution is everything. We went from spending hours analyzing AI visibility gaps to having the platform automatically identify problems and generate solutions like content briefs, technical fixes, and measurement frameworks, literally in minutes. For any size revenue or GTM teams, that's the difference between AI search being a mystery you track and a channel you actually optimize and bring results."

Jonathan Kvarfordt
VP of GTM Strategy & Marketing at Momentum
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